Tootfinder

This https://arxiv.org/abs/2412.17780 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
We present PepTune, a multi-objective discrete diffusion model for simultaneous generation and optimization of therapeutic peptide SMILES. Built on the Masked Discrete Language Model (MDLM) framework, PepTune ensures valid peptide structures with a novel bond-dependent masking schedule and invalid loss function. To guide the diffusion process, we introduce Monte Carlo Tree Guidance (MCTG), an inference-time multi-objective guidance algorithm that balances exploration and exploitation to iterati…

An entangled photon source for the telecom C-band based on a semiconductor-confined spin
Petros Laccotripes, Junyang Huang, Ginny Shooter, Andrea Barbiero, Matthew S. Winnel, David A. Ritchie, Andrew J. Shields, Tina Muller, R. Mark Stevenson
https://arxiv.org/abs/2507.01648

An entangled photon source for the telecom C-band based on a semiconductor-confined spin
Multiphoton entangled states are a key resource for quantum networks and measurement-based quantum computation. Scalable protocols for generating such states using solid-state spin-photon interfaces have recently emerged, but practical implementations have so far relied on emitters operating at short wavelengths, incompatible with low-loss fibre transmission. Here, we take a key step towards the generation of telecom wavelength multi-qubit entangled states using an InAs/InP quantum dot. After e…

Estimating Technical Loss without Power Flows: A Practical, Data-Driven Approach for Loss Estimation in Distribution Grids
Mohini Bariya, Genevieve Flaspohler
https://arxiv.org/abs/2506.21311

Estimating Technical Loss without Power Flows: A Practical, Data-Driven Approach for Loss Estimation in Distribution Grids
Electric grids in low- and middle-income countries (LMICs) across the world face an acute challenge. To support global decarbonisation efforts and raise millions from energy poverty, these grids must shoulder substantial load growth while integrating distributed renewable generation. However, decades of rapid and poorly funded infrastructure expansions have led to national grids in many LMICs that are strained and weak, composed of aging, faulty, and undersized infrastructure. A cause and sympt…

Efficient Interleaved Speech Modeling through Knowledge Distillation
Mohammadmahdi Nouriborji, Morteza Rohanian
https://arxiv.org/abs/2506.23670 https://…

Efficient Interleaved Speech Modeling through Knowledge Distillation
Current speech language models exceed the size and latency constraints of many deployment environments. We build compact, expressive speech generation models through layer-aligned distillation, matching hidden states, attention maps, and softened logits to compress large multimodal transformers by 3x with minimal loss in performance. We introduce TinyWave, a family of 2B-parameter models for speech-to-speech and interleaved speech-text generation, trained on 50,000 hours of public audio. TinyWa…

FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction
Qiqing Liu, Guoquan Wei, Zekun Zhou, Yiyang Wen, Liu Shi, Qiegen Liu
https://arxiv.org/abs/2506.23466

FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction
Low-dose computed tomography (LDCT) reduces radiation exposure but suffers from image artifacts and loss of detail due to quantum and electronic noise, potentially impacting diagnostic accuracy. Transformer combined with diffusion models has been a promising approach for image generation. Nevertheless, existing methods exhibit limitations in preserving finegrained image details. To address this issue, frequency domain-directed diffusion transformer (FD-DiT) is proposed for LDCT reconstruction. …

"Cutting funding for science research will have far-reaching consequences" - "We are on the precipice of losing an entire generation of scientists."- InForum | #Fargo #NorthDakota

Letter: Cutting funding for science research will have far-reaching consequences
"The loss of these training programs harms the students of North Dakota - they are losing opportunities to explore possible careers as scientists. We are on the precipice of losing an entire generation of scientists," writes Jenni Momsen of Fargo.

Robust Tripartite Entanglement Generation via Correlated Noise in Spin Qubits
Sander Driessen, Ji Zou, Even Thingstad, Jelena Klinovaja, Daniel Loss
https://arxiv.org/abs/2506.20466

Robust Tripartite Entanglement Generation via Correlated Noise in Spin Qubits
We investigate the generation of genuine tripartite entanglement in a triangular spin-qubit system due to spatially correlated noise. In particular, we demonstrate how the formation of a highly entangled dark state -- a W state -- enables robust, long-lived tripartite entanglement. Surprisingly, we find that environmentally induced coherent coupling does not play a crucial role in sustaining this entanglement. This contrasts sharply with the two-qubit case, where the induced coupling significan…

Full-body WPT: wireless powering with meandered e-textiles
Ryo Takahashi, Takashi Sato, Wakako Yukita, Tomoyuki Yokota, Takao Someya, Yoshihiro Kawahara
https://arxiv.org/abs/2506.17606

Full-body WPT: wireless powering with meandered e-textiles
We present Full-body WPT, wireless power networking around the human body using a meandered textile coil. Unlike traditional inductive systems that emit strong fields into the deep tissue inside the body, the meander coil enables localized generation of strong magnetic field constrained to the skin surface, even when scaled to the size of the human body. Such localized inductive system enhances both safety and efficiency of wireless power around the body. Furthermore, the use of low-loss conduc…

Silicon Nitride Microresonator Raman Lasers
Yi Zheng, Haoyang Tan, Andreas Jacobsen, Yang Liu, Chaochao Ye, Yanjing Zhao, Cheng Xiang, Kresten Yvind, Minhao Pu
https://arxiv.org/abs/2506.12658

Silicon Nitride Microresonator Raman Lasers
Silicon nitride (SiN) has emerged as a promising platform for integrated nonlinear photonics because of its low propagation loss, wide transparency window, and CMOS compatibility. Nonlinear processes arising from photon-electron interactions, such as Kerr frequency comb generation and second harmonic generation, have been extensively explored. In contrast, photon-phonon interaction-based nonlinearities, such as stimulated Raman scattering, remain largely unexplored in this integrated platform, …

GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
Qifei Cui, Xinyu Lu
https://arxiv.org/abs/2506.21245 https://

GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
This work introduces a novel framework for brain tumor segmentation leveraging pre-trained GANs and Unet architectures. By combining a global anomaly detection module with a refined mask generation network, the proposed model accurately identifies tumor-sensitive regions and iteratively enhances segmentation precision using adversarial loss constraints. Multi-modal MRI data and synthetic image augmentation are employed to improve robustness and address the challenge of limited annotated dataset…

Power Domain Sparse Dimensional Constellation Multiple Access (PD-SDCMA) for Enabled Flexible PONs
Yuhao Lian, Xiao Han, Xinmao Deng
https://arxiv.org/abs/2506.08053

Power Domain Sparse Dimensional Constellation Multiple Access (PD-SDCMA) for Enabled Flexible PONs
With the commercial deployment of 5G and the in-depth research of 6G, the demand for high-speed data services in the next-generation fiber optic access systems is growing increasingly. Passive optical networks (PONs) have become a research hotspot due to their characteristics of low loss, high bandwidth, and low cost. However, the traditional orthogonal multiple access (OMA-PON) has difficulty meeting the requirements of the next-generation PON for high spectral efficiency and flexibility. In t…

This https://arxiv.org/abs/2504.04178 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
Large language models (LLMs), known for their comprehension capabilities and extensive knowledge, have been increasingly applied to recommendation systems (RS). Given the fundamental gap between the mechanism of LLMs and the requirement of RS, researchers have focused on fine-tuning LLMs with recommendation-specific data to enhance their performance. Language Modeling Loss (LML), originally designed for language generation tasks, is commonly adopted. However, we identify two critical limitation…

This https://arxiv.org/abs/2406.12417 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Fees in AMMs: A quantitative study
In the ever evolving landscape of decentralized finance automated market makers (AMMs) play a key role: they provide a market place for trading assets in a decentralized manner. For so-called bluechip pairs, arbitrage activity provides a major part of the revenue generation of AMMs but also a major source of loss due to the so-called 'informed orderflow'. Finding ways to minimize those losses while still keeping uninformed trading activity alive is a major problem in the field. In this paper we…

Kerr nonlinearity, self-injection locking and correlation in a microresonator
Andrey Matsko, Abdelkrim El Amili, Lute Maleki
https://arxiv.org/abs/2506.09243

Kerr nonlinearity, self-injection locking and correlation in a microresonator
Production of entangled photon pairs is important in secure communication systems, quantum computing, and fundamental physics experiments. Achieving efficient generation of such photon pairs with low-loss parametric oscillators is a key objective in advancing integrated quantum technologies. However, spatially separating the generated photons while preserving their entanglement represents a significant technical challenge. In this work, we demonstrate nonlinear generation of correlated optical …

This https://arxiv.org/abs/2404.03976 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

A theoretical framework for fees in AMMs
In the ever evolving landscape of decentralized finance automated market makers (AMMs) play a key role: they provide a market place for trading assets in a decentralized manner. For so-called bluechip pairs, arbitrage activity provides a major part of the revenue generation of AMMs but also a major source of loss due to the so-called informed orderflow. Finding ways to minimize those losses while still keeping uninformed trading activity alive is a major problem in the field. In this paper we w…