4 papers
Programmable Signal Design for Quantum Phase Estimation via Quantum Signal Processing
Zikang Jia, Suying Liu, Yulong Dong
Quantum phase estimation is a central primitive in quantum algorithms and sensing, where performance is governed by the sensitivity of measurement signals to the target parameter.…
Ensemble-Based Quantum Signal Processing for Error Mitigation
Suying Liu, Yulong Dong, Dong An +1
Despite rapid advances in quantum hardware, noise remains a central obstacle to deploying quantum algorithms on near-term devices. In particular, random coherent errors that accumu…
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…
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…