Quantum Reservoir Computing

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Overview

Quantum reservoir computing studies how a quantum system’s evolving states can encode temporal patterns, which a usually classical readout then uses for tasks such as forecasting, classification, and modeling physical dynamics. Common approaches use fixed spin systems, quantum circuits, or atomic platforms, with linear or kernel-based readouts; some add feedback, tunable dissipation, or trainable quantum components. Work spans standard temporal benchmarks such as NARMA and chaotic forecasting, as well as energy, medical, molecular, and scientific-computing tasks. A central open question is whether these systems offer reliable benefits over carefully tuned classical models, given trade-offs among memory, useful features, noise, measurement cost, and hardware resources.

Latest papers

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18 papers1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Digital Twin Modeling of Quantum Dynamical Systems: Dissipative Quantum Reservoir Computing

    Sep 29, 2026Abhijit Sen, Bikram Keshari Parida, Shital Chauhan +2Quantum Reservoir ComputingDigital Twins

    Department of Physics and Engineering Physics, Tulane University, New Orleans, Louisiana 70118, USA · Department of Data Science, Dongduk Women’s University, Seoul, South Korea · SSJDWSSSS Government Post Graduate College, Ranikhet 263645, India

  2. Coherent Floquet quantum reservoirs for molecular property prediction

    Sep 10, 2026Luofei Wang, Da Zhang, Congren Wang +5Dynamical SystemsQuantum Reservoir Computing

    Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements (MOE), School of Physics, Beijing Institute of Technology, Beijing 100081, China · School of Computer Science and Technology, Shandong University, Qingdao 266230, China

  3. Task-Resolved Fisher Spectroscopy for Quantum Reservoir Computing

    Aug 26, 2026Yang PengReservoir ComputingQuantum Reservoir Computing

    Department of Physics and Astronomy, California State University, Northridge, California 91330, USA · Institute of Quantum Information and Matter and Department of Physics, California Institute of Technology, Pasadena, California 91125, USA

  4. Quantum Reservoir Computing with Physics-Informed Correction for Reduced-Order PDE Forecasting

    Aug 24, 2026Krishna Bhatia, Harsh, Shalini DevendrababuQuantum Reservoir ComputingReduced-Order Modeling

    QuantumAI Lab, Fractal Analytics, Mumbai, India · Department of Physics, Indian Institute of Technology, Jodhpur, India

  5. A Single Atom in Front of a Mirror is a Universal Reservoir Computer

    Aug 11, 2026Peter J. Ehlers, Phi Hung Nguyen, Kanu Sinha +4Reservoir ComputingUniversal Approximation

    Wyant College of Optical Sciences, University of Arizona, Tucson, AZ, USA · Department of Physics, University of Arizona, Tucson, AZ, USA · School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia

  6. Hybrid LLM-Guided Search for Quantum Reservoir Architecture Design

    Jul 21, 2026Krishna Bhatia, Gautami Sanjay NaikLarge Language Model-Guided OptimizationQuantum Machine Learning

    QuantumAI Lab, Fractal Analytics India · Indian Institute of Information Technology Dharwad India

  7. Quantum Reservoir Computing: Recent Advances and Future Directions

    Jul 20, 2026Shehbaz Tariq, Muhammad Talha, Arshid Ali +2Quantum Machine LearningReservoir Computing

    Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg City, Luxembourg · School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, United Kingdom

  8. A Quantum-Classical Hybrid Framework for Multivariate Time-Series Forecasting Complexity-Fidelity Trade-offs and Limitations

    Jul 17, 2026Sanjay Chakraborty, Fredrik HeintzMultivariate Time Series ForecastingTime Series Forecasting

    Department of Computer Science & Engineering, Techno International New Town, Kolkata, India

  9. When Classical Baselines Are Tuned as Carefully as the Quantum Model, Does Quantum Reservoir Computing Still Win?

    Jul 10, 2026Tushar PandeyTime Series ForecastingForecasting Benchmarks

    Texas A&M University

  10. A Quantum Reservoir Architecture for Chaotic Forecasting and a Test of Whether Its High Dimension Helps

    Jul 8, 2026Tushar PandeyReservoir ComputingQuantum Reservoir Computing

    Texas A&M University, College Station, TX, USA

  11. Quantum Reservoir Computing for Short-Term Power Load Forecasting in Resource-Constrained Energy Systems

    Jun 11, 2026Mansi Od, Param Pathak, Nouhaila Innan +1Time Series ForecastingReservoir Computing

    University of Greenwich, London, United Kingdom · Fractal Analytics, QuantumAI Lab, Mumbai, Maharashtra, India · eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE +1

  12. Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs

    May 12, 2026Erik L. Connerty, Ethan N. EvansReservoir ComputingQuantum Reservoir Computing

    University of South Carolina - Columbia, Columbia, SC, USA · Qodex Quantum, Chicago, IL, USA

  13. Medical Imaging Classification with Cold-Atom Reservoir Computing using Auto-Encoders and Surrogate-Driven Training

    May 7, 2026Nuno Batista, Ana Morgado, Oscar Ferraz +3Medical Image AnalysisHybrid Quantum-Classical ML

    Instituto de Telecomunicações, Dept. of Electrical and Computer Engineering, University of Coimbra, Portugal · CFisUC, Department of Physics, University of Coimbra, Portugal · ISR - Institute of Systems and Robotics, Dept. of Electrical and Computer Engineering, University of Coimbra, Portugal

  14. Recurrent Quantum Feature Maps for Reservoir Computing

    Apr 3, 2026Utkarsh Singh, Aaron Z. Goldberg, Christoph Simon +1Quantum Reservoir ComputingQuantum Feature Maps

    Department of Physics, University of Ottawa, 25 Templeton Street, Ottawa, Ontario, K1N 6N5 Canada · National Research Council of Canada, 100 Sussex Drive, Ottawa, Ontario K1N 5A2, Canada · Institute for Quantum Science and Technology, Department of Physics and Astronomy, University of Calgary, Alberta T2N 1N4, Canada +1

  15. Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach

    Feb 20, 2026Markus Gross, Hans-Martin RieserQuantum Machine LearningQuantum Reservoir Computing

    Institute for AI Safety and Security, German Aerospace Center (DLR), Sankt Augustin and Ulm, Germany

  16. Kernel-based optimization of measurement operators for quantum reservoir computers

    Feb 16, 2026Markus Gross, Hans-Martin RieserQuantum Reservoir ComputingQuantum Kernel Methods

    Institute for AI Safety and Security, German Aerospace Center (DLR), Sankt Augustin and Ulm, Germany

  17. Quantum Reservoir Computing with Neutral Atoms on a Small, Complex, Medical Dataset

    Feb 16, 2026Luke Antoncich, Yuben Moodley, Ugo Varetto +5Quantum Reservoir ComputingClinical Outcome Prediction

    Centre for Quantum Information, Simulation and Algorithms, The University of Western Australia, Perth, Australia · Centre for Respiratory Health, University of Western Australia, Perth, WA, Australia · School of Medicine & Pharmacology, University of Western Australia, Perth, Western Australia, Australia +4

  18. Role of scrambling and noise in temporal information processing with quantum systems

    May 15, 2025Weijie Xiong, Zoë Holmes, Armando Angrisani +3Reservoir ComputingQuantum Reservoir Computing

    Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland · Centre for Quantum Science and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland · Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulongkorn University, Bangkok, Thailand