| 1 | Empirical Evaluation of Quantum Kernel Methods for Classification: A Comparative Study with Classical Kernels | Ronak Bhalgami | quant-ph | 2026-10-30 |
| 2 | General-purpose foundation models surpass specialized ones on chemical property prediction tasks | Stepan N. Ostarkov, Gregorii A. Semakin, Ivan A. Bespalov +1 | physics.chem-ph | 2026-10-30 |
| 3 | Overcoming the Representational Limitations of Amplitude Encoding for Quantum Neural Networks | Vincent Gurgul, David Prinz | quant-ph | 2026-10-30 |
| #4 | Leveraging Quantum Measurement Randomness for Shot-Efficient Diffusion Models | Tianhao Guo, Dianxin Zheng, Yuhua Qian +4 | quant-ph | 2026-10-30 |
| #5 | Distilling Knowledge from Search: Decoder Model Factory for Quantum LDPC Codes | Anil Bilgin, Wanda Hou, Pranav Srinivas +1 | quant-ph | 2026-10-30 |
| #6 | Estimation of Quantum Umlaut Information | Beomjoon Kim, Donghwa Ji, Kabgyun Jeong | quant-ph | 2026-10-30 |
| #7 | Researcher-in-the-Loop Evolutionary Discovery of Entanglement-Assisted Quantum Code Families | Jae-Hyun Baek, Byung-Sun Won, Jon-Lark Kim | cs.AI | 2026-10-30 |
| #8 | Collaborative AI agents for autonomous experimental research with solid-state quantum spins | El Mustapha Mansouri, Eikichi Kimura, Masato Koga +1 | cs.AI | 2026-10-29 |
| #9 | Fast and accurate neural triage decoding of ultra-high-rate quantum LDPC codes | Hong-Ye Hu, Zhenlai Wang, Binzhao Luo +2 | quant-ph | 2026-10-29 |
| #10 | Quantum-Inspired Convolutional Networks for High-Resolution Pseudo-Label Generation from Multimodal Earth Observation Data | Abhishek Singh, Giovanni Cuozzo, Alexander Jacob +1 | cs.LG | 2026-10-29 |
| #11 | Distilling Large-Scale Machine Learning Interatomic Potentials to Predict Long-Timescale Electrolyte Transport Properties | Ishan Amin, Yue Jian, Nitesh Kumar +10 | physics.chem-ph | 2026-10-29 |
| #12 | HERA: Assessing an Autonomous Agent for Quantum Device Measurement | Zachary W. Gomez, Nathan Bittner, Jordan T. McCourt +7 | cond-mat.mes-hall | 2026-10-29 |
| #13 | Autonomous Quantum Measurement with Agentic AI | Eunbi Rha, Abhijatmedhi Chotrattanapituk, Mouyang Cheng +6 | cond-mat.mtrl-sci | 2026-10-28 |
| #14 | Quantum-Inspired Pairwise Ranking Aggregation via Active LLM Feedback | Quan Mai, Susan Gauch, Gibson Nkhata | cs.IR | 2026-10-28 |
| #15 | Recurrent Bipartite Graph Neural Networks for QC-MDPC Error Decoding in McEliece Cryptosystems | Parth Rajeshkumar Tandel, Elisabeth Fink | cs.CR | 2026-10-28 |
| #16 | Barren Plateaus in Quantum Linear Combinations: Interference and Lie-Algebraic Control | Amir Koutahi, Pouya Kananian, Hans-Arno Jacobsen | quant-ph | 2026-10-28 |
| #17 | Responsible Quantum Machine Learning for Medical Imaging: A Fairness Audit Across Sensitive Subgroups | Giovanni dos Santos Franco, Felipe Mahlow, Ellison Fernando Cardoso +2 | cs.LG | 2026-10-27 |
| #18 | AI-Assisted Discovery of CNOT Decompositions for Quantum Permutations on Constrained Topologies | Daniele Lizzio Bosco, Jacopo Cossio, Simone Faro +4 | cs.AI | 2026-10-27 |
| #19 | Quantum Evolution Kernel for Node-Attributed Graphs | Manuel Padovani, Alessandra Di Pierro, Claudia Daffara | quant-ph | 2026-10-27 |
| #20 | Infinity Machine: a self-improving AI agent for research | Harish Santhanalakshmi Ganesan | cs.AI | 2026-10-26 |
| #21 | Wave Is All You Need: A Quantum Language Model Based on Fully Connected Quantum Boltzmann Machine | Jun Liu | quant-ph | 2026-10-25 |
| #22 | The Information Geometry of Representation Formation | Sanjukta Krishnagopal | cs.LG | 2026-10-25 |
| #23 | A quantum k-nearest neighbors implementation using magnitude-aware comparisons | Christopher Rector, Jiangwen Sun | cs.LG | 2026-10-24 |
| #24 | Quantum-Classical Link Prediction on Dark Web Hyperlink Graphs | Vojtěch Novák, Radovan Rečka, Ondřej Knebl +2 | cs.NI | 2026-10-23 |
| #25 | Can Entanglement-Induced Feature-Map Designs Improve Projected Quantum Kernels? | Ravi Kumar Jha, Hsuan-Yin Lin, Eirik Rosnes | quant-ph | 2026-10-22 |
| #26 | Bridging Number-Theoretic Primality Testing And Algorithmic Optimization: An Adaptive Cryptographic Framework | Tran Minh Thanh, Vo Hoai Viet | cs.CR | 2026-10-22 |
| #27 | Unit-Aware Differentially Private Quantum Machine Learning for Clinical and Wearable Health Data | Md Khalid Syfullah, Alvi Ataur Khalil | cs.LG | 2026-10-20 |
| #28 | Can Quantum Layers offer Performance and Security Advantages in Vision-Language Models? | Md Khalid Syfullah, Alvi Ataur Khalil | quant-ph | 2026-10-20 |
| #29 | Quantum-JEPA: Quantum Born Priors for Latent-Action JEPA World Models | Zhiyuan Liu, Sicheng Liu, Haiyu Wu | cs.AI | 2026-10-20 |
| #30 | Magnolia: A Persistent-Memory Agent Framework for Computational Chemistry | Tao Jiang, Benjamin Navet, Yousouf Taghzouti +3 | cs.AI | 2026-10-19 |
| #31 | Supervised Learning with Quantum Hamiltonian Embeddings | Riccardo Molteni, Minjun Jeon, Paolo Braccia +8 | quant-ph | 2026-10-19 |
| #32 | Governing the Rule Space. Ruliology, Computational Irreducibility and Anticipatory Governance of Quantum Technologies | Antonio Felice Uricchio, Francesco Scagliola | cs.CL | 2026-10-19 |
| #33 | Physics-anchored residual quantum neural networks for cloud-cover parameterization | Zhuo Wang, Ce Yu, Bin Yang | quant-ph | 2026-10-19 |
| #34 | PFedQFT: Personalized Federated Quantum-Inspired Fine-Tuning for Medical Large Language Models | Qihan Huang, Lingxia Zhang, Guye Zhang +2 | cs.AI | 2026-10-19 |
| #35 | EmotiQ: A Quantum Residual Specialist Framework for Text Emotion Classification | Carlton Kigonya, Tanaka Chirara, Yunting Yin | cs.CL | 2026-10-18 |
| #36 | LiftDiff: Guided Discrete Diffusion for Quantum Code Construction | Yotam Peled, Eliya Nachmani | quant-ph | 2026-10-18 |
| #37 | Margin-Based Generalization for Quantum Machine Learning with Classical Data Encoding | Ju-Young Ryu, Tak Hur, Daniel K. Park | quant-ph | 2026-10-17 |
| #38 | Prototype-Guided Optimization of Quantum Data Embeddings with Linear Cost | Seokhoon Jeong, Daniel K. Park | quant-ph | 2026-10-17 |
| #39 | Task-aligned spectral inductive biases in parameterized quantum circuits | Felix Frohnert, Adrián Pérez-Salinas, Sebastian Lange +3 | quant-ph | 2026-10-16 |
| #40 | Quality-of-Transmission Estimation in Quantum Networks: Compute, Simulate, or Learn? | Anis Bekri, Amar Abane, Van Sy Mai +2 | quant-ph | 2026-10-16 |
| #41 | Self-Building Labs | Jiaru Bai, Yuchi Zhao, Han Hao +4 | cs.AI | 2026-10-16 |
| #42 | Expressivity of IQP Feature-Map Quantum Kernels via Reproducing Kernel Hilbert Spaces | Valeria Repetto, Stefano Melchionna, Romina D'Aurizio | quant-ph | 2026-10-16 |
| #43 | Learning angles for quantum approximate optimization | Johannes Jakubik, Isabelle Wittmann, Zaheed Gaffoor +5 | quant-ph | 2026-10-16 |
| #44 | Discovering state-of-the-art quantum circuits with large language models | Andi Gu, Alek H. Kemeny, Susanne F. Yelin +1 | quant-ph | 2026-10-15 |
| #45 | Same Spectrum, Harder First-Order Training: Phase-Locking in Single- versus Multi-Qubit Re-Uploading Circuits | Michael Poppel, David Bucher, Maximilian Zorn +5 | quant-ph | 2026-10-15 |
| #46 | Diffusion Language Models as Open Quantum Systems | Akinori Tanaka, Yukinao Akamatsu, Takuki Tomita +1 | cs.LG | 2026-10-15 |
| #47 | A Quantum Machine Learning Approach to Content-Based Media Recommendation | Mina Abbaszadeh, Ouissal Moumou, Anna Pearson +4 | cs.LG | 2026-10-15 |
| #48 | Reducing the Cost of Qudit State Preparation by Learning a Sparse Structure for SNAP Gates | Marco Pennazio, Leonardo Ignazio Pagliochini, Riccardo Pellini +2 | quant-ph | 2026-10-15 |
| #49 | When do quantum views help? Complementary classical-quantum representations in multi-view fusion | Azadeh Alavi, Fatemeh Kouchmeshki, Hossein Akhoundi +3 | quant-ph | 2026-10-15 |
| #50 | Quantum Versus Classical Machine Learning for Neuropsychiatric Disorders: A Feature-Matched Multi-Cohort Evaluation | Utsav Poudel, Anuj Nepal, Vyas Viswanath +1 | cs.AI | 2026-10-15 |