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6 papers in the last four weeks, up 50% on the four weeks before. 0.1% of all new papers.

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Latest papers 36

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Sequential Capacity of Quantum Processes with Finite Memory
Oct 1, 2026Yibin WangQuantum Processor Single-Photon Avalanche Diode
Graduate School of Mathematics, Nagoya University, Nagoya, 464-8601, Aichi, Japan.
Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems
Oct 1, 2026Lulu Gong, Yongxu Zhang, Shreya SaxenaNeural Dynamics Timescale
Center for Neurocomputation and Machine Intelligence, Wu Tsai Institute, Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA
Learning Multiple Timescales for Goal-Conditioned Reinforcement Learning
Oct 1, 2026Pedro Robles Dutenhefner, Dikshant Shehmar, Wagner Meira +1Goal-Conditioned Reinforcement Learning Timescale
Universidade Federal de Minas Gerais · University of Alberta · Alberta Machine Intelligence Institute (Amii) +1
NeurDuo-EEG: A Long-Sequence EEG Foundation Model with Persistent State and Explicit Memory
Sep 29, 2026Yifan Wang, Haiping Liu, Yang Cui +13Electroencephalography Foundation Models Electroencephalography
University of Manchester · ETH Zürich · Shanghai Jiao Tong University +5
A Concentration Bound for Two-Timescale Actor-Critic Algorithm
Sep 24, 2026Prashansa Panda, Shalabh BhatnagarSoft Actor-Critic Finite Time Analysis
Department of Computer Science and Automation IISc Bangalore
Beyond Quadratic Loss: The Stability Phase Diagram of Adam
Sep 16, 2026Gaoxiang Tang, Huanran Chen, Ziming LiuAdam Anisotropic Loss Landscapes
IIIS, Tsinghua University · College AI, Tsinghua University · Shanghai Qizhi Institute +1
The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow
Sep 1, 2026Raphaël BerthierGradient Descent Gradient
Sorbonne Université, Inria, Centre Inria de Sorbonne Université, Paris, France
It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning
Aug 26, 2026Liam P. H. Mertens, Lucas N. Alegre, Florent Delgrange +3Multi-Objective Reinforcement Learning Successor Representations
AI Lab, Vrije Universiteit Brussel, Belgium · Institute of Informatics - Federal University of Rio Grande do Sul · Federation University Australia
Meteorology-driven Causal Nowcasting of Fugitive Landfill Emissions from Measured Coupling Timescales
Aug 14, 2026Timothy C. Pearce, David J. T. Smith, Alec Dobney +1Atmospheric Dynamics Precipitation Nowcasting
Biomedical Engineering Research Group, School of Engineering, University of Leicester, Leicester, United Kingdom. · Environmental Hazards and Emergency Department, UKHSA, Nottingham, United Kingdom.
Stochastic Emulation of a Fully Coupled Preindustrial E3SMv3 Simulation
Aug 10, 2026Elynn Wu, James P. C. Duncan, Troy Arcomano +11Global Climate Models Atmospheric Dynamics
Allen Institute for Artificial Intelligence (Ai2), Seattle, WA, USA · Pacific Northwest National Laboratory, Richland, WA, USA · Los Alamos National Laboratory, Los Alamos, NM, USA +2
Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning
Aug 8, 2026Yifu Huo, Shunjie Xing, Chenglong Wang +8Agentic Reinforcement Learning Credit Assignment
School of Computer Science and Engineering, Northeastern University, Shenyang, China · School of Computer Science · 2NiuTrans Research, Shenyang, China +1
Tools to Explain Neural Networks for Power System Dynamics
Aug 8, 2026Petros Ellinas, Johanna Vorwerk, Spyros ChatzivasileiadisNeural Dynamics Machine Learning Surrogates
Department of Wind and Energy Systems, Technical University of Denmark, Lyngby, Denmark
Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning
Aug 3, 2026Ankur Naskar, Vivek T A, Aditya Kumar +2Distributional Reinforcement Learning Finite Time Analysis
Indian Institute of Science, Bengaluru, India · Indian Institute of Technology Madras, Chennai, India
The Label Defines the Timescale: Trait-State Limits of Temporal-Aggregate Learning
Aug 3, 2026Xizhe ZhangTimescale Training Time
Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation
Aug 2, 2026Ruoyan Li, Wei Wang, Yizhou SunLagrangian Methods Fluid Dynamics
University of California, Los Angeles
Lindblad-Inspired Multi-Timescale Reservoir Computing with Separable Rotation and Dissipation
Jul 27, 2026Jyotiranjan Beuria, Amit ShuklaReservoir Computing Reservoir
Greedy dynamical meta-learning
Jul 27, 2026Aria YomMeta-Learning Gradient-Based Optimization
Rhodora
Persistent Sparse Autoencoders: Learning Feature-Specific Timescales in Language Model Representations
Jul 19, 2026Haoyan Luo, Mateo Espinosa Zarlenga, Mateja JamnikImproving Sparse Autoencoders Future Latent Representations
University of Cambridge · University of Oxford
On the Necessity of a Liquid Substrate for Mesh Intelligence
Jun 25, 2026Hongwei XuTimescale Self-Evolution
Learning Adaptive Dynamical Features via Multi- $τ$ Liquid-Mamba for All-in-one Image Restoration
Jun 22, 2026Hu Gao, Changshuo Wang, Yulong Chen +1Image Restoration Mamba-Based Models
Department of Computer Science, Shanghai Jiao Tong University, Shanghai 200240, China · Department of Architecture and Design, Harbin Institute of Technology, Heilongjiang, China
ReLaTS: a Reinforcement Learning-based method for dynamically determining the coupling Time Step in multi-scale simulations of self-gravitating systems
Jun 18, 2026Veronica Saz Ulibarrena, Simon Portegies ZwartTimescale Near-Earth Objects
Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands
The Weight Norm Sets the Grokking Timescale: A Causal Delay Law
Jun 11, 2026Truong Xuan Khanh, Doan Hoang Viet, Luu Duc Trung +1Grokking Weight Decay
H&K Research Studio / Clevix LLC, Hanoi, Vietnam · Bac A Bank, Hanoi · Banking Academy of Vietnam
Multi-Rate Mixture of Experts for Accelerating Liquid Neural Network Training
Jun 10, 2026Shilong Zong, Almuatazbellah Boker, Hoda EldardiryMultivariate Time-Series Temporal Attention
Department of Computer Science, Virginia Tech Blacksburg, VA 24061 USA · Department of Electrical and Computer Engineering, Virginia Tech Blacksburg, VA 24061 USA
The Dynamics of Human and AI-Generated Language: How Semantics Fluctuates across Different Timescales
Jun 9, 2026Han-Jen Chang, Yasir Çatal, Angelika Wolman +5Speech Language Models Human-Written Text
Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning
May 29, 2026Vagul Mahadevan, Claire Chen, Shuze Daniel Liu +1Stochastic Approximation Temporal Difference
Metron, Reston, VA, USA · Division Office Physics, Math and Astronomy, California Institute of Technology, Pasadena, CA, USA · Data Science Lab, MIT, Cambridge, MA, USA +2
Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
May 28, 2026Tim Woydt, Paul-David ZuercherOptimal Policies Thompson Sampling
ProdAxon · Department of Computer Science Technical University Darmstadt · Institute for Manufacturing Department of Engineering University of Cambridge
PACE: Two-Timescale Self-Evolution for Small Language Model Agents
May 21, 2026Chen Ling, Pei Chen, Albert Guan +4Self-Evolution Large Language Model Agents
Amazon
Adynamical systems view of training generativemodels and the memorization phenomenon
May 19, 2026Siva Athreya, Chiranjib Bhattacharya, Vivek S. BorkarStochastic Gradient Descent Memorization
International Institute for Theoretical Sciences, Survey No. 151, Hesarghatta Road, Shivakote Hobli, Bengaluru 560089, India · Department of Computer Science and Automation, Indian Institute of Science, Bengaluru 560012, India · Department of Electrical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning
May 16, 2026Vivienne Huiling Wang, Tinghuai Wang, Joni PajarinenHierarchical Reinforcement Learning Low-Latency Latent Planning
Department of Electrical Engineering and Automation, Aalto University, Finland · Qutwo, Finland
Stellar Age Compression Reshapes Interpretations of the Milky Way Thick-Disk Formation History
May 11, 2026Zhipeng ZhangAstronomical Images Timescale
China Mobile Research Institute, Beijing 100053, China · China Mobile GBA (Greater Bay Area) Innovation Institute, Guangzhou 510656, China
FRACTAL: SSM with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
May 9, 2026Mengqi Li, Wensheng Lin, Jinshuai Yang +1State Space Models Sequence Modeling
School of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi, China. · DecoreX Intelligent Technologies Co., Ltd., Xi’an 710075 China.
Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics
May 6, 2026Andreas Pattichis, Constantine DovrolisLong-Term Memory Synaptic Plasticity
The Cyprus Institute, Nicosia, Cyprus · School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA.
Stable but Wrong: An Inference Limit in Galactic Archaeology
Apr 30, 2026Zhipeng ZhangAstronomical Images Statistical Inference
China Mobile Research Institute, Beijing 100053, China · China Mobile GBA (Greater Bay Area) Innovation Institute, Guangzhou 510656, China
Impact of leaky dynamics on predictive path integration accuracy in recurrent neural networks
Apr 17, 2026Yanlin Zhang, Yan Zhang, Muhua Zheng +1Lfsr-Based Stochastic Leaky Integrate-And-Fire Neuron Recurrent Neural Networks
School of physics and Electronic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China · Teaching Department, Jiangsu University Jingjiang College, Zhenjiang 212028, Jiangsu, China
Random matrix theory of sparse neuronal networks with heterogeneous timescales
Dec 14, 2025Thiparat Chotibut, Oleg Evnin, Weerawit HorinouchiNeural Circuits Synaptic Plasticity
Chula Intelligent and Complex Systems, Department of Physics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand · High Energy Physics Research Unit, Faculty of Science, Chulalongkorn University, Bangkok, Thailand · Theoretische Natuurkunde, Vrije Universiteit Brussel (VUB) and International Solvay Institutes, Brussels, Belgium +2
ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks
Feb 26, 2024Laura Kriener, Ben von Hünerbein, Kristin Spicher +5Synaptic Plasticity Recurrent Neural Networks
Department of Physiology, University of Bern, 3012 Bern, Switzerland. · Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. · Catlab Engineering GmbH, 82284 Grafrath, Germany.

Oct 1, 2026, quant-phJ/K move · Enter open · S save

Sequential Capacity of Quantum Processes with Finite Memory

Yibin Wang

Graduate School of Mathematics, Nagoya University, Nagoya, 464-8601, Aichi, Japan.

Quantum Processor Single-Photon Avalanche Diode Sequential Capacity Timescale

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How complex can the responses of a quantum device become as it runs longer with a fixed internal memory? We quantify this complexity through sequential response capacity: how many adaptive testing stages, each using a fresh run, can continue to separate possible processes by a prescribed gap in response probabilities. For fixed system and memory sizes, we establish a tight law relating this capacity to run length and probability resolution. At fixed resolution, the capacity grows on the order of

K\log K

, where

K

is the number of time steps in each run. Our construction attains this growth using time-dependent phase rotations on a single visible qubit with no additional internal memory; its tests give response probabilities exactly zero or one. Under the same tests, classical stochastic processes that measure in a fixed basis at every step have only linear capacity at fixed sizes and resolution. For phase sequences selected by a stored classical label, we then quantify how known independent Pauli noise changes this logarithmic enhancement. With ideal controls and weak residual phase noise after correction, we prove matching capacity bounds at a fixed small probability gap. These bounds identify the inverse residual phase-flip probability as the coherence timescale that limits the extra logarithmic growth.

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Latest papers 36