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20172022
most citedLearning many-body Hamiltonians with Heisenberg-limited scaling

73 citations · 301 across the 13 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

quant-ph2022★ 73 cited

Learning many-body Hamiltonians with Heisenberg-limited scaling

Hsin-Yuan Huang, Yu Tong, Di Fang +1

Learning a many-body Hamiltonian from its dynamics is a fundamental problem in physics. In this work, we propose the first algorithm to achieve the Heisenberg limit for learning an…

quant-ph2022★ 5 cited

Uniform observable error bounds of Trotter formulae for the semiclassical Schrödinger equation

Yonah Borns-Weil, Di Fang

Known as no fast-forwarding theorem in quantum computing, the simulation time for the Hamiltonian evolution needs to be in the worst case, which essentially states tha…

quant-ph2022★ 64 cited

Time-marching based quantum solvers for time-dependent linear differential equations

Di Fang, Lin Lin, Yu Tong

The time-marching strategy, which propagates the solution from one time step to the next, is a natural strategy for solving time-dependent differential equations on classical compu…

math.NA2022

Asymptotic analysis of diabatic surface hopping algorithm in the adiabatic and non-adiabatic limits

Zhenning Cai, Di Fang, Jianfeng Lu

Surface hopping algorithms, as an important class of quantum dynamics simulation algorithms for non-adiabatic dynamics, are typically performed in the adiabatic representation, whi…

quant-ph2022★ 11 cited

Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation

Dong An, Di Fang, Stephen Jordan +3

Nonlinear differential equations exhibit rich phenomena in many fields but are notoriously challenging to solve. Recently, Liu et al. [1] demonstrated the first efficient quantum a…