Key papers

• Position: The Inevitable Transition to Machine Learning in Quantum Chemistry (2026)
  Karen Sargsyan et al.
  5.89
• Optimal Stabilizer Testing and Learning with Limited Quantum Memory (2026)
  Srinivasan Arunachalam et al.
  5.49
• Quantum simulation of real-world nonlinear dynamics via Koopman method (2026)
  Baoyang Zhang et al.
  5.01
• A Novel Parallel QCNN Architecture with Efficient Classical Simulability (2026)
  Lawrence Nguyen et al.
  5.01
• Quantum Logic as the Logic of Contexts (2026)
  Haruki Emori et al.
  5.01
• Enhanced Neural Quantum State via Annealed Gradient Descent (2026)
  Shiwei Zhou et al.
  5.01
• Machine-learned syndrome post-selection for reliable quantum error correction (2026)
  Tobias Haug et al.
  5.01
• A Multiclass Quantum Aligned Centroid Kernel (2026)
  Kilian Tscharke et al.
  5.01
• PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks (2026)
  Farah Elnakhal et al.
  5.01
• Statevector-Referenced Geometry Survival of a Four-Qubit ZZ Quantum Kernel on IBM Quantum Hardware: A Fixed-Subset Diagnostic Across Three Execution Configurations (2026)
  Rostyslav Sipakov
  5.01
• Machine-Learned Compact Subspace Generation for Quantum Selected Configuration Interaction within Density Matrix Embedding Framework (2026)
  Ashish Kumar Patra et al.
  5.01
• An Analytically Trained Variational Surrogate for Quantum Phase Estimation on NISQ Hardware (2026)
  Mousumi Kundu et al.
  5.01
• Approximate Quantum State Preparation Through Proximal Policy Optimization (2026)
  Marco Mordacci et al.
  5.01
• Cautious optimism for deep parameterized quantum circuits (2026)
  Marie Kempkes et al.
  5.01
• Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing (2026)
  Austin Braniff (1) et al.
  4.90
• One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective (2026)
  Juan Agust\'in Duque et al.
  4.39
• QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron (2026)
  Bayram Yuksel Eker et al.
  4.39
• An Hybrid Quantum-Classical Diffusion Model for Image Generation (2026)
  Qipeng Qian et al.
  4.39
• QCNN with Rough Path Signature Kernels (2026)
  Leonardo Nogueira Falabella et al.
  4.39
• PQFA: Parallel Quantum Feature Augmentation of Fused Representations for Multimodal Classification (2026)
  Mingzhu Wang et al.
  4.39
• Quantum Topological Data Encoding (2026)
  Adam Weso{\l}owski et al.
  4.39
• From hyperplanes to hyperellipsoids: characterizing the inherent interpretability of linear and single-qubit mixed-state binary classification models (2026)
  Kaitlin Gili
  4.39
• Rethinking Quantum Continual Learning with Quantum Fisher Information (2026)
  Yu-Chao Hsu et al.
  4.39
• Nuclear Quantum Effects as a Denoising Problem (2026)
  Weizhou Wang et al.
  4.39
• Quantum Kernels and the Cross-Section of Stock Returns: Anatomy of a Vanishing Advantage (2026)
  Junchi Shen
  4.39
• Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates (2026)
  Kuo-Chung Peng et al.
  3.51
• Latency-Constrained Hardware-Aware Quantum Error Correction Co-Design with Adaptive Confidence-Gated Neural Decoding for the Rotated Surface Code (2026)
  Sumit Chongder
  3.51
• VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks? (2026)
  Anton Firc et al.
  3.51
• Identity-Paired Progressive Depth Training: When Trainability Persists Beyond Expressibility (2026)
  Athanasios Hadjidimoulas et al.
  3.51
• Adaptive Reinforcement Learning for Robust Open Quantum System Control: A Multi-Task Framework with Temporal Optimization (2026)
  Haftu W. Fentaw et al.
  3.39
• Benchmarking Quantum Reinforcement Learning (2025)
  Nico Meyer et al.
  2.60
• Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach (2025)
  Yang Xu and Vaneet Aggarwal
  2.60
• A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model (2025)
  Andris Ambainis et al.
  2.40
• Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning (2024)
  Maximilian N\"agele et al.
  2.21
• QnRL: Quantum-Native Reinforcement Learning (2026)
  Alexander DeRieux et al.
  1.94
• Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing (2026)
  Yash Vardhan Tomar et al.
  1.94
• Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits (2026)
  Yu-Ting Lee et al.
  1.89
• Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis (2026)
  Richie Yeung and Aleks Kissinger and Rob Cornish
  1.89
• QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning (2026)
  Kien X. Nguyen et al.
  1.89
• Quantum Advantage in Multi Agent Reinforcement Learning (2026)
  Simranjeet Singh Dahia et al.
  1.89
• QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting (2026)
  Alberto Marchisio et al.
  1.89
• Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices (2026)
  Farah Elnakhal et al.
  1.89
• Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning (2026)
  Gino Kwun et al.
  1.89
• QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning (2026)
  Songxin Qu et al.
  1.83
• Reinforcement learning for quantum processes with memory (2026)
  Josep Lumbreras et al.
  1.78
• Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era (2026)
  Armin Ahmadkhaniha et al.
  1.72
• Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study (2026)
  Gerhard Stenzel and Isabella Debelic and Michael K\"olle and Tobias Rohe and Leo S\"unkel and Julian Hager and Claudia Linnhoff-Popien
  1.72
• From Classical to Quantum Reinforcement Learning and Its Applications in Quantum Control: A Beginner's Tutorial (2026)
  Abhijit Sen et al.
  1.67
• Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication (2026)
  Michael K\"olle et al.
  1.67
• Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization (2026)
  Vincent Gurgul et al.
  1.67
• Reinforcement Learning for Quantum Technology (2026)
  Marin Bukov et al.
  1.67
• Exploring the holographic entropy cone via reinforcement learning (2026)
  Temple He et al.
  1.67
• Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes (2026)
  Daniel Mills et al.
  1.67
• Quantum-Inspired Reinforcement Learning for Secure and Sustainable AIoT-Driven Supply Chain Systems (2026)
  Muhammad Bilal Akram Dastagir et al.
  1.67
• Formal Verification of Noisy Quantum Reinforcement Learning Policies (2025)
  Dennis Gross
  1.61
• Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning (2025)
  Thore Gerlach et al.
  1.56
• Improved Offline Reinforcement Learning via Quantum Metric Encoding (2025)
  Outongyi Lv et al.
  1.56
• Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries (2025)
  Xiaobin Song et al.
  1.56
• Discovering autonomous quantum error correction via deep reinforcement learning (2025)
  Yue Yin et al.
  1.56
• Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning (2025)
  Le Tung Giang and Vu Hoang Viet and Nguyen Xuan Tung and Trinh Van Chien and Won-Joo Hwang
  1.56