Tootfinder

Robust NbN on Si-SiGe hybrid superconducting-semiconducting microwave quantum circuit
Paniz Foshat, Samane Kalhor, Shima Poorgholam-khanjari, Douglas Paul, Martin Weides, Kaveh Delfanazari
https://arxiv.org/abs/2509.26363

Robust NbN on Si-SiGe hybrid superconducting-semiconducting microwave quantum circuit
Advancing large-scale quantum computing requires superconducting circuits that combine long coherence times with compatibility with semiconductor technology. We investigate niobium nitride (NbN) coplanar waveguide resonators integrated with Si/SiGe quantum wells, creating a hybrid platform designed for CMOS-compatible quantum hardware. Using temperature-dependent microwave spectroscopy in the single-photon regime, we examine resonance frequency and quality factor variations to probe the underly…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Supersuckers:
🎵 Good Livin'
#Supersuckers
https://open.spotify.com/track/1cZ19dbcwmKiuQBbb724D1

Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events
Richeek Das, Kostas Daniilidis, Pratik Chaudhari
https://arxiv.org/abs/2509.25146 https://

Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events
This paper develops a mathematical argument and algorithms for building representations of data from event-based cameras, that we call Fast Feature Field ($\text{F}^3$). We learn this representation by predicting future events from past events and show that it preserves scene structure and motion information. $\text{F}^3$ exploits the sparsity of event data and is robust to noise and variations in event rates. It can be computed efficiently using ideas from multi-resolution hash encoding and de…

Transformer-Based Rate Prediction for Multi-Band Cellular Handsets
Ruibin Chen, Haozhe Lei, Hao Guo, Marco Mezzavilla, Hitesh Poddar, Tomoki Yoshimura, Sundeep Rangan
https://arxiv.org/abs/2509.25722

Transformer-Based Rate Prediction for Multi-Band Cellular Handsets
Cellular wireless systems are witnessing the proliferation of frequency bands over a wide spectrum, particularly with the expansion of new bands in FR3. These bands must be supported in user equipment (UE) handsets with multiple antennas in a constrained form factor. Rapid variations in channel quality across the bands from motion and hand blockage, limited field-of-view of antennas, and hardware and power-constrained measurement sparsity pose significant challenges to reliable multi-band chann…

What causes the variation in superconducting properties of UTe$_{2}$?
C. S. Kengle, Noah Schnitzer, M. M. Bordelon, S. M. Thomas, P. F. S. Rosa
https://arxiv.org/abs/2509.20298 …

What causes the variation in superconducting properties of UTe$_{2}$?
Reaching a consensus on the superconducting order parameter of unconventional superconductors remains a central challenge in the field of magnetically-mediated superconductivity. Though UTe$_{2}$ is largely accepted as a rare example of an odd-parity superconductor, its precise order parameter remains highly debated, even at ambient conditions. A key underlying issue is the large sample-to-sample variation in superconducting properties at zero applied pressure and magnetic field. Here, we inves…

A Hierarchical Variational Graph Fused Lasso for Recovering Relative Rates in Spatial Compositional Data
Joaquim Valerio Teixeira, Ed Reznik, Sudpito Banerjee, Wesley Tansey
https://arxiv.org/abs/2509.20636

A Hierarchical Variational Graph Fused Lasso for Recovering Relative Rates in Spatial Compositional Data
The analysis of spatial data from biological imaging technology, such as imaging mass spectrometry (IMS) or imaging mass cytometry (IMC), is challenging because of a competitive sampling process which convolves signals from molecules in a single pixel. To address this, we develop a scalable Bayesian framework that leverages natural sparsity in spatial signal patterns to recover relative rates for each molecule across the entire image. Our method relies on the use of a heavy-tailed variant of th…

Competing $s$-wave pairing in overdoped $t$-$J$ model
Wayne Zheng, Tao Cheng, Zheng-Yuan Yue, Fu-Chun Zhang, Wei-Qiang Chen, Zheng-Cheng Gu
https://arxiv.org/abs/2509.22473 http…

Competing $s$-wave pairing in overdoped $t$-$J$ model
The $d$-wave pairing symmetry has long been considered a defining feature of high-temperature superconductivity in cuprates. In this work, we reveal that $s$-wave pairing states exhibit variational energies comparable to the $d$-wave state in a square $t$-$J$ model, particularly at high doping levels ($δ\gtrsim 15\%$) by using the state-of-the-art tensor network simulation. This surprising result suggests that $s$-wave pairing may play an important role in the cuprate phase diagram, especially…

Systematic Study of Amorphous ABC Heterostructures at the Atomic Scale as a Nonlinear Optical Metamaterial
Martin Mi\v{c}ulka, Jinsong Liu, Sebastian Beer, Raihan Rafi, Denys Sevriukov, Sergiy Yulin, Vladimir Roddatis, Stefan Nolte, Isabelle Staude, Andreas T\"unnermann, Sven Schr\"oder, Adriana Szeghalmi
https://arxiv.org/abs/25…

Systematic Study of Amorphous ABC Heterostructures at the Atomic Scale as a Nonlinear Optical Metamaterial
The systematic exploration of ABC type heterostructures reveals that nanoscale morphological modification markedly improves nonlinear optical properties to maximize the artificial bulk second-order susceptibility. These amorphous birefringent heterostructures are fabricated through cyclic plasma-enhanced atomic layer deposition of three oxides, effectively breaking centrosymmetry. We observe a dependence of optical nonlinearity on the thickness variation of three constituent materials: SiO$_2$ …

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Beach House:
🎵 Superstar
#BeachHouse
https://beachhouse.bandcamp.com/track/superstar
https://open.spotify.com/track/44obpoVitShBIkr4e9N5W8

🇺🇦 #NowPlaying on KEXP's #VarietyMix
TC Superstar:
🎵 Into You
#TCSuperstar
https://tcsuperstar.bandcamp.com/track/into-you
https://open.spotify.com/track/3EW3fvwnGoVvLPgAPFqaMJ