82 citations · 206 across the 16 of their papers we have counts for
6 papers · 1 filter
Time-dependent unbounded Hamiltonian simulation with vector norm scaling
Dong An, Di Fang, Lin Lin
The accuracy of quantum dynamics simulation is usually measured by the error of the unitary evolution operator in the operator norm, which in turn depends on certain norm of the Ha…
Near-optimal ground state preparation
Lin Lin, Yu Tong
Preparing the ground state of a given Hamiltonian and estimating its ground energy are important but computationally hard tasks. However, given some additional information, these p…
Policy Gradient based Quantum Approximate Optimization Algorithm
Jiahao Yao, Marin Bukov, Lin Lin
The quantum approximate optimization algorithm (QAOA), as a hybrid quantum/classical algorithm, has received much interest recently. QAOA can also be viewed as a variational ansatz…
Robust Control Optimization for Quantum Approximate Optimization Algorithm
Yulong Dong, Xiang Meng, Lin Lin +2
Quantum variational algorithms have garnered significant interest recently, due to their feasibility of being implemented and tested on noisy intermediate scale quantum (NISQ) devi…
Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems
Lin Lin, Yu Tong
We present a quantum eigenstate filtering algorithm based on quantum signal processing (QSP) and minimax polynomials. The algorithm allows us to efficiently prepare a target eigens…
Discontinuous Galerkin discretization for quantum simulation of chemistry
Jarrod R. McClean, Fabian M. Faulstich, Qinyi Zhu +5
Methods for electronic structure based on Gaussian and molecular orbital discretizations offer a well established, compact representation that forms much of the foundation of corre…