Richard Kueng | DeepAI

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∙ 05/09/2023

On the average-case complexity of learning output distributions of quantum circuits

In this work, we show that learning the output distributions of brickwor...

0 Alexander Nietner, et al. ∙

∙ 01/30/2023

Improved machine learning algorithm for predicting ground state properties

Finding the ground state of a quantum many-body system is a fundamental ...

0 Laura Lewis, et al. ∙

∙ 12/01/2021

Quantum advantage in learning from experiments

Quantum technology has the potential to revolutionize how we acquire and...

11 Hsin-Yuan Huang, et al. ∙

∙ 06/23/2021

Provably efficient machine learning for quantum many-body problems

Classical machine learning (ML) provides a potentially powerful approach...

0 Hsin-Yuan Huang, et al. ∙

∙ 06/08/2021

Proof methods for robust low-rank matrix recovery

Low-rank matrix recovery problems arise naturally as mathematical formul...

0 Tim Fuchs, et al. ∙

∙ 05/12/2021

Sketching with Kerdock's crayons: Fast sparsifying transforms for arbitrary linear maps

Given an arbitrary matrix A∈ℝ^n× n, we consider the fundamental problem ...

0 Tim Fuchs, et al. ∙

∙ 03/12/2021

Efficient estimation of Pauli observables by derandomization

We consider the problem of jointly estimating expectation values of many...

0 Hsin-Yuan Huang, et al. ∙

∙ 01/07/2021

Information-theoretic bounds on quantum advantage in machine learning

We study the complexity of training classical and quantum machine learni...

0 Hsin-Yuan Huang, et al. ∙

∙ 12/03/2020

Characteristics of Reversible Circuits for Error Detection

In this work, we consider error detection via simulation for reversible ...

0 Lukas Burgholzer, et al. ∙

∙ 09/17/2020

Fast and robust quantum state tomography from few basis measurements

Quantum state tomography is a powerful, but resource-intensive, general ...

0 Fernando G. S. L. Brandao, et al. ∙

∙ 07/13/2020

Mixed-state entanglement from local randomized measurements

We propose a method for detecting bipartite entanglement in a many-body ...

0 Andreas Elben, et al. ∙

∙ 02/18/2020

Predicting Many Properties of a Quantum System from Very Few Measurements

Predicting properties of complex, large-scale quantum systems is essenti...

0 Hsin-Yuan Huang, et al. ∙

∙ 09/10/2019

Faster quantum and classical SDP approximations for quadratic binary optimization

We give a quantum speedup for solving the canonical semidefinite program...

0 Fernando G. S. L. Brandao, et al. ∙

∙ 08/23/2019

Predicting Features of Quantum Systems using Classical Shadows

Predicting features of complex, large-scale quantum systems is essential...

0 Hsin-Yuan Huang, et al. ∙

∙ 07/31/2019

Binary Component Decomposition Part I: The Positive-Semidefinite Case

This paper studies the problem of decomposing a low-rank positive-semide...

0 Richard Kueng, et al. ∙

∙ 07/31/2019

Binary component decomposition Part II: The asymmetric case

This paper studies the problem of decomposing a low-rank matrix into a f...

0 Richard Kueng, et al. ∙

∙ 12/19/2018

Derandomizing compressed sensing with combinatorial design

Compressed sensing is the art of reconstructing structured n-dimensional...

0 Peter Jung, et al. ∙

∙ 09/28/2018

Fast state tomography with optimal error bounds

Projected least squares (PLS) is an intuitive and numerically cheap tech...

0 Madalin Guta, et al. ∙

∙ 08/27/2018

Fair redistricting is hard

Gerrymandering is a long-standing issue within the U.S. political system...

0 Richard Kueng, et al. ∙

∙ 03/01/2018

Recovering quantum gates from few average gate fidelities

Characterising quantum processes is a key task in and constitutes a chal...

0 Ingo Roth, et al. ∙

∙ 11/17/2014

A unifying framework for relaxations of the causal assumptions in Bell's theorem

Bell's Theorem shows that quantum mechanical correlations can violate th...

0 Rafael Chaves, et al. ∙

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