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quant-ph2024
Meta-learning assisted robust control of universal quantum gates with uncertainties
Shihui Zhang, Zibo Miao, Yu Pan +2
Achieving high-fidelity quantum gates is crucial for reliable quantum computing. However, decoherence and control pulse imperfections pose significant challenges in realizing the t…
quant-ph2020★ 1 cited
Optimizing Quantum Annealing Schedules with Monte Carlo Tree Search enhanced with neural networks
Yu-Qin Chen, Yu Chen, Chee-Kong Lee +2
Quantum annealing is a practical approach to approximately implement the adiabatic quantum computational model under a real-world setting. The goal of an adiabatic algorithm is to…