1 citations · 2 across the 4 of their papers we have counts for
5 papers
Heisenberg-Limited Quantum Eigenvalue Estimation for Non-normal Matrices
Yukun Zhang, Yusen Wu, Xiao Yuan
Estimating the eigenvalues of non-normal matrices is a foundational problem with far-reaching implications, from modeling non-Hermitian quantum systems to analyzing complex fluid d…
Measuring Less to Learn More: Quadratic Speedup in learning Nonlinear Properties of Quantum Density Matrices
Yukun Zhang, Yusen Wu, You Zhou +1
A fundamental task in quantum information science is to measure nonlinear functionals of quantum states, such as . Intuitively, one expects that computing a …
Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization
Yusen Wu, Yukun Zhang, Chuan Wang +1
Quantum process characterization is a fundamental task in quantum information processing, yet conventional methods, such as quantum process tomography, require prohibitive resource…
A Dequantized Algorithm for the Guided Local Hamiltonian Problem
Yukun Zhang, Yusen Wu, Xiao Yuan
The local Hamiltonian (LH) problem, the quantum analog of the classical constraint satisfaction problem, is a cornerstone of quantum computation and complexity theory. It is known…
Classical Algorithms for Hamiltonian Dynamics Mean Value and Guided Local Hamiltonian Problem
Yusen Wu, Yukun Zhang, Chuan Wang +1
The efficient simulation of quantum dynamics and ground states is a central challenge in physics and a key frontier for quantum advantage. While short-time evolution in one-dimensi…