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20202024
most citedOn low-depth algorithms for quantum phase estimation

45 citations · 138 across the 13 of their papers we have counts for

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7 papers · 1 filter

quant-ph2024★ 22 cited

Quantum Multiple Eigenvalue Gaussian filtered Search: an efficient and versatile quantum phase estimation method

Zhiyan Ding, Haoya Li, Lin Lin +3

Quantum phase estimation is one of the most powerful quantum primitives. This work proposes a new approach for the problem of multiple eigenvalue estimation: Quantum Multiple Eigen…

quant-ph2023

Quantum Hamiltonian Learning for the Fermi-Hubbard Model

Hongkang Ni, Haoya Li, Lexing Ying

This work proposes a protocol for Fermionic Hamiltonian learning. For the Hubbard model defined on a bounded-degree graph, the Heisenberg-limited scaling is achieved while allowing…

quant-ph2023★ 3 cited

Heisenberg-limited Hamiltonian learning for interacting bosons

Haoya Li, Yu Tong, Hongkang Ni +2

We develop a protocol for learning a class of interacting bosonic Hamiltonians from dynamics with Heisenberg-limited scaling. For Hamiltonians with an underlying bounded-degree gra…

quant-ph2023★ 5 cited

On adaptive low-depth quantum algorithms for robust multiple-phase estimation

Haoya Li, Hongkang Ni, Lexing Ying

This paper is an algorithmic study of quantum phase estimation with multiple eigenvalues. We present robust multiple-phase estimation (RMPE) algorithms with Heisenberg-limited scal…

quant-ph2023★ 45 cited

On low-depth algorithms for quantum phase estimation

Hongkang Ni, Haoya Li, Lexing Ying

Quantum phase estimation is one of the critical building blocks of quantum computing. For early fault-tolerant quantum devices, it is desirable for a quantum phase estimation algor…

quant-ph2023★ 18 cited

On efficient quantum block encoding of pseudo-differential operators

Haoya Li, Hongkang Ni, Lexing Ying

Block encoding lies at the core of many existing quantum algorithms. Meanwhile, efficient and explicit block encodings of dense operators are commonly acknowledged as a challenging…

quant-ph2022★ 3 cited

Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits

Jiahao Yao, Haoya Li, Marin Bukov +2

Variational quantum algorithms stand at the forefront of simulations on near-term and future fault-tolerant quantum devices. While most variational quantum algorithms involve only…