Quantum Machine Learning

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Period ending 2026-09-21

15 new papers

A weekly snapshot of new work published in Quantum Machine Learning.

Period ending 2026-09-14

8 new papers

A weekly snapshot of new work published in Quantum Machine Learning.

Period ending 2026-09-07

8 new papers

A weekly snapshot of new work published in Quantum Machine Learning.

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455 papers

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  1. Learning to Concatenate Quantum Codes

    Apr 16, 2026Nico Meyer, Christopher Mutschler, Dominik Seuß +2Quantum Error CorrectionPost-Quantum Cryptography

  2. Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation

    Apr 9, 2026Andrew Qing He, Wei Cai, Sihong ShaoPhase SpaceQuantum Neural Networks

  3. Four Generations of Quantum Biomedical Sensors

    Mar 31, 2026Xin Jin, Priyam Srivastava, Ronghe Wang +7Quantum Machine LearningSensors

  4. A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference

    Mar 10, 2026Yixiong ChenQuantum Machine LearningQuantum Circuit Simulation

  5. Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation

    Feb 27, 2026Jonas Jäger, Florian J. Kiwit, Carlos A. RiofríoQuantum Machine LearningQuantum Computing

  6. Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings

    Feb 20, 2026Sreejith Sreekumar, Nir WeinbergerQuantum Machine LearningLarge Language Model Quantization

  7. Multi-Agent Route Planning as a QUBO Problem

    Feb 8, 2026Renáta Rusnáková, Martin Chovanec, Juraj GazdaVehicle Routing ProblemMulti-Agent Path Finding

  8. Bayesian quantum sensing using graybox machine learning

    Jan 24, 2026Akram Youssry, Stefan Todd, Patrick Murton +4Quantum Machine LearningBlack Box

  9. Neural Minimum Weight Perfect Matching for Quantum Error Codes

    Jan 1, 2026Yotam Peled, David Zenati, Eliya NachmaniQuantum Error CorrectionBipartite Perfect Matchings

  10. Shuttling Compiler for Trapped-Ion Quantum Computers Based on Fine-Tuned Large Language Models

    Dec 19, 2025Fabian Kreppel, Reza Salkhordeh, Ferdinand Schmidt-Kaler +1Quantum ComputingLarge Language Model Quantization

  11. Can Coding Agents Migrate to Post-Quantum Cryptography?

    Dec 15, 2025Abdulmalik AlquwayfiliPost-Quantum CryptographyCoding Agents

  12. Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates

    Dec 10, 2025Prashant Kumar Choudhary, Nouhaila Innan, Muhammad Shafique +1Variational Quantum CircuitsQuantum Circuit Simulation

  13. Efficient learning of bosonic Gaussian unitaries

    Oct 7, 2025Marco Fanizza, Vishnu Iyer, Junseo Lee +2N$-Qubit Stabilizer StatesResource-Constrained Edge Devices

  14. Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

    Sep 17, 2025Jiun-Cheng Jiang, Morris Yu-Chao Huang, Tianlong Chen +1Variational Quantum CircuitsKolmogorov-Arnold Networks

  15. Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the AC Optimal Power Flow

    Aug 30, 2025Thinh Viet Le, Mark M. Wilde, Vassilis KekatosVariational Quantum CircuitsQuadratic Programs

  16. Quantum Flow Matching

    Aug 17, 2025Zidong Cui, Pan Zhang, Ying TangQuantum Circuit SimulationStatistical Mechanics

  17. Comparison of D-Wave Quantum Annealing and Gibbs Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine

    Aug 13, 2025Abdelmoula El-Yazizi, Yaroslav KoshkaQuantum Approximate Optimization AlgorithmFlat Minima

  18. Quantum Bayesian Networks Can Speed up Reinforcement Learning in Partially Observable Environments

    Jul 24, 2025Gilberto Cunha, Alexandra Ramôa, André Sequeira +2Quantum AdvantageBayesian Networks

  19. Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning

    Jun 26, 2025Jiechen Chen, Bipin Rajendran, Osvaldo SimeoneQuantum Neural NetworksSpiking Neural Networks

  20. Learning thermodynamic master equations for open quantum systems

    Jun 2, 2025Peter Sentz, Stanley Nicholson, Yujin Cho +3HamiltonianQuantum Machine Learning

  21. Quantum Adaptive Self-Attention for Quantum Transformer Models

    Apr 5, 2025Chi-Sheng Chen, En-Jui KuoQuantum Machine LearningQuantum Advantage

  22. Benign Overfitting with Quantum Kernels

    Mar 21, 2025Joachim Tomasi, Sandrine Anthoine, Hachem KadriQuantum KernelsOverfitting

  23. Quantum State Preparation with the QNN-based SRBB Algorithm

    Mar 17, 2025Marco Mordacci, Giacomo Belli, Michele AmorettiN$-Qubit Stabilizer StatesVariational Quantum Circuits

  24. Superstate Quantum Mechanics

    Jan 25, 2025Mikhail Gennadievich Belov, Victor Victorovich Dubov, Vadim Konstantinovich Ivanov +3Quantum Circuit SimulationMany-Body Physics

  25. Classification of Financial Data Using Quantum Support Vector Machine

    Dec 14, 2024Seemanta Bhattacharjee, MD. Muhtasim Fuad, A. K. M. Fakhrul HossainQuantum KernelsKernel Method

  26. How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

    Nov 15, 2024Masoud Mohseni, Artur Scherer, K. Grace Johnson +48Quantum ComputingHybrid Quantum Neural Networks

  27. Reinforcement learning for Quantum Tiq-Taq-Toe

    Nov 10, 2024Catalin-Viorel Dinu, Thomas MoerlandQuantum Computing

  28. Gradient Testing and Estimation by Comparisons

    May 19, 2024Xiwen Tao, Chenyi Zhang, Helin Wang +2Sharp Joint-Kl Oracle TheoryQuantum Advantage

  29. A short review on the maximum clique problem algorithms with classical, AI, and quantum methods

    Mar 13, 2024Raffaele Marino, Lorenzo Buffoni, Bogdan ZavalnijMaximum Independent SetQuantum Advantage

  30. Simulation-Based Evaluation of Energy-Constrained Quantum-Classical Competition

    Aug 15, 2023Junyu Liu, Hansheng Jiang, Zuo-Jun Max ShenQuantum AdvantageHybrid Quantum Neural Networks

  31. Trainability-Oriented Hybrid Quantum Regression via Geometric Preconditioning and Curriculum Optimization

    Date pendingQingyu Meng, Yangshuai WangQuantum Neural NetworksHybrid Quantum Neural Networks

  32. Semidefinite Programming for Quantum Channel Learning

    Date pendingMikhail Gennadievich Belov, Victor Victorovich Dubov, Vadim Konstantinovich Ivanov +3N$-Qubit Stabilizer StatesSemidefinite Programming

  33. QuantumQUBO Agent: Automating Quadratic Unconstrained Binary Optimization (QUBO) Formulation Generation from Natural Language

    Date pendingNiloy Kumar Mondal, Md Rizwan ParvezQuantum Approximate Optimization AlgorithmBilevel Optimization

  34. Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning

    Date pendingSantanu Ganguly, Xing Liang, Dimitrios MakrisQuantum Machine LearningFisher Information

  35. Classical and quantum kernel fusion for two-sample testing

    Date pendingYu Terada, Yugo Ogio, Ken Arai +2Quantum KernelsTwo-Sample Testing