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20122026
most citedPredicting Many Properties of a Quantum System from Very Few Measurements

1.2k citations · 4.9k across the 66 of their papers we have counts for

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Showing 2021 · quant-phShow all

7 papers · 2 filters

quant-ph2021★ 544 cited

Quantum advantage in learning from experiments

Hsin-Yuan Huang, Michael Broughton, Jordan Cotler +8

Quantum technology has the potential to revolutionize how we acquire and process experimental data to learn about the physical world. An experimental setup that transduces data fro…

quant-ph2021★ 42 cited

Projected Least-Squares Quantum Process Tomography

Trystan Surawy-Stepney, Jonas Kahn, Richard Kueng +1

We propose and investigate a new method of quantum process tomography (QPT) which we call projected least squares (PLS). In short, PLS consists of first computing the least-squares…

quant-ph2021★ 240 cited

Provably efficient machine learning for quantum many-body problems

Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai +2

Classical machine learning (ML) provides a potentially powerful approach to solving challenging quantum many-body problems in physics and chemistry. However, the advantages of ML o…

quant-ph2021★ 191 cited

Efficient estimation of Pauli observables by derandomization

Hsin-Yuan Huang, Richard Kueng, John Preskill

We consider the problem of jointly estimating expectation values of many Pauli observables, a crucial subroutine in variational quantum algorithms. Starting with randomized measure…

quant-ph2021★ 201 cited

Symmetry-resolved entanglement detection using partial transpose moments

Antoine Neven, Jose Carrasco, Vittorio Vitale +8

We propose an ordered set of experimentally accessible conditions for detecting entanglement in mixed states. The -th condition involves comparing moments of the partially trans…

quant-ph2021★ 42 cited

Randomizing multi-product formulas for Hamiltonian simulation

Paul K. Faehrmann, Mark Steudtner, Richard Kueng +2

Quantum simulation, the simulation of quantum processes on quantum computers, suggests a path forward for the efficient simulation of problems in condensed-matter physics, quantum…

quant-ph2021★ 269 cited

Information-theoretic bounds on quantum advantage in machine learning

Hsin-Yuan Huang, Richard Kueng, John Preskill

We study the performance of classical and quantum machine learning (ML) models in predicting outcomes of physical experiments. The experiments depend on an input parameter and…