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3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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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.
RouteRec: Behavior-Guided Sparse Routing for Sequential Recommendation
Sep 30, 2026Junyeong Song, Jaemin YooSequential Recommendation Recommendation Quality
Korea Advanced Institute of Science and Technology Daejeon, Republic of Korea · Seoul National University Seoul, Republic of Korea
When Order Matters: First-Speaker Bias and Mitigation through Personality in Sequential Multi-Agent Debate
Sep 30, 2026Duofeng Xu, Bryan Hooi, Dandan QiaoMulti-Agent Debate Personality
School of Computing National University of Singapore Singapore
Recurrent Neural Networks Beyond Time: Learning from Multiple Ordered Projections
Aug 10, 2026Vagan Terziyan, Artur Terziian, Oleksandra VitkoRecurrent Neural Networks Sequence Modeling
Faculty of Information Technology, University of Jyväskylä, FINLAND · Faculty of Informatics and Statistics, Prague University of Economics and Business, Czech Republic · Department of Artificial Intelligence, Kharkiv National University of Radio Electronics, Ukraine
CACHE-UK: A Stability-Aware Memory Editor for Sequentially Updated Quantized LLMs in Finance
Jul 30, 2026Anubhav Lakra, Yue FengLarge Language Model Quantization Large Language Model Memory
University of Birmingham, Birmingham, United Kingdom
User-Centric Modeling of Transactional Sequences with Explainable State Space Models
Jul 22, 2026Ivan PalaginUser Modeling State Space Models
HSE University Moscow, Russia
Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data
Jul 17, 2026Kiwan Kwon, Kangmin Kim, Hojin Lee +5Synthetic Tabular Data Sequential
UNIST · HUFS · JP Morgan AI Research +1
Contextualized Early Detection of Online Firestorms: A Sequential LLM-Based Approach
Jul 16, 2026Besim Shala, Peter Mandl, Andreas Humpe +1Content Moderation Threat Detection
University of Applied Sciences Munich, Germany
Causal Inference for Sequential Settings under Interference and Latent Confounding
Jul 16, 2026Phevos Paschalidis, Constantinos Daskalakis, Devavrat ShahCausal Inferences Latent Confounders
EECS, LIDS, CSAIL · MIT · EECS, CSAIL +1
Fusion: A Framework for Unified Sequential Token AdaptatIon in VisiOn TraNsformers
Jul 1, 2026Aravind Pradeep, Samira Nazari, Mahdi Taheri +1Self-Supervised Vision Transformers Vision Transformer
Brandenburg University of Technology Cottbus-Senftenberg, Germany · University of Zanjan, Iran · Humboldt University, Berlin, Germany +1
The Geometry of Sequential Learning: Lie-Bracket Prediction of Transfer Order
Jun 23, 2026John SweeneyAdaptive Curriculum Sequential
Sideplane AI
Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
Jun 17, 2026Zheng He, Danica J. SutherlandConditional Independence Two-Sample Testing
Department of Computer Science, University of British Columbia, Vancouver, Canada · Alberta Machine Intelligence Institute, Edmonton, Canada
Dimensionality Controls When Modularity Helps in Continual Learning
Jun 16, 2026Kathrin Korte, Christian Medeiros Adriano, Joachim Winther Pedersen +2Replay-Based Continual Learning Continual Learning
IT University of Copenhagen, Denmark · Hasso Plattner Institute, University of Potsdam, Germany
Multi-Turn Reflective Masking Elicits Reasoning in Mask Diffusion Models
Jun 15, 2026Yanming Zhang, Yihan Bian, Jingyuan Qi +3Masked Diffusion Language Models Iterative Refinement
University of Maryland · Virginia Tech · Intuit +2
GRASP: Gradient-Aligned Sequential Parameter Transfer for Memory-Efficient Multi-Source Learning
Jun 12, 2026Mary Isabelle Wisell, Nicholas Jacobs, Aayush Manandhar +1Transfer Learning Sequential
San Diego State University, San Diego, CA, USA · University of Utah, Salt Lake City, UT, USA · University of Maine, Orono, ME, USA
Neither Parallel Nor Sequential: How DiffusionGemma Actually Commits Tokens
Jun 12, 2026Ali Asaria, Tony Salomone, Deep GandhiDiffusion Language Models Decoding
Transformer Lab
Towards Reliable Sequential Object Picking in Clutter: The Runner-up Solution to RGMC 2025
Jun 11, 2026Wei Yu, Xidan Zhang, Ziyi Zheng +2Robotic Grasping Objects
School of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Trading Utility for Dynamic Fairness in Multiple Resource Division with Sequential Demand
Jun 9, 2026Kaiqi Jiang, Karim El Husseini, Wenzhe Fan +1Algorithmic Fairness Pareto Frontier
Computer Science Dept., University of Illinois Chicago, Chicago, Illinois, USA
Diffusion Models for Adaptive Sequential Data Generation
Jun 4, 2026Haoyang Cao, Minshuo Chen, Yinbin Han +1Time-Series Generation Diffusion Models
Department of Applied Mathematics and Statistics, Data Science and AI Institute, and Mathematical Institute for Data Science, Johns Hopkins University. · Department of Industrial Engineering and Management Sciences, Northwestern University. · Department Management Science and Engineering, Stanford University.
Sequential Physics-Constrained Neural Operator Forward Modeling for the $\textit{Norne}$ Reservoir System
May 27, 2026Clement Etienam, Juntao Yang, Oleg Ovcharenko +4Fourier Neural Operators Neural Operators
NVIDIA Corporation
From Sequential Nodes to GPU Batches: Parallel Branch and Bound for Optimal $k$ -Sparse GLMs
May 21, 2026Jiachang Liu, Andrea LodiSolvers Optimal
∗Center for Data Science for Enterprise and Society, Cornell University, Ithaca, USA · †School of Operations Research and Information Engineering, Cornell University, Ithaca, USA · ‡Jacobs Technion-Cornell Institute, Cornell Tech and Technion–IIT, New York, USA
MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data
May 14, 2026Jiaqi Sun, Boyang Sun, Rasmy M. H. +2Replay-Based Continual Learning Continual Learning
1Carnegie Mellon University · 2Mohamed bin Zayed University of Artificial Intelligence
Agentick: A Unified Benchmark for General Sequential Decision-Making Agents
May 7, 2026Roger Creus Castanyer, Pablo Samuel Castro, Glen BersethAgentic Benchmarks Sequential Decision Making
Mila Quebec AI Institute · Université de Montréal · Mila Quebec AI Institute Université de Montréal +1
Exact and Evolutionary Algorithms for Sequential Multi-Objective Transmission Topology Planning
May 5, 2026Job Groeneveld, Miguel Muñoz, Jan Viebahn +1Optimal Power Flow Power Systems
TenneT TSO B.V., Arnhem, The Netherlands · Artelys, Paris, France · Department of Mathematics, Vrije Universiteit Amsterdam, The Netherlands
KellyBench: A Benchmark for Long-Horizon Sequential Decision Making
Apr 30, 2026Thomas Grady, Kip Parker, Iliyan Zarov +3Betting Sequential Decision Making
General Reasoning, Inc.
HANDFUL: Sequential Grasp-Conditioned Dexterous Manipulation with Resource Awareness
Apr 28, 2026Ethan Foong, Yunshuang Li, Hao Jiang +2Robotic Grasping Dexterous Manipulation
Department of Computer Science at Northwestern University · Viterbi School of Engineering at the University of Southern California
Interaction Protocol Shapes Moral Judgment in Multi-Agent Debate
Oct 11, 2025Pratik S. Sachdeva, Tom van NuenenMulti-Agent Debate Moral Reasoning
D-Lab, University of California, Berkeley
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data
Nov 6, 2023Yipeng Li, Xinchen LyuFederated Learning Convergence
National Engineering Research Center for Mobile Network Technologies Beijing University of Posts and Telecommunications Beijing, 100876, China

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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 28