2 papers
quant-ph2025
Optimal and Robust In-situ Quantum Hamiltonian Learning through Parallelization
Suying Liu, Xiaodi Wu, Murphy Yuezhen Niu
Hamiltonian learning is a cornerstone for advancing accurate many-body simulations, improving quantum device performance, and enabling quantum-enhanced sensing. Existing readily de…
quant-ph2024
Robust analog quantum simulators by quantum error-detecting codes
Yingkang Cao, Suying Liu, Haowei Deng +3
Achieving noise resilience is an outstanding challenge in Hamiltonian-based quantum computation. To this end, energy-gap protection provides a promising approach, where the desired…