{"total":77,"rows":[{"id":"2104.07715","title":"Quantum Architecture Search via Deep Reinforcement Learning","created":"2021-04-15","cited_by_count":60,"area":null},{"id":"2402.03500","title":"Curriculum reinforcement learning for quantum architecture search under hardware errors","created":"2024-02-05","cited_by_count":37,"area":"deeprl"},{"id":"2406.17630","title":"KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search","created":"2024-06-25","cited_by_count":37,"area":null},{"id":"2402.14396","title":"Quantum Circuit Optimization with AlphaTensor","created":"2024-02-22","cited_by_count":36,"area":null},{"id":"2311.02041","title":"Quantum circuit synthesis with diffusion models","created":"2023-11-03","cited_by_count":33,"area":"diffusion"},{"id":"2406.06210","title":"Quantum Architecture Search: A Survey","created":"2024-06-10","cited_by_count":32,"area":null},{"id":"2110.03861","title":"QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks","created":"2021-10-06","cited_by_count":27,"area":null},{"id":"2206.04804","title":"Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression","created":"2022-06-08","cited_by_count":26,"area":null},{"id":"2112.05779","title":"Quantum Architecture Search via Continual Reinforcement Learning","created":"2021-12-10","cited_by_count":22,"area":null},{"id":"2206.08273","title":"Concentration of Data Encoding in Parameterized Quantum Circuits","created":"2022-06-16","cited_by_count":15,"area":null},{"id":"2407.18202","title":"Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning","created":"2024-07-25","cited_by_count":14,"area":"deeprl"},{"id":"2407.20147","title":"Quantum Machine Learning Architecture Search via Deep Reinforcement Learning","created":"2024-07-29","cited_by_count":13,"area":"deeprl"},{"id":"2406.02470","title":"Meta-Designing Quantum Experiments with Language Models","created":"2024-06-04","cited_by_count":12,"area":null},{"id":"2306.11086","title":"Enhancing variational quantum state diagonalization using reinforcement learning techniques","created":"2023-06-19","cited_by_count":11,"area":null},{"id":"2308.14328","title":"Reinforcement Learning for Generative AI: A Survey","created":"2023-08-28","cited_by_count":11,"area":null},{"id":"2403.02871","title":"Quantum Mixed-State Self-Attention Network","created":"2024-03-05","cited_by_count":11,"area":null},{"id":"2209.11144","title":"Automatic and effective discovery of quantum kernels","created":"2022-09-22","cited_by_count":10,"area":null},{"id":"2307.10120","title":"Quarl: A Learning-Based Quantum Circuit Optimizer","created":"2023-07-17","cited_by_count":10,"area":null},{"id":"2401.07054","title":"A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis","created":"2024-01-13","cited_by_count":10,"area":"deeprl"},{"id":"2402.13754","title":"Reinforcement learning-assisted quantum architecture search for variational quantum algorithms","created":"2024-02-21","cited_by_count":10,"area":"deeprl"},{"id":"2405.19725","title":"Quantum Visual Feature Encoding Revisited","created":"2024-05-30","cited_by_count":10,"area":null},{"id":"2312.11337","title":"Challenges for Reinforcement Learning in Quantum Circuit Design","created":"2023-12-18","cited_by_count":9,"area":null},{"id":"2401.07039","title":"Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble","created":"2024-01-13","cited_by_count":9,"area":"diffusion"},{"id":"2406.02717","title":"Reinforcement learning-based architecture search for quantum machine learning","created":"2024-06-04","cited_by_count":9,"area":"deeprl"},{"id":"2409.05475","title":"Reinforcement Learning for Variational Quantum Circuits Design","created":"2024-09-09","cited_by_count":9,"area":"deeprl"},{"id":"2412.12484","title":"Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity","created":"2024-12-17","cited_by_count":9,"area":null},{"id":"2407.00736","title":"Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects","created":"2024-06-30","cited_by_count":8,"area":null},{"id":"2306.05622","title":"Improving Quantum Circuit Synthesis with Machine Learning","created":"2023-06-09","cited_by_count":7,"area":null},{"id":"2401.11098","title":"Neural auto-designer for enhanced quantum kernels","created":"2024-01-20","cited_by_count":7,"area":null},{"id":"2406.06150","title":"Physics-Informed Bayesian Optimization of Variational Quantum Circuits","created":"2024-06-10","cited_by_count":7,"area":null},{"id":"2411.00230","title":"Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware","created":"2024-10-31","cited_by_count":7,"area":"deeprl"},{"id":"2505.09371","title":"TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search","created":"2025-05-14","cited_by_count":7,"area":"deeprl"},{"id":"2408.06524","title":"From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks","created":"2024-08-12","cited_by_count":6,"area":null},{"id":"2505.23860","title":"Quantum computing and artificial intelligence: status and perspectives","created":"2025-05-29","cited_by_count":6,"area":null},{"id":"2506.01666","title":"Synthesis of discrete-continuous quantum circuits with multimodal diffusion models","created":"2025-06-02","cited_by_count":6,"area":"diffusion"},{"id":"2106.03931","title":"Entropy Regularized Reinforcement Learning Using Large Deviation Theory","created":"2021-06-07","cited_by_count":5,"area":null},{"id":"2502.03962","title":"Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search","created":"2025-02-06","cited_by_count":5,"area":null},{"id":"2208.13246","title":"AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images","created":"2022-08-28","cited_by_count":4,"area":null},{"id":"2401.11576","title":"Quantum Architecture Search with Unsupervised Representation Learning","created":"2024-01-21","cited_by_count":4,"area":null},{"id":"2404.15751","title":"Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule","created":"2024-04-24","cited_by_count":4,"area":null},{"id":"2406.12195","title":"Quantum Compiling with Reinforcement Learning on a Superconducting Processor","created":"2024-06-18","cited_by_count":4,"area":null},{"id":"2409.18692","title":"MG-Net: Learn to Customize QAOA with Circuit Depth Awareness","created":"2024-09-27","cited_by_count":4,"area":null},{"id":"2505.20863","title":"Leveraging Diffusion Models for Parameterized Quantum Circuit Generation","created":"2025-05-27","cited_by_count":4,"area":"diffusion"},{"id":"2510.26688","title":"FlowQ-Net: A Generative Framework for Automated Quantum Circuit Design","created":"2025-10-30","cited_by_count":4,"area":null},{"id":"2312.01567","title":"Toward Automated Quantum Variational Machine Learning","created":"2023-12-04","cited_by_count":3,"area":null},{"id":"2406.07124","title":"CHARME: A chain-based reinforcement learning approach for the minor embedding problem","created":"2024-06-11","cited_by_count":3,"area":"deeprl"},{"id":"2605.04604","title":"Generative Quantum-inspired Kolmogorov-Arnold Eigensolver","created":"2026-05-06","cited_by_count":3,"area":null},{"id":"2403.04268","title":"Qubit-Wise Architecture Search Method for Variational Quantum Circuits","created":"2024-03-07","cited_by_count":2,"area":null},{"id":"2501.11454","title":"Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardware","created":"2025-01-20","cited_by_count":2,"area":"deeprl"},{"id":"2507.12189","title":"BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search","created":"2025-07-16","cited_by_count":2,"area":"deeprl"},{"id":"2212.11890","title":"Decoding surface codes with deep reinforcement learning and probabilistic policy reuse","created":"2022-12-22","cited_by_count":1,"area":null},{"id":"2212.12743","title":"Automated Gadget Discovery in Science","created":"2022-12-24","cited_by_count":1,"area":null},{"id":"2304.02480","title":"Quantum Imitation Learning","created":"2023-04-04","cited_by_count":1,"area":"offlinerl"},{"id":"2310.07858","title":"QArchSearch: A Scalable Quantum Architecture Search Package","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2402.15333","title":"A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity","created":"2024-02-23","cited_by_count":1,"area":null},{"id":"2412.02334","title":"Reinforcement learning to learn quantum states for Heisenberg scaling accuracy","created":"2024-12-03","cited_by_count":1,"area":"deeprl"},{"id":"2506.03697","title":"RhoDARTS: Differentiable Quantum Architecture Search with Density Matrix Simulations","created":"2025-06-04","cited_by_count":1,"area":null},{"id":"2508.07104","title":"QuProFS: An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search","created":"2025-08-09","cited_by_count":1,"area":null},{"id":"2509.15451","title":"Neural Architecture Search Algorithms for Quantum Autoencoders","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2510.15833","title":"FIDDLE: Reinforcement Learning for Quantum Fidelity Enhancement","created":"2025-10-17","cited_by_count":1,"area":null},{"id":"2601.19738","title":"Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce $T$-count","created":"2026-01-27","cited_by_count":1,"area":null},{"id":"2603.03045","title":"QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks","created":"2026-03-03","cited_by_count":1,"area":null},{"id":"2604.21863","title":"Replay-buffer engineering for noise-aware quantum circuit optimization","created":"2026-04-23","cited_by_count":1,"area":"deeprl"},{"id":"2311.04285","title":"Compilation of product-formula Hamiltonian simulation via reinforcement learning","created":"2023-11-07","cited_by_count":0,"area":null},{"id":"2401.05571","title":"QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits","created":"2024-01-10","cited_by_count":0,"area":null},{"id":"2405.16380","title":"Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning","created":"2024-05-25","cited_by_count":0,"area":"deeprl"},{"id":"2409.18338","title":"AQMLator -- An Auto Quantum Machine Learning E-Platform","created":"2024-09-26","cited_by_count":0,"area":null},{"id":"2509.11198","title":"Quantum Architecture Search for Solving Quantum Machine Learning Tasks","created":"2025-09-14","cited_by_count":0,"area":null},{"id":"2601.21780","title":"Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.12465","title":"Probabilistic Design of Parametrized Quantum Circuits through Local Gate Modifications","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2603.20024","title":"Layered Quantum Architecture Search for 3D Point Cloud Classification","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2604.07951","title":"Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2605.03932","title":"Magic-Informed Quantum Architecture Search","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2607.04845","title":"Energy Accuracy Is Not Enough: A Structure-Aware Benchmark and Evaluation Protocol for Quantum Architecture Search","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.29491","title":"DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search","created":"2026-07-31","cited_by_count":0,"area":"wm"},{"id":"2609.11248","title":"Generative Replay Mitigates Sample Starvation in Quantum Architecture Search","created":"2026-09-10","cited_by_count":0,"area":"deeprl"},{"id":"2609.31066","title":"Modeling quantum neural network gradient with reinforcement learning","created":"2026-09-25","cited_by_count":0,"area":"deeprl"}],"next_cursor":null}