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quant-ph2025
PALQO: Physics-informed Model for Accelerating Large-scale Quantum Optimization
Yiming Huang, Yajie Hao, Jing Zhou +3
Variational quantum algorithms (VQAs) are leading strategies to reach practical utilities of near-term quantum devices. However, the no-cloning theorem in quantum mechanics preclud…
quant-ph2024
Learning Symmetric Hamiltonian
Jing Zhou, D. L. Zhou
Hamiltonian Learning is a process of recovering system Hamiltonian from measurements, which is a fundamental problem in quantum information processing. In this study, we investigat…
quant-ph2023
Recovery of a generic local Hamiltonian from a degenerate steady state
Jing Zhou, D. L. Zhou
Hamiltonian Learning (HL) is essential for validating quantum systems in quantum computing. Not all Hamiltonians can be uniquely recovered from a steady state. HL success depends o…