Tootfinder

A New Class of Analog Precoding for Multi-Antenna Multi-User Communications over High-Frequency Bands
W. Zhu, H. D. Tuan, E. Dutkiewicz, H. V. Poor, L. Hanzo
https://arxiv.org/abs/2509.16634

A New Class of Analog Precoding for Multi-Antenna Multi-User Communications over High-Frequency Bands
A network relying on a large antenna-array-aided base station is designed for delivering multiple information streams to multi-antenna users over high-frequency bands such as the millimeter-wave and sub-Terahertz bands. The state-of-the-art analog precoder (AP) dissipates excessive circuit power due to its reliance on a large number of phase shifters. To mitigate the power consumption, we propose a novel AP relying on a controlled number of phase shifters. Within this new AP framework, we desig…

PPAAS: PVT and Pareto Aware Analog Sizing via Goal-conditioned Reinforcement Learning
Seunggeun Kim, Ziyi Wang, Sungyoung Lee, Youngmin Oh, Hanqing Zhu, Doyun Kim, David Z. Pan
https://arxiv.org/abs/2507.17003

PPAAS: PVT and Pareto Aware Analog Sizing via Goal-conditioned Reinforcement Learning
Device sizing is a critical yet challenging step in analog and mixed-signal circuit design, requiring careful optimization to meet diverse performance specifications. This challenge is further amplified under process, voltage, and temperature (PVT) variations, which cause circuit behavior to shift across different corners. While reinforcement learning (RL) has shown promise in automating sizing for fixed targets, training a generalized policy that can adapt to a wide range of design specificati…

RADE for Land Mobile Radio: A Neural Codec for Transmission of Speech over Baseband FM Radio Channels
David Rowe, Tibor Bece
https://arxiv.org/abs/2509.17286 https://

RADE for Land Mobile Radio: A Neural Codec for Transmission of Speech over Baseband FM Radio Channels
In the 1990s Land Mobile Radio (LMR) systems evolved from analog frequency modulation (FM) to standardised digital systems. Both digital and analog FM systems now co-exist in various services and exhibit similar speech quality. The architecture of many digital radios retains the analog FM modulator and demodulator from legacy analog radios, but driven by a multi-level digital pulse train rather than an analog voice signal. We denote this architecture baseband FM (BBFM). In this paper we describ…

Atmel ATSAMA5D27. Also not my best work, but hey it's a sample I have so might as well photograph it.
It was desoldered from something but I have no idea what the origin was.
https://siliconprawn.org/map/atmel/atsama5d27/azonenberg_mz_mit20x/…

De-crackling Virtual Analog Controls with Asymptotically Stable Recurrent Neural Networks
Valtteri Kallinen, Lauri Juvela
https://arxiv.org/abs/2509.15622 https://

De-crackling Virtual Analog Controls with Asymptotically Stable Recurrent Neural Networks
Recurrent neural networks are used in virtual analog modeling applications to digitally replicate the sound of analog hardware audio processors. The controls of hardware devices can be used as a conditioning input to these networks. A common method for introducing control conditioning to these models is the direct static concatenation of controls with input audio samples, which we show produces audio artifacts under time-varied conditioning. Here we derive constraints for asymptotically stable …

Bamboléo

Formation of thiocarbonic acid (H2CS3) - the sulfur counterpart of carbonic acid (H2CO3) - in interstellar analog ices
Lina Coulaud, Jia Wang, Ashanie Herath, Andrew M. Turner, Mason Mcanally, Ryan C. Fortenberry, Ralf I. Kaiser
https://arxiv.org/abs/2509.19065

Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists
Haohang Xu, Chengjie Liu, Qihang Wang, Wenhao Huang, Yongjian Xu, Weiyu Chen, Anlan Peng, Zhijun Li, Bo Li, Lei Qi, Jun Yang, Yuan Du, Li Du
https://arxiv.org/abs/2508.13157

Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists
Large Language Model (LLM) exhibits great potential in designing of analog integrated circuits (IC) because of its excellence in abstraction and generalization for knowledge. However, further development of LLM-based analog ICs heavily relies on textual description of analog ICs, while existing analog ICs are mostly illustrated in image-based circuit diagrams rather than text-based netlists. Converting circuit diagrams to netlists help LLMs to enrich the knowledge of analog IC. Nevertheless, pr…

"analog alley" is the rare neighborhood branding i can get into (er, maybe), now with horror books, gaming store, & video shop. https://greenpointers.com/2025/08/20/the-twisted-spine-a-new-horror-bookstore-in-wi…

A formula for the Jack super nabla operator
Houcine Ben Dali
https://arxiv.org/abs/2509.18625 https://arxiv.org/pdf/2509.18625

Transversal STAR architecture for megaquop-scale quantum simulation with neutral atoms
Refaat Ismail, I-Chi Chen, Chen Zhao, Ronen Weiss, Fangli Liu, Hengyun Zhou, Sheng-Tao Wang, Andrew Sornborger, Milan Kornja\v{c}a
https://arxiv.org/abs/2509.18294

All-magnonic neurons for analog artificial neural networks
David Breitbach, Moritz Bechberger, Hanadi Mortada, Bj\"orn Heinz, Roman Verba, Qi Wang, Carsten Dubs, Mario Carpentieri, Giovanni Finocchio, Davi Rodrigues, Alexandre Abbass Hamadeh, Philipp Pirro
https://arxiv.org/abs/2509.18321

Die Schulmails werden in drei Farben und drei unterschiedlichen Schriftarten verfasst.
Die Texte in docx-Dateien angehangen.
Das ist Digitalisierung.
Analog dazu das schwarze Brett.

The Effects of Linear Matter Power Spectrum Enhancement on Dark Matter Substructure
Ethan O. Nadler, Vera Gluscevic, Andrew Benson
https://arxiv.org/abs/2507.16889 https://

The Effects of Linear Matter Power Spectrum Enhancement on Dark Matter Substructure
We present cosmological dark matter (DM)--only zoom-in simulations of a Milky Way (MW) analog originating from enhanced linear matter power spectra $P(k)$ relative to the standard cold, collisionless DM (CDM) cosmology. We consider a Gaussian power excess in $P(k)$ followed by a cutoff in select cases; this behavior could arise from early-universe physics that alters the primordial matter power spectrum or DM physics in the radiation-dominated epoch. We find that enhanced initial conditions (IC…

CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing
Ckristian Duran, Nanako Kimura, Zolboo Byambadorj, Tetsuya Iizuka
https://arxiv.org/abs/2509.17355

CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing
The increasing complexity and energy demands of large-scale neural networks, such as Deep Neural Networks (DNNs) and Large Language Models (LLMs), challenge their practical deployment in edge applications due to high power consumption, area requirements, and privacy concerns. Spiking Neural Networks (SNNs), particularly in analog implementations, offer a promising low-power alternative but suffer from noise sensitivity and connectivity limitations. This work presents a novel CMOS-implemented fi…

Analog computation with transcriptional networks
David Doty, Mina Latifi, David Soloveichick
https://arxiv.org/abs/2508.14017 https://arxiv.org/pdf/2508.14…

Analog computation with transcriptional networks
Transcriptional networks represent one of the most extensively studied types of systems in synthetic biology. Although the completeness of transcriptional networks for digital logic is well-established, *analog* computation plays a crucial role in biological systems and offers significant potential for synthetic biology applications. While transcriptional circuits typically rely on cooperativity and highly non-linear behavior of transcription factors to regulate *production* of proteins, they a…

Identifying rocky planets and water worlds among sub-Neptune-sized exoplanets with the Habitable Worlds Observatory
Renyu Hu, Michiel Min, Max Millar-Blanchaer, Jacob Lustig-Yaeger, Tyler Robinson, Jennifer Burt, Athena Coustenis, Mario Damiano, Chuanfei Dong, Courtney Dressing, Luca Fossati, Stephen Kane, Soumil Kelkar, Tim Lichtenberg, Jean-Baptiste Ruffio, Dibyendu Sur, Armen Tokadjian, Martin Turbet

Identifying rocky planets and water worlds among sub-Neptune-sized exoplanets with the Habitable Worlds Observatory
Astronomers are debating whether the plentiful "sub-Neptune" exoplanets -- worlds a bit larger than Earth but smaller than Neptune -- are predominantly rocky planets, water-rich "ocean worlds," or gas-enshrouded mini-Neptunes. This question is crucial because such sub-Neptune-sized planets are among the most common in our galaxy, yet we have no analog in our own solar system, making them a key to understanding planet formation and diversity. It also directly impacts the search for habitable wor…

Darboux's Theorem in $p$-adic symplectic geometry
Luis Crespo, \'Alvaro Pelayo
https://arxiv.org/abs/2508.15443 https://arxiv.org/pdf/2508.15443

Darboux's Theorem in $p$-adic symplectic geometry
Let $p$ be a prime number. We derive an analog of Moser's Path Method for $p$-adic analytic manifolds and use it to prove a $p$-adic analog of Darboux's Theorem. Hence, in the $p$-adic category there are also no local symplectic invariants other than the dimension, as it happens in the real case: locally near any point, a $2n$-dimensional $p$-adic analytic symplectic manifold is symplectomorphic to $((\mathbb{Q}_p)^{2n},\sum_{i=1}^n\mathrm{d} x_1\wedge\mathrm{d} y_i)$. We also prove a $p$-adic …

Bridging the Analog and the Probabilistic Computing Divide: Configuring Oscillator Ising Machines as P-bit Engines
E. M. H. E. B. Ekanayake, Nikhat Khan, Nikhil Shukla
https://arxiv.org/abs/2508.15234 …

Bridging the Analog and the Probabilistic Computing Divide: Configuring Oscillator Ising Machines as P-bit Engines
Oscillator Ising Machines (OIMs) and probabilistic bit (p-bit)-based computing platforms have emerged as promising paradigms for tackling complex combinatorial optimization problems. Although traditionally viewed as distinct approaches, this work presents a theoretically grounded framework for configuring OIMs as p-bit engines. We demonstrate that this functionality can be enabled through a novel interplay between first- and second harmonic injection to the oscillators. Our work identifies new …

Weight Mapping Properties of a Dual Tree Single Clock Adiabatic Capacitive Neuron
Mike Smart, Sachin Maheshwari, Himadri Singh Raghav, Alexander Serb
https://arxiv.org/abs/2509.18143

Weight Mapping Properties of a Dual Tree Single Clock Adiabatic Capacitive Neuron
Dual Tree Single Clock (DTSC) Adiabatic Capacitive Neuron (ACN) circuits offer the potential for highly energy-efficient Artificial Neural Network (ANN) computation in full custom analog IC designs. The efficient mapping of Artificial Neuron (AN) abstract weights, extracted from the software-trained ANNs, onto physical ACN capacitance values has, however, yet to be fully researched. In this paper, we explore the unexpected hidden complexities, challenges and properties of the mapping, as well a…

I feel like people have forgotten what "analog" means. They're living in an analog — digital dichotomy, where everything that's electrical is "digital", and everything else is "analog", entirely ignoring the whole lot of analog electronic devices, or rather dumping them all in the category of "digital".
Perhaps we're lacking a good term for all the non-electrical devices.
#English

Wrote some stuff about what's happening. It's a little dark, I'm a little exhausted. I hope you enjoy it and subscribe.
#USpol

Kimmel and Killing
censorship and extrajudicial killing make each other more likely Just as the United States was switching broadcast television signals from analog to digital, I made my network television debut on Jimmy Kimmel Live! playing Thomas Prusik Parkin, who impersonated his dead mother, Irene Prusik, to collect her Social Security benefits,

The Return of the Cassette Tape: How Analog Music is Making a Comeback https://www.saturdayeveningpost.com/2025/09/the-return-of-the-cassette-tape-how-analog-music-is-making-a-comeback

The Return of the Cassette Tape? How Analog Music Is Making a Comeback | The Saturday Evening Post
It’s not just vinyl that’s become popular again. The humble cassette tape is having a renaissance of its own.

Economy crashing when?
https://www.nature.com/articles/s41586-025-09430-z

Analog optical computer for AI inference and combinatorial optimization - Nature
An analog optical computer that combines analog electronics, three-dimensional optics, and an iterative architecture accelerates artificial intelligence inference and combinatorial optimization in a single platform, paving a promising path for faster and sustainable computing.

Classical first passage problems for $p$-adic stochastic processes
A. Kh. Bikulov, A. P. Zubarev
https://arxiv.org/abs/2509.16096 https://arxiv.org/pdf/250…

Classical first passage problems for $p$-adic stochastic processes
In this paper we present a comprehensive analysis of the solution of the classical problem of finding the distribution density of a random variable - the first passage time to a given domain by the trajectory of a $p$-adic Markov stochastic process with probability density function satisfying the solution of the Cauchy problem for the Vladimirov equation (a $p$-adic analog of the Kolmogorov-Feller equation with the kernel of the Vladimirov operator) with uniform initial distribution in the unit…

On the Design of Capacity-Achieving Distributions for Discrete-Time Poisson Channel with Low-Precision ADCs
Qianqian Li, Lintao Li, Lixiang Liu, Lei Yang, Caihong Gong, Hua Li, Shiya Hao, Xiaoming Dai
https://arxiv.org/abs/2509.17483

On the Design of Capacity-Achieving Distributions for Discrete-Time Poisson Channel with Low-Precision ADCs
This paper investigates the design of the capacity-achieving input distribution for the discrete-time Poisson channel (DTPC) under dark current effects with low-precision analog-to-digital converters (ADCs). This study introduces an efficient optimization algorithm that integrates the Newton-Raphson and Blahut-Arimoto (BA) methods to determine the capacity-achieving input distribution and the corresponding amplitudes of input mass points for the DTPC, subject to both peak and average power cons…

Universal Analog Computation: Fra\"iss\'e limits of dynamical systems
Levin Hornischer
https://arxiv.org/abs/2510.10184 https://arxiv.org/pdf/2510…

Universal Analog Computation: Fraïssé limits of dynamical systems
Analog computation is an alternative to digital computation, that has recently re-gained prominence, since it includes neural networks. Further important examples are cellular automata and differential analyzers. While analog computers offer many advantages, they lack a notion of universality akin to universal digital computers. Since analog computers are best formalized as dynamical systems, we review scattered results on universal dynamical systems, identifying four senses of universality and…

🇺🇦 #NowPlaying on KEXP's #90TEEN
The American Analog Set:
🎵 The Only One
#TheAmericanAnalogSet
https://open.spotify.com/track/2XItbN0HfeLpDamJzeQLqQ

White-Box Reasoning: Synergizing LLM Strategy and gm/Id Data for Automated Analog Circuit Design
Jianqiu Chen, Siqi Li, Xu He
https://arxiv.org/abs/2508.13172 https://

White-Box Reasoning: Synergizing LLM Strategy and gm/Id Data for Automated Analog Circuit Design
Analog IC design is a bottleneck due to its reliance on experience and inefficient simulations, as traditional formulas fail in advanced nodes. Applying Large Language Models (LLMs) directly to this problem risks mere "guessing" without engineering principles. We present a "synergistic reasoning" framework that integrates an LLM's strategic reasoning with the physical precision of the gm/Id methodology. By empowering the LLM with gm/Id lookup tables, it becomes a quantitative, data-driven desig…

Activated random walk on the comb
Matthew Junge, Josh Meisel, Aldo Morelli
https://arxiv.org/abs/2508.14977 https://arxiv.org/pdf/2508.14977

Activated random walk on the comb
The density conjecture for activated random walk on the interval was recently resolved using a new tool called layer percolation. As a step towards understanding how layer percolation extends to activated random walk on more complex graphs, we develop its analog for the comb graph and use it to prove bounds on the critical density. Additionally, we provide simulation evidence suggesting that the comb has different critical densities on its spine and teeth, both of which are smaller than the cri…

Beyond the Dot: an LRD-like nucleus at the Heart of an IR-Bright Galaxy and its implications for high-redshift LRDs
Pierluigi Rinaldi, George H. Rieke, Zihao Wu, Carys J. E. Gilbert, Fabio Pacucci, Luigi Barchiesi, Stacey Alberts, Stefano Carniani, Andrew J. Bunker, Rachana Bhatawdekar, Francesco D'Eugenio, Zhiyuan Ji, Benjamin D. Johnson, Kevin Hainline, Vasily Kokorev, Nimisha Kumari, Edoardo Iani, Jianwei Lyu, Roberto Maiolino, Eleonora Parlanti, Brant E. Robertson, Yang Sun, Cr…

Beyond the Dot: an LRD-like nucleus at the Heart of an IR-Bright Galaxy and its implications for high-redshift LRDs
Little Red Dots (LRDs) are compact, red sources discovered by JWST at high redshift ($z \gtrsim 4$), marked by distinctive "V-shaped" spectral energy distributions (SEDs) and often interpreted as rapidly accreting AGNs. Their evolution remains unclear, as identifying counterparts at lower redshifts is challenging. We present WISEA J123635.56+621424.2 (here dubbed {\it the Saguaro}), a $z=2.0145$ galaxy in GOODS-North, as a possible analog of high-redshift LRDs and a potential missing link in th…

Crosslisted article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/2]:
- Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists
Xu, Liu, Wang, Huang, Xu, Chen, Peng, Li, Li, Qi, Yang, Du, Du

"The TR-1000 is here! Roland’s first analog drum machine since the TR-909 in 1983. The company painstakingly recreated the analog circuits of 16 of the sounds from the TR-808 and TR-909 using modern components." #music #drummachine

Functional Liftings of Restricted Geometric Inequalities
Andreas Malliaris, James Melbourne, Cyril Roberto, Michael Roysdon
https://arxiv.org/abs/2508.15247 https://

Functional Liftings of Restricted Geometric Inequalities
We investigate what we term ``generalized sup-convolutions". We show that functional inequalities that enjoy an interpretation as sup-convolution inequalities can be deduced from the special case of indicator functions corresponding to a geometric inequality. As consequences we derive a Borell-Brascamp Lieb inequality for the Gaussian Brunn-Minkowski inequality and give a functional analog of the log-Brunn-Minkowski conjecture. We also show that Barthe's reverse Brascamp-Lieb inequality is equi…

PSA about common connectors on audio and phone equipment:
The "audio jack" on headphones etc. is called a "phone connector" (it was first used for phone switchboards all the way back in the 1800s).
The "phone jack" on telephones (looks like a smaller Ethernet jack) is called a "registered jack".
The "audio connector" on analog audio and video cables is called a "RCA plug".
Now you know jack shit.

Fragmentation of the IAR along the chains $ \boldsymbol{N=50} $ and $ \boldsymbol{Z=50} $
David Durel, Sophie P\'eru, Marco Martini
https://arxiv.org/abs/2508.14643 https://…

Fragmentation of the IAR along the chains $ \boldsymbol{N=50} $ and $ \boldsymbol{Z=50} $
We study Isobaric Analog Resonances in even-even nuclei along the $ N=50 $ isotonic chain. First, Hartree-Fock-Bogoliubov calculations, using the Gogny D1M effective interaction, have been performed to provide energies and occupation probabilities of nucleon orbitals. The Isobaric Analog Resonances are calculated with the charge exchange QRPA approach on top of then HFB calculations. Fermi transition mechanism is interpreted with the existence of collective modes in the final nucleus. The fragm…

TopoSizing: An LLM-aided Framework of Topology-based Understanding and Sizing for AMS Circuits
Ziming Wei, Zichen Kong, Yuan Wang, David Z. Pan, Xiyuan Tang
https://arxiv.org/abs/2509.14169

TopoSizing: An LLM-aided Framework of Topology-based Understanding and Sizing for AMS Circuits
Analog and mixed-signal circuit design remains challenging due to the shortage of high-quality data and the difficulty of embedding domain knowledge into automated flows. Traditional black-box optimization achieves sampling efficiency but lacks circuit understanding, which often causes evaluations to be wasted in low-value regions of the design space. In contrast, learning-based methods embed structural knowledge but are case-specific and costly to retrain. Recent attempts with large language m…

Crosslisted article(s) found for eess.IV. https://arxiv.org/list/eess.IV/new
[1/1]:
- Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists
Xu, Liu, Wang, Huang, Xu, Chen, Peng, Li, Li, Qi, Yang, Du, Du

China launches probes into alleged US discrimination against Chinese chip companies and suspected dumping of US analog chips used in devices like Wi-Fi routers (Ryan Woo/Reuters)
https://www.reuters.com/world/china/china-

Watermarking and Anomaly Detection in Machine Learning Models for LORA RF Fingerprinting
Aarushi Mahajan, Wayne Burleson
https://arxiv.org/abs/2509.15170 https://

Watermarking and Anomaly Detection in Machine Learning Models for LORA RF Fingerprinting
Radio frequency fingerprint identification (RFFI) distinguishes wireless devices by the small variations in their analog circuits, avoiding heavy cryptographic authentication. While deep learning on spectrograms improves accuracy, models remain vulnerable to copying, tampering, and evasion. We present a stronger RFFI system combining watermarking for ownership proof and anomaly detection for spotting suspicious inputs. Using a ResNet-34 on log-Mel spectrograms, we embed three watermarks: a simp…

Approximate Proximal Operators for Analog Compressed Sensing Using PN-junction Diode
Soma Furusawa, Taisei Kato, Ryo Hayakawa, Kazunori Hayashi
https://arxiv.org/abs/2510.12065 …

Approximate Proximal Operators for Analog Compressed Sensing Using PN-junction Diode
In order to realize analog compressed sensing, the paper considers approximate proximal operators of the $\ell_1$ and minimax concave penalty (MCP) regularization functions. Specifically, we propose to realize the approximate functions by an electric analog circuit using forward voltage-current (V-I) characteristics of the PN-junction diodes. To confirm the validity of the proposed approach, we employ the proposed approximate proximal operators for the $\ell_1$ and MCP regularization functions …

Identifying Dwarfs of MC Analog GalaxiEs (ID-MAGE) - The Search for Satellites around Low-mass Hosts: #DwarfGalaxies: https://fas.dartmouth.edu/news/2025/07/new-dartmouth-survey-maps-satellite-systems-dwarf-galaxies - the discovery of hundreds of potential dwarf galaxies could shed light on the early universe's formation.

Anyon superfluidity of excitons in quantum Hall bilayers
Zhaoyu Han, Taige Wang, Zhihuan Dong, Michael P. Zaletel, Ashvin Vishwanath
https://arxiv.org/abs/2508.14894 https://

Anyon superfluidity of excitons in quantum Hall bilayers
The charged anyons of a fractional quantum Hall fluid are necessarily dispersionless due to the continuous magnetic translation symmetry. Neutral anyons, however, can disperse, resulting in a much richer space of possible ``daughter'' states when doped to finite density. We discuss a natural realization of such physics in quantum Hall bilayers, where a finite density of excitons with fractional statistics is argued to give rise to `anyonic exciton superfluidity,' the charge-neutral analog of an…

And now that I'm below poly, I think it's time to give my microscope a well-deserved break from the near-constant imaging it's been doing the past few weeks.
369963 photos totaling 203.4 GB. Over a hundred hours of imaging time averaging around 3000 photos an hour. 27 etch cycles, 72 imaging runs.
I'll start shooting some analysis video later today talking about the device floorplan and such. But as a teaser, here's the final image just after stripping poly bu…

The Spectroscopy of the 2 1 Dimensional Analog Black Hole in Photon-Fluid Model
David Senjaya, Supakchai Ponglertsakul
https://arxiv.org/abs/2509.03099 https://

The Spectroscopy of the 2+1 Dimensional Analog Black Hole in Photon-Fluid Model
In this paper, we explore quasibound states (QBS), scalar cloud, Hawking radiation, superradiance, and greybody factor of relativistic massive phonon modes in a photon-fluid rotation black hole. We investigate quasibound states and scalar clouds using exact eigensolutions to the analog Klein-Gordon equation in the analog black hole background and revisit the Wentzel-Kramers-Brillouin (WKB) upper bound on the scalar clouds' energy ratio. Using the obtained exact radial solution, we use the Damou…

Analytical Modelling of the Transport in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM Devices
Donato Francesco Falcone, Stephan Menzel, Tommaso Stecconi, Matteo Galetta, Antonio La Porta, Bert Jan Offrein, Valeria Bragaglia
https://arxiv.org/abs/2509.13964

Analytical Modelling of the Transport in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM Devices
The recent co-optimization of memristive technologies and programming algorithms enabled neural networks training with in-memory computing systems. In this context, novel analog filamentary conductive-metal-oxide (CMO)/HfOx redox-based resistive switching memory (ReRAM) represents a key technology. Despite device performance enhancements reported in literature, the underlying mechanism behind resistive switching is not fully understood. This work presents the first physics-based analytical mode…

Stability of digital and analog quantum simulations under noise
Jayant Rao, Jens Eisert, Tommaso Guaita
https://arxiv.org/abs/2510.08467 https://arxiv.org/…

Stability of digital and analog quantum simulations under noise
Quantum simulation is a central application of near-term quantum devices, pursued in both analog and digital architectures. A key challenge for both paradigms is the effect of imperfections and noise on predictive power. In this work, we present a rigorous and physically transparent comparison of the stability of digital and analog quantum simulators under a variety of perturbative noise models. We provide rigorous worst- and average-case error bounds for noisy quantum simulation of local obser…

If you've ever wanted to learn analog electronics for synths, check out Moritz Klein's videos. Each one is a masterclass. The latest for a two-button-all-analog-no-code drum-machine is great. And the result is very expressive!
https://www.youtube.com/watch?v=s9HKXLPiX0w

If you've ever wanted to learn analog electronics for synths, check out Moritz Klein's videos. Each one is a masterclass. The latest for a two-button-all-analog-no-code drum-machine is great. And the result is very expressive!
https://www.youtube.com/watch?v=s9HKXLPiX0w

A One-Class Explainable AI Framework for Identification of Non-Stationary Concurrent False Data Injections in Nuclear Reactor Signals
Zachery Dahm, Vasileios Theos, Konstantinos Vasili, William Richards, Konstantinos Gkouliaras, Stylianos Chatzidakis
https://arxiv.org/abs/2508.12428

A One-Class Explainable AI Framework for Identification of Non-Stationary Concurrent False Data Injections in Nuclear Reactor Signals
The transition of next generation advanced nuclear reactor systems from analog to fully digital instrumentation and control will necessitate robust mechanisms to safeguard against potential data integrity threats. One challenge is the real-time characterization of false data injections, which can mask sensor signals and potentially disrupt reactor control systems. While significant progress has been made in anomaly detection within reactor systems, potential false data injections have been show…

Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays
Kang Eun Jeon, Sangheum Yeon, Jinhee Kim, Hyeonsu Bang, Johnny Rhe, Jong Hwan Ko
https://arxiv.org/abs/2508.15685

Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays
This paper addresses two critical challenges in analog In-Memory Computing (IMC) systems that limit their scalability and deployability: the computational unreliability caused by stuck-at faults (SAFs) and the high compilation overhead of existing fault-mitigation algorithms, namely Fault-Free (FF). To overcome these limitations, we first propose a novel multi-bit weight representation technique, termed row-column hybrid grouping, which generalizes conventional column grouping by introducing re…

On some $q$-analog of an initial value problem with infinite order irregular singularity and Mahler transforms
Alberto Lastra, Stephane Malek
https://arxiv.org/abs/2509.06146 ht…

On some $q$-analog of an initial value problem with infinite order irregular singularity and Mahler transforms
A family of $q$-difference-differential equations in two complex variables is studied, under the action of a so-called Mahler transform on time variable. The appearance of a leading formal $q$-difference operator of irregular type in the equation guarantees the existence of a formal solution to the main problem in time variable, which turns out to be obtained after a $q$-analog of Borel-Laplace procedure. Such formal solution to the main problem is $G_q$-summable along certain directions. The $…

In the early 2010's I was in middle school and was looking forward for new digital "smart" things, smartphones, cameras, tv's and consoles that could do everything, I would have never thought that a decade later I would be fighting to find "dumb" digital things or even analog things.
I just want my washing machine to be just that, thanks. :blobono:

Synchronization and semantization in deep spiking networks
Jonas Oberste-Frielinghaus, Anno C. Kurth, Julian G\"oltz, Laura Kriener, Junji Ito, Mihai A. Petrovici, Sonja Gr\"un
https://arxiv.org/abs/2508.12975

Synchronization and semantization in deep spiking networks
Recent studies have shown how spiking networks can learn complex functionality through error-correcting plasticity, but the resulting structures and dynamics remain poorly studied. To elucidate how these models may link to observed dynamics in vivo and thus how they may ultimately explain cortical computation, we need a better understanding of their emerging patterns. We train a multi-layer spiking network, as a conceptual analog of the bottom-up visual hierarchy, for visual input classificatio…

Man I don't really have a use for something like this right now, but I absolutely love what these guys are doing: analog signal paths with midi control
https://www.guitarworld.com/gear/effects-p

"No matter what type of fuzz you enjoy, you’ll find something to love here": Kernom Moho Fuzz review
Kernom delivers a detailed sweep through the many faces of fuzz

The Importance of Aqueous Metabolites in the Martian Subsurface for Understanding Habitability, Organic Chemical Evolution, and Potential Biology
Jennifer L. Eigenbrode, Luoth Chou
https://arxiv.org/abs/2508.14050

The Importance of Aqueous Metabolites in the Martian Subsurface for Understanding Habitability, Organic Chemical Evolution, and Potential Biology
Aqueous metabolites in terrestrial subsurface environments provide critical analog frameworks for assessing the habitability of Martian subsurface ice. On Earth, they play critical roles in sustaining microbial life within soils, permafrost, and groundwater environments and their availability shape microbial community compositions, activity, and adaptability to changes in environmental conditions, enabling communities to persist over millennial timescales. The counterpart to aqueous-soluble org…

Since the Black Magic HDMI capture card seems to be the only card that reliably captures audio/video I grabbed an HDMI splitter. Works great, hasn't caught fire...two thumbs up so far.
#hdmi #linux #CaptureCard

Analog Over-the-Air Federated Learning with Interference-Based Energy Harvesting
Ahmad Massud Tota Khel, Aissa Ikhlef, Zhiguo Ding, Hongjian Sun
https://arxiv.org/abs/2509.10123

Analog Over-the-Air Federated Learning with Interference-Based Energy Harvesting
We consider analog over-the-air federated learning, where devices harvest energy from in-band and out-band radio frequency signals, with the former also causing co-channel interference (CCI). To mitigate the aggregation error, we propose an effective denoising policy that does not require channel state information (CSI). We also propose an adaptive scheduling algorithm that dynamically adjusts the number of local training epochs based on available energy, enhancing device participation and lear…

Equivariant Fibrations
Pavel S. Gevorgyan
https://arxiv.org/abs/2509.10893 https://arxiv.org/pdf/2509.10893

Equivariant Fibrations
In this paper, we study equivariant Hurewicz fibrations, obtain their internal characteristics, and prove theorems on relationship between equivariant fibrations and fibrations generated by them. Local and global properties of equivariant fibrations are examined. An equivariant analog of the Hurewicz theorem on passing from local fibrations to global fibrations is proved. A classification of equivariant fibrations with the property of uniqueness of a covering path is given.

A supercharacter analog of vanishing-off subgroups and generalized Camina pair
Fahim Sayed
https://arxiv.org/abs/2510.03945 https://arxiv.org/pdf/2510.0394…

A supercharacter analog of vanishing-off subgroups and generalized Camina pair
Vanishing-off subgroups, generalized Camina pair and other related subgroups have played a significant role in the study of group structure. The primary goal of this paper is to study their analogs in the setting of supercharacter theory. We establish several properties of these subgroups which includes connections with supercharacter theory products.

Perfectly-Private Analog Secure Aggregation in Federated Learning
Delio Jaramillo-Velez, Charul Rajput, Ragnar Freij-Hollanti, Camilla Hollanti, Alexandre Graell i Amat
https://arxiv.org/abs/2509.08683

Perfectly-Private Analog Secure Aggregation in Federated Learning
In federated learning, multiple parties train models locally and share their parameters with a central server, which aggregates them to update a global model. To address the risk of exposing sensitive data through local models, secure aggregation via secure multiparty computation has been proposed to enhance privacy. At the same time, perfect privacy can only be achieved by a uniform distribution of the masked local models to be aggregated. This raises a problem when working with real valued da…

Chirality-driven all-optical image differentiation
Stefanos Fr. Koufidis, Zeki Hayran, Francesco Monticone, John B. Pendry, Martin W. McCall
https://arxiv.org/abs/2509.12947 htt…

Chirality-driven all-optical image differentiation
Optical analog computing enables powerful functionalities, including spatial differentiation, image processing, and ultrafast linear operations. Yet, most existing approaches rely on resonant or periodic structures, whose performance is strongly wavelength-dependent, imposing bandwidth limitations and demanding stringent fabrication tolerances. Here, to address some of these challenges, we introduce a highly tunable platform for optical processing, composed of two cascaded uniform slabs exhibit…

How to Incorporate Higher-order Interactions in Analog Ising Machines
Robbe De Prins, Guy Van der Sande, Peter Bienstman, Thomas Van Vaerenbergh
https://arxiv.org/abs/2507.23621

How to Incorporate Higher-order Interactions in Analog Ising Machines
Ising machines (IMs) are specialized devices designed to efficiently solve combinatorial optimization problems. Among such problems, Boolean Satisfiability (SAT) is particularly relevant in industrial applications. To solve SAT problems using IMs, it is crucial to incorporate higher-order interactions. However, in analog IMs, interactions of different orders scale unevenly with the continuous spin amplitudes, introducing imbalances that can significantly degrade performance. We present a numeri…

Phonon Dynamics in Spherically-Curved Analog-Gravity Bose-Einstein Condensates
J. Austin Chunn, Ruotong Zhai, Daniel E. Sheehy
https://arxiv.org/abs/2508.03683 https://

Phonon Dynamics in Spherically-Curved Analog-Gravity Bose-Einstein Condensates
We study the low energy phonon dynamics of a Bose-Einstein condensate (BEC) with a density profile that is equivalent, via a coordinate transformation, to phonons traveling in a \lq\lq spherical\rq\rq\ curved spacetime that realizes the Friedman-Lemaître-Robertson-Walker (FLRW) metric. The metric of this BEC is characterized by its curvature $κ$ and a time-depdendent scale factor $a(t)$, with an increase in the latter corresponding to an expansion of the analog FLRW universe. We study the pro…

Birational zeta functions
Tom Biesbrouck, Nero Budur, Johannes Nicaise, Willem Veys
https://arxiv.org/abs/2509.03352 https://arxiv.org/pdf/2509.03352

Birational zeta functions
We define a birational analog of the motivic zeta function of a reduced polynomial in terms of minimal models. It admits an intrinsic meaning in terms of contact loci of arcs, an analog of a result of Denef and Loeser in the motivic case. We show that for local plane curve singularities the poles of the birational zeta function essentially coincide with the poles of the motivic zeta function.

AnalogSeeker: An Open-source Foundation Language Model for Analog Circuit Design
Zihao Chen, Ji Zhuang, Jinyi Shen, Xiaoyue Ke, Xinyi Yang, Mingjie Zhou, Zhuoyao Du, Xu Yan, Zhouyang Wu, Zhenyu Xu, Jiangli Huang, Li Shang, Xuan Zeng, Fan Yang
https://arxiv.org/abs/2508.10409

AnalogSeeker: An Open-source Foundation Language Model for Analog Circuit Design
In this paper, we propose AnalogSeeker, an effort toward an open-source foundation language model for analog circuit design, with the aim of integrating domain knowledge and giving design assistance. To overcome the scarcity of data in this field, we employ a corpus collection strategy based on the domain knowledge framework of analog circuits. High-quality, accessible textbooks across relevant subfields are systematically curated and cleaned into a textual domain corpus. To address the complex…

The $\theta$-adics
T. M. Gendron, A. Zenteno
https://arxiv.org/abs/2510.01422 https://arxiv.org/pdf/2510.01422

The $θ$-adics
This paper introduces an archimedean, locally Cantor multi-field $\mathcal{O}_θ$ which gives an analog of the $p$-adic number field at a place at infinity of a real quadratic extension $K$ of $\mathbb{Q}$. This analog is defined using a unit $1<θ\in \mathcal{O}_{K}^{\times}$, which plays the same role as the prime $p$ does in $\mathbb{Z}_{p}$; the elements of $\mathcal{O}_θ$ are then greedy Laurent series in the base $θ$. There is a canonical inclusion of the integers $\mathcal{O}_{K}$ with…

Bell Inequality Violations Without Entanglement? It's Just Postselection
Ken Wharton, Huw Price
https://arxiv.org/abs/2508.13431 https://arxiv.org/pdf/…

Bell Inequality Violations Without Entanglement? It's Just Postselection
Recently Wang et al. have reported a violation of a Bell inequality without entanglement [arXiv:2507.07756]. We show that their result is an artifact of postselection. It is well known that postselection may yield Bell inequality violations, both in classical toy models and in real experiments with delayed-choice entanglement-swapping. Here we describe a classical analog of Wang et al.'s experiment, and show that it produces essentially the same results as their quantum version. We explain in d…

Charge Ordering and Magnetic Exchange in the Ladder-Type Compound NH$_4$V$_2$O$_5$
Dm. M. Korotin
https://arxiv.org/abs/2508.13519 https://arxiv.org/pdf/25…

Charge Ordering and Magnetic Exchange in the Ladder-Type Compound NH$_4$V$_2$O$_5$
The low-temperature electronic and magnetic properties of NH$_4$V$_2$O$_5$, an isoelectronic analog of the spin-ladder compound $α'$-NaV$_2$O$_5$, are investigated using DFT+$U$ calculations. Two charge-ordering patterns - zigzag and linear chains of V$^{4+}$/V$^{5+}$ ions - are considered. The zigzag configuration is found to be energetically preferred and exhibits insulating behavior with a band gap of 1.7 eV. In this state, magnetic V$^{4+}$ (d$^1$) ions form antiferromagnetically coupled s…

WIde Separation Planets In Time (WISPIT) - Discovery of a Gap Hα #Protoplanet WISPIT 2b with MagAO-X / A Gap-clearing Planet in a Multi-ringed Disk around the Young Solar-type Star WISPIT 2: https://iopscience.iop.org/article/10.3847/2041-8213/adf7a5 / https://iopscience.iop.org/article/10.3847/2041-8213/adf721 -> A growing baby planet photographed for first time in a ring of darkness / Discovery of the first ring-shaping embedded planet around a young solar analog / A very hungry planet: https://news.arizona.edu/news/growing-baby-planet-photographed-first-time-ring-darkness / https://www.astronomie.nl/nieuws/en/discovery-of-the-first-ring-shaping-embedded-planet-around-a-young-solar-analog-4637 / https://www.eso.org/public/images/potw2534a/

Channel Estimation and Analog Precoding for Pixel-based Fluid-Antenna-Assisted Multiuser MIMO-OFDM Systems
Huayan Guo, Jichen Zhang, Junhui Rao, Ross Murch, Vincent K. N. Lau
https://arxiv.org/abs/2509.09373

Channel Estimation and Analog Precoding for Pixel-based Fluid-Antenna-Assisted Multiuser MIMO-OFDM Systems
Pixel-based fluid antennas provide enhanced multiplexing gains and quicker radiation pattern switching than traditional designs. However, this innovation introduces challenges for channel estimation and analog precoding due to the state-non-separable channel response problem. This paper explores a multiuser MIMO-OFDM system utilizing pixel-based fluid antennas, informed by measurements from a real-world prototype. We present a sparse channel recovery framework for uplink channel sounding, emplo…

HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware
Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Hanjie Liu, Zhengwu Liu, Ngai Wong, Wang Kang
https://arxiv.org/abs/2508.11935

HPD: Hybrid Projection Decomposition for Robust State Space Models on Analog CIM Hardware
State Space Models (SSMs) are efficient alternatives to traditional sequence models, excelling at processing long sequences with lower computational complexity. Their reliance on matrix multiplications makes them ideal for compute-in-memory (CIM) architectures, which improve energy efficiency by computing within memory arrays. However, device non-idealities in CIM introduce weight perturbations that can degrade inference accuracy. In this paper, we systematically analyze the robustness of SSMs …

Analog and Symbolic Computation through the Koopman Framework
Francesco Caravelli, Jean-Charles Delvenne
https://arxiv.org/abs/2510.05863 https://arxiv.org…

Analog and Symbolic Computation through the Koopman Framework
We develop a Koopman operator framework for studying the {computational properties} of dynamical systems. Specifically, we show that the resolvent of the Koopman operator provides a natural abstraction of halting, yielding a ``Koopman halting problem that is recursively enumerable in general. For symbolic systems, such as those defined on Cantor space, this operator formulation captures the reachability between clopen sets, while for equicontinuous systems we prove that the Koopman halting prob…

Circuit realization and hardware linearization of monotone operator equilibrium networks
Thomas Chaffey
https://arxiv.org/abs/2509.13793 https://arxiv.org/…

Circuit realization and hardware linearization of monotone operator equilibrium networks
It is shown that the port behavior of a resistor- diode network corresponds to the solution of a ReLU monotone operator equilibrium network (a neural network in the limit of infinite depth), giving a parsimonious construction of a neural network in analog hardware. We furthermore show that the gradient of such a circuit can be computed directly in hardware, using a procedure we call hardware linearization. This allows the network to be trained in hardware, which we demonstrate with a device-lev…

An analog-electronic implementation of a harmonic oscillator recurrent neural network
Pedro Carvalho, Bernd Ulmann, Wolf Singer, Felix Effenberger
https://arxiv.org/abs/2509.04064

An analog-electronic implementation of a harmonic oscillator recurrent neural network
Oscillatory recurrent networks, such as the Harmonic Oscillator Recurrent Network (HORN) model, offer advantages in parameter efficiency, learning speed, and robustness relative to traditional non-oscillating architectures. Yet, while many implementations of physical neural networks exploiting attractor dynamics have been studied, implementations of oscillatory models in analog-electronic hardware that utilize the networks' transient dynamics so far are lacking. This study explores the feasibil…

Hybrid quantum-classical analog simulation of two-dimensional Fermi-Hubbard models with neutral atoms
Sergi Juli\`a-Farr\'e, Antoine Michel, Christophe Domain, Joseph Mikael, Jacques-Charles Lafoucriere, Joseph Vovrosh, Ahmed Chahlaoui, Dorian Claveau, Guillaume Villaret, Julius de Hond, Lo\"ic Henriet, Antoine Browaeys, Thomas Ayral, Alexandre Dauphin

Hybrid quantum-classical analog simulation of two-dimensional Fermi-Hubbard models with neutral atoms
We experimentally study the two-dimensional Fermi-Hubbard model using a Rydberg-based quantum processing unit in the analog mode. Our approach avoids encoding directly the original fermions into qubits and instead relies on reformulating the original model onto a system of fermions coupled to spins and then decoupling them in a self-consistent manner. We then introduce the auxiliary spin solver: this hybrid quantum-classical algorithm handles a free-fermion problem, which can be solved efficien…

PIC12F683 sample 2H6, after 14 HF etch cycles and a clean.
This sample has now been imaged 30 times, ranging from fresh after decap to the current state, after each etch, after cleaning passes to remove loose debris, and sometimes at both 20x and 100x in the same state.
This sample is now mostly at via1, but there's still upper layer visible in the seal ring and in the analog IPs.
It's now imaging at 100x. Things go slow because a full focus-stacked 100x image is 10…

Application of Machine Learning for Correcting Defect-induced Neuromorphic Circuit Inference Errors
Vedant Sawal, Hiu Yung Wong
https://arxiv.org/abs/2509.11113 https://

Application of Machine Learning for Correcting Defect-induced Neuromorphic Circuit Inference Errors
This paper presents a machine learning-based approach to correct inference errors caused by stuck-at faults in fully analog ReRAM-based neuromorphic circuits. Using a Design-Technology Co-Optimization (DTCO) simulation framework, we model and analyze six spatial defect types-circular, circular-complement, ring, row, column, and checkerboard-across multiple layers of a multi-array neuromorphic architecture. We demonstrate that the proposed correction method, which employs a lightweight neural ne…

Leveraging Analog Neutral Atom Quantum Computers for Diversified Pricing in Hybrid Column Generation Frameworks
C\'edrick Perron, Yves B\'erub\'e-Lauzi\`ere, Victor Drouin-Touchette
https://arxiv.org/abs/2510.04946

Leveraging Analog Neutral Atom Quantum Computers for Diversified Pricing in Hybrid Column Generation Frameworks
In this work, we develop new pulse designs and embedding strategies to improve the analog quantum subroutines of hybrid column generation (CG) algorithms based on neutral-atoms quantum computers (NAQCs). These strategies are designed to improve the quality and diversity of the samples generated. We apply these to an important combinatorial optimization (CO) problem in logistics, namely the fleet assignment. Depending on the instance tested, our quantum protocol has a performance that is either …

Replaced article(s) found for eess.SP. https://arxiv.org/list/eess.SP/new
[1/1]:
- Low-Complexity Memoryless Linearizer for Analog-to-Digital Interfaces
Deijany Rodriguez Linares, H{\aa}kan Johansson

Robust Segmented Analog Broadcast Design to Accelerate Wireless Federated Learning
Chong Zhang, Ben Liang, Min Dong, Ali Afana, Yahia Ahmed
https://arxiv.org/abs/2510.02701 http…

Robust Segmented Analog Broadcast Design to Accelerate Wireless Federated Learning
We consider downlink broadcast design for federated learning (FL) in a wireless network with imperfect channel state information (CSI). Aiming to reduce transmission latency, we propose a segmented analog broadcast (SegAB) scheme, where the parameter server, hosted by a multi-antenna base station, partitions the global model parameter vector into segments and transmits multiple parameters from these segments simultaneously over a common downlink channel. We formulate the SegAB transmission and …

Comprehensive Analysis and Exclusion Hypothesis of $\alpha$-Approximation Method for Discretizing Analog Systems
Shen Chen, Jisong Wang, Dejun Liu, Jiaxi Ying, Shuai Wang
https://arxiv.org/abs/2509.02054

Comprehensive Analysis and Exclusion Hypothesis of $α$-Approximation Method for Discretizing Analog Systems
A popular method for designing digital models is transforming the transfer function of the corresponding analog models from continuous domain (s-domain) into discrete domain (z-domain) using the s-to-z transformation. The alpha-approximation is a generalized form of these transformations. When alpha is set to 0.5, the result is the well-known Tustin transformation or bi-linear transformation. In this paper, we provided a comprehensive analysis of the alpha-approximation method, including mathem…

VCO-CARE: VCO-based Calibration-free Analog Readout for Electrodermal activity sensing
Leidy Mabel Alvero-Gonzalez, Matias Miguez, Eric Gutierrez, Juan Sapriza, Susana Pat\'on, David Atienza, Jos\'e Miranda
https://arxiv.org/abs/2509.06698

VCO-CARE: VCO-based Calibration-free Analog Readout for Electrodermal activity sensing
Continuous monitoring of electrodermal activity (EDA) through wearable devices has attracted much attention in recent times. However, the persistent challenge demands analog front-end (AFE) systems with high sensitivity, low power consumption, and minimal calibration requirements to ensure practical usability in wearable technologies. In response to this challenge, this research introduces VCO-CARE, a Voltage-Controlled Oscillator-based Analog Readout tailored for continuous EDA sensing. The re…

Flight masks of the Roman Space Telescope Coronagraph Instrument
A. J. Eldorado Riggs, Vanessa P. Bailey, Dwight Moody, Kunjithapatham Balasubramanian, Scott A. Basinger, Ruslan Belikov, Eduardo Bendek, John Debes, Brandon D. Dube, Jessica Gersh-Range, Tyler D. Groff, N. Jeremy Kasdin, Bertrand Mennesson, Brian Monacelli, Douglas M. Moore, Garreth Ruane, Jagmit Sandhu, Fang Shi, Erkin Sidick, Nicholas Siegler, Dan Sirbu, John Trauger, Carey L. Weisberg, Victor E. White, Daniel W. Wilso…

Flight masks of the Roman Space Telescope Coronagraph Instrument
Over the past two decades, thousands of confirmed exoplanets have been detected. The next major challenge is to characterize these other worlds and their stellar systems. Much information on the composition and formation of exoplanets and circumstellar debris disks can only be achieved via direct imaging. Direct imaging is challenging because of the small angular separations (< 1 arcsec) and high star-to-planet flux ratios such as ~1e9 for a Jupiter analog or ~1e10 for an Earth analog in the vi…

Trapping an Atomic Ion without Dedicated Digital-to-analog Converters
Ryutaro Ohira, Masanari Miyamoto, Shinichi Morisaka, Ippei Nakamura, Atsushi Noguchi, Utako Tanaka, Takefumi Miyoshi
https://arxiv.org/abs/2508.04093

Trapping an Atomic Ion without Dedicated Digital-to-analog Converters
Independent control of numerous electrodes in quantum charge-coupled device architectures presents a significant challenge for wiring and hardware scalability. To address this issue, we demonstrate a voltage control method based on time-division multiplexing (TDM). This approach utilizes a single high-update-rate digital-to-analog converter (DAC) to sequentially generate control signals for multiple electrodes, thereby reducing both the number of required DACs and associated wiring. We experime…

RAG for Geoscience: What We Expect, Gaps and Opportunities
Runlong Yu, Shiyuan Luo, Rahul Ghosh, Lingyao Li, Yiqun Xie, Xiaowei Jia
https://arxiv.org/abs/2508.11246 https://

RAG for Geoscience: What We Expect, Gaps and Opportunities
Retrieval-Augmented Generation (RAG) enhances language models by combining retrieval with generation. However, its current workflow remains largely text-centric, limiting its applicability in geoscience. Many geoscientific tasks are inherently evidence-hungry. Typical examples involve imputing missing observations using analog scenes, retrieving equations and parameters to calibrate models, geolocating field photos based on visual cues, or surfacing historical case studies to support policy ana…

Liquid-gas analog multicriticality in a frustrated Ising bilayer
Yuchen Fan
https://arxiv.org/abs/2510.05655 https://arxiv.org/pdf/2510.05655

Liquid-gas analog multicriticality in a frustrated Ising bilayer
We report the discovery of a multicritical point that extends the liquid-gas paradigm to systems with competing symmetry-breaking orders. Using large-scale Monte Carlo simulations of a frustrated bilayer Ising antiferromagnet with tunable couplings, we map out a rich finite-temperature phase diagram hosting three ordered phases separated by both continuous and first-order transitions. By tuning the couplings, a tricritical line and a critical end-point line converge into a single multicritical …

PIC12F683 full die image after wet chemical delayer to (approximately) polysilicon layer. There's a few areas in the right and bottom right that are overetched to substrate and a few spots in the analog and power rings that still have some M1 and even M2 remaining.
These are both full resolution scans with 20x/0.42 and 100x/0.90 objectives.
It's interesting to note how some features (most notably the silicon substrate in the overetched areas) are *more* visible in the low…

Learning Minimal Representations of Many-Body Physics from Snapshots of a Quantum Simulator
Frederik M{\o}ller, Gabriel Fern\'andez-Fern\'andez, Thomas Schweigler, Paulin de Schoulepnikoff, J\"org Schmiedmayer, Gorka Mu\~noz-Gil
https://arxiv.org/abs/2509.13821

Learning Minimal Representations of Many-Body Physics from Snapshots of a Quantum Simulator
Analog quantum simulators provide access to many-body dynamics beyond the reach of classical computation. However, extracting physical insights from experimental data is often hindered by measurement noise, limited observables, and incomplete knowledge of the underlying microscopic model. Here, we develop a machine learning approach based on a variational autoencoder (VAE) to analyze interference measurements of tunnel-coupled one-dimensional Bose gases, which realize the sine-Gordon quantum fi…

Enabling low-power massive MIMO with ternary ADCs for AIoT sensing
Shengheng Liu, Ningning Fu
https://arxiv.org/abs/2508.11234 https://arxiv.org/pdf/2508.1…

Enabling low-power massive MIMO with ternary ADCs for AIoT sensing
The proliferation of networked devices and the surging demand for ubiquitous intelligence have given rise to the artificial intelligence of things (AIoT). However, the utilization of high-resolution analog-to-digital converters (ADCs) and numerous radio frequency chains significantly raises power consumption. This paper explores a cost-effective solution using ternary ADCs (T-ADCs) in massive multiple-input-multiple-output (MIMO) systems for low-power AIoT and specifically addresses channel sen…

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
https://arxiv.org/abs/2508.19393

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Analog subcircuit identification is a core task in analog design, essential for simulation, sizing, and layout. Traditional methods often require extensive human expertise, rule-based encoding, or large labeled datasets. To address these challenges, we propose GENIE-ASI, the first training-free, large language model (LLM)-based methodology for analog subcircuit identification. GENIE-ASI operates in two phases: it first uses in-context learning to derive natural language instructions from a few …

Difference-Based Recovery for Modulo Sampling: Tightened Bounds and Robustness Guarantees
Wenyi Yan, Zeyuan Li, Lu Gan, Honqing Liu, Guoquan Li
https://arxiv.org/abs/2509.12971 …

Difference-Based Recovery for Modulo Sampling: Tightened Bounds and Robustness Guarantees
Conventional analog-to-digital converters (ADCs) clip when signals exceed their input range. Modulo (unlimited) sampling overcomes this limitation by folding the signal before digitization, but existing recovery methods are either computationally intensive or constrained by loose oversampling bounds that demand high sampling rates. In addition, none account for sampling jitter, which is unavoidable in practice. This paper revisits difference-based recovery and establishes new theoretical and pr…

Crosslisted article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Extending Straight-Through Estimation for Robust Neural Networks on Analog CIM Hardware
Yuannuo Feng, Wenyong Zhou, Yuexi Lyu, Yixiang Zhang, Zhengwu Liu, Ngai Wong, Wang Kang

Low-complexity CV-QKD system with optical pilot-tone local oscillator synchronization
Samael Sarmiento, Jeison Tabares, Sebastian Etcheverry
https://arxiv.org/abs/2509.12735 htt…

Low-complexity CV-QKD system with optical pilot-tone local oscillator synchronization
This study presents a comprehensive simulation-based analysis of optical pilot tone generation for local oscillator synchronization in continuous-variable quantum key distribution (CV-QKD) systems using Gaussian-modulated (GM) coherent states. We compare system performance when the pilot tone is generated either electrically or optically, examining the effects of key parameters such as pilot tone power, laser linewidth, digital-to-analog converter resolution, and link distance. The results prov…

Radio Frequency Amplitude-Modulation to Frequency-Modulation Signal Converter
Rishab Parthasarathy, Michael Popik, Noah Haefner
https://arxiv.org/abs/2509.11510 https://

Radio Frequency Amplitude-Modulation to Frequency-Modulation Signal Converter
In this project, we wanted to discover an analog topology that could effectively convert amplitude-modulated (AM) signals to frequency-modulated (FM) signals, while also ensuring that both sets of signals were within their respective radio frequency (RF) bands. To that end, an effective topology for doing so was developed, characterized, and demonstrated, requiring the ability to de-modulate incoming signals from the AM radio band--spanning from 530 kHz to 1700 kHz--and re-modulate these signal…

Solving Markov Chains with Analog Quantum Computing: The Fine Print
Ward van der Schoot, Niels M. P. Neumann
https://arxiv.org/abs/2508.02199 https://arxiv…

Solving Markov Chains with Analog Quantum Computing: The Fine Print
With a growing interest in quantum computing, the number of proposed quantum algorithms grows as well. The practical applicability of these algorithms differs: Some can be applied out-of-the-box, while others require black box oracles, which can not always be easily implemented. One of the first works to explicitly discuss these practical applicability aspects is by Aaronson discussing the \textit{fine print} of the HHL quantum algorithm that solves linear systems of equations. We extend this l…

Universal Dynamics with Globally Controlled Analog Quantum Simulators
Hong-Ye Hu, Abigail McClain Gomez, Liyuan Chen, Aaron Trowbridge, Andy J. Goldschmidt, Zachary Manchester, Frederic T. Chong, Arthur Jaffe, Susanne F. Yelin
https://arxiv.org/abs/2508.19075

Universal Dynamics with Globally Controlled Analog Quantum Simulators
Analog quantum simulators with global control fields have emerged as powerful platforms for exploring complex quantum phenomena. Recent breakthroughs, such as the coherent control of thousands of atoms, highlight the growing potential for quantum applications at scale. Despite these advances, a fundamental theoretical question remains unresolved: to what extent can such systems realize universal quantum dynamics under global control? Here we establish a necessary and sufficient condition for un…

A 28nm 1.80Mb/mm2 Digital/Analog Hybrid SRAM-CIM Macro Using 2D-Weighted Capacitor Array for Complex Number Mac Operations
Shota Konno, Che-Kai Liu, Sigang Ryu, Samuel Spetalnick, Arijit Raychowdhury
https://arxiv.org/abs/2508.17562

A 28nm 1.80Mb/mm2 Digital/Analog Hybrid SRAM-CIM Macro Using 2D-Weighted Capacitor Array for Complex Number Mac Operations
A 28nm dense 6T-SRAM Digital(D)/Analog(A) Hybrid compute-in-memory (CIM) macro supporting complex num-ber MAC operation is presented. By introducing a 2D-weighted Capacitor Array, a hybrid configuration is adopted where digital CIM is applied only to the upper bits and ana-log CIM is applied to the rest, without the need for input DACs resulting in improved accuracy and lower area overhead. The CIM prototype macro achieves 1.80 Mb/mm2 memory density and 0.435% RMS error. Complex CIM unit output…

Real-time analog circuit for auto-correlative weak-value amplification in the time domain
Jing-Hui Huang, Guang-Jun Wang, Xiang-Yun Hu
https://arxiv.org/abs/2507.18180 https://

Real-time analog circuit for auto-correlative weak-value amplification in the time domain
The auto-correlative weak-value amplification (AWVA) technique demonstrates distinct advantages over standard weak-value amplification (SWVA) for quantum parameter estimation. To achieve enhanced precision in real-time parameter estimation, the AWVA requires additional resources compared to SWVA, namely real-time multiplication and integrator modules. We implemented a real-time analog circuit for AWVA using an AD835 multiplier and an NE5532 operational amplifier for the integrator. The circuit …

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- Efficient transformer adaptation for analog in-memory computing via low-rank adapters
Chen Li, Elena Ferro, Corey Lammie, Manuel Le Gallo, Irem Boybat, Bipin Rajendran