activity
20152021
most citedQuantum advantage in learning from experiments

544 citations · 945 across the 28 of their papers we have counts for

collaborators

30 papers

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…

cs.SE2021★ 1 cited

BERT_SE: A Pre-trained Language Representation Model for Software Engineering

Eliane Maria De Bortoli Fávero, Dalcimar Casanova

The application of Natural Language Processing (NLP) has achieved a high level of relevance in several areas. In the field of software engineering (SE), NLP applications are based…

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…

cs.DS2021★ 7 cited

Robust Regression Revisited: Acceleration and Improved Estimation Rates

Arun Jambulapati, Jerry Li, Tselil Schramm +1

We study fast algorithms for statistical regression problems under the strong contamination model, where the goal is to approximately optimize a generalized linear model (GLM) give…

cs.DS2021

The Price of Tolerance in Distribution Testing

Clément L. Canonne, Ayush Jain, Gautam Kamath +1

We revisit the problem of tolerant distribution testing. That is, given samples from an unknown distribution over , is it -close to or $\varepsi…