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20162026
most citedMachine Learning Topological States

295 citations · 513 across the 18 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

quant-ph2021★ 6 cited

Hard instance learning for quantum adiabatic prime factorization

Jian Lin, Zhengfeng Zhang, Junping Zhang +1

Prime factorization is a difficult problem with classical computing, whose exponential hardness is the foundation of Rivest-Shamir-Adleman (RSA) cryptography. With programmable qua…

quant-ph2021★ 1 cited

Fermion Sampling Made More Efficient

Haoran Sun, Jie Zou, Xiaopeng Li

Fermion sampling is to generate probability distribution of a many-body Slater-determinant wavefunction, which is termed "determinantal point process" in statistical analysis. For…

cond-mat.stat-mech2021

Peratic Phase Transition by Bulk-to-Surface Response

Xingze Qiu, Hai Wang, Wei Xia +1

The study of dynamical phase transitions has been attracting considerable research efforts in the last decade. One theme of present interest is to search for exotic scenarios beyon…

quant-ph2021★ 37 cited

The Reservoir Learning Power across Quantum Many-Boby Localization Transition

Wei Xia, Jie Zou, Xingze Qiu +1

Harnessing the quantum computation power of the present noisy-intermediate-size-quantum devices has received tremendous interest in the last few years. Here we study the learning p…

cond-mat.quant-gas2021★ 1 cited

Quantum Adiabatic Doping for Atomic Fermi-Hubbard Quantum Simulations

Jue Nan, Jian Lin, Yuchen Luo +2

There have been considerable research efforts devoted to quantum simulations of Fermi-Hubbard model with ultracold atoms loaded in optical lattices. In such experiments, the antife…