activity
20122026
most citedQuantum advantage in learning from experiments

544 citations · 653 across the 48 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

quant-ph2021★ 6 cited

A Hierarchy for Replica Quantum Advantage

Sitan Chen, Jordan Cotler, Hsin-Yuan Huang +1

We prove that given the ability to make entangled measurements on at most replicas of an -qubit state simultaneously, there is a property of which requires at least…

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

Exponential separations between learning with and without quantum memory

Sitan Chen, Jordan Cotler, Hsin-Yuan Huang +1

We study the power of quantum memory for learning properties of quantum systems and dynamics, which is of great importance in physics and chemistry. Many state-of-the-art learning…

stat.ML2021

Kalman Filtering with Adversarial Corruptions

Sitan Chen, Frederic Koehler, Ankur Moitra +1

Here we revisit the classic problem of linear quadratic estimation, i.e. estimating the trajectory of a linear dynamical system from noisy measurements. The celebrated Kalman filte…

cs.LG2021★ 1 cited

Efficiently Learning Any One Hidden Layer ReLU Network From Queries

Sitan Chen, Adam R Klivans, Raghu Meka

Model extraction attacks have renewed interest in the classic problem of learning neural networks from queries. In this work we give the first polynomial-time algorithm for learnin…

quant-ph2021★ 5 cited

Toward Instance-Optimal State Certification With Incoherent Measurements

Sitan Chen, Jerry Li, Ryan O'Donnell

We revisit the basic problem of quantum state certification: given copies of unknown mixed state and the description of a mixed state , decide wheth…

cs.LG2021

Symmetric Sparse Boolean Matrix Factorization and Applications

Sitan Chen, Zhao Song, Runzhou Tao +1

In this work, we study a variant of nonnegative matrix factorization where we wish to find a symmetric factorization of a given input matrix into a sparse, Boolean matrix. Formally…