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20172026
most citedA rigorous and robust quantum speed-up in supervised machine learning

544 citations · 1.2k across the 20 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

quant-ph2024★ 3 cited

Learning quantum states prepared by shallow circuits in polynomial time

Zeph Landau, Yunchao Liu

We give a polynomial time algorithm that, given copies of an unknown quantum state that is prepared by an unknown constant depth circuit on a…

quant-ph2024★ 5 cited

Incompressibility and spectral gaps of random circuits

Chi-Fang Chen, Jeongwan Haah, Jonas Haferkamp +3

Random reversible and quantum circuits form random walks on the alternating group and unitary group , respectively. Known bounds on the spectr…

quant-ph2024★ 9 cited

A generalized cycle benchmarking algorithm for characterizing mid-circuit measurements

Zhihan Zhang, Senrui Chen, Yunchao Liu +1

Mid-circuit measurements (MCMs) are crucial ingredients in the development of fault-tolerant quantum computation. While there have been rapid experimental progresses in realizing M…

quant-ph2024★ 10 cited

Quantum computational advantage with constant-temperature Gibbs sampling

Thiago Bergamaschi, Chi-Fang Chen, Yunchao Liu

A quantum system coupled to a bath at some fixed, finite temperature converges to its Gibbs state. This thermalization process defines a natural, physically-motivated model of quan…

quant-ph2024★ 4 cited

Efficient approximate unitary designs from random Pauli rotations

Jeongwan Haah, Yunchao Liu, Xinyu Tan

We construct random walks on simple Lie groups that quickly converge to the Haar measure for all moments up to order . Specifically, a step of the walk on the unitary or orthogn…

quant-ph2024★ 24 cited

Learning shallow quantum circuits

Hsin-Yuan Huang, Yunchao Liu, Michael Broughton +4

Despite fundamental interests in learning quantum circuits, the existence of a computationally efficient algorithm for learning shallow quantum circuits remains an open question. B…