Showing 1–16 of 16 results
/ Date/ Name
Nov 7, 2022A Survey on Quantum Reinforcement LearningFeb 1, 2023Cutting multi-control quantum gates with ZX calculusApr 27, 2023BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploadingMay 6, 2022Incremental Data-Uploading for Full-Quantum ClassificationNov 5, 2024Fourier Analysis of Variational Quantum Circuits for Supervised LearningApr 27, 2023An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based GradientsApr 24, 2024Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift RuleDec 15, 2023Optimal joint cutting of two-qubit rotation gatesFeb 10, 2022Uncovering Instabilities in Variational-Quantum Deep Q-NetworksApr 23, 2024Unitary Synthesis of Clifford+T Circuits with Reinforcement LearningApr 9, 2024Qiskit-Torch-Module: Fast Prototyping of Quantum Neural NetworksJun 17, 2025CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cuttingApr 7, 2026Soft-Quantum AlgorithmsJun 10, 2025Superposed parameterised quantum circuitsApr 7, 2026Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural NetworksApr 4, 2025Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks