no code implementations • 9 May 2023 • Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp

In this work, we show that learning the output distributions of brickwork random quantum circuits is average-case hard in the statistical query model.

no code implementations • 30 Jan 2023 • Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill

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

1 code implementation • 1 Dec 2021 • Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean

Quantum technology has the potential to revolutionize how we acquire and process experimental data to learn about the physical world.

3 code implementations • 23 Jun 2021 • Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill

In this work, we prove that classical ML algorithms can efficiently predict ground state properties of gapped Hamiltonians in finite spatial dimensions, after learning from data obtained by measuring other Hamiltonians in the same quantum phase of matter.

no code implementations • 12 Mar 2021 • Antoine Neven, Jose Carrasco, Vittorio Vitale, Christian Kokail, Andreas Elben, Marcello Dalmonte, Pasquale Calabrese, Peter Zoller, Benoît Vermersch, Richard Kueng, Barbara Kraus

We propose an ordered set of experimentally accessible conditions for detecting entanglement in mixed states.

Quantum Physics Statistical Mechanics

1 code implementation • 7 Jan 2021 • Hsin-Yuan Huang, Richard Kueng, John Preskill

We prove that for any input distribution $\mathcal{D}(x)$, a classical ML model can provide accurate predictions on average by accessing $\mathcal{E}$ a number of times comparable to the optimal quantum ML model.

no code implementations • 10 Dec 2020 • Stefan Hillmich, Richard Kueng, Igor L. Markov, Robert Wille

Quantum computers promise to solve important problems faster than conventional computers.

Quantum Physics

2 code implementations • 10 Dec 2020 • Thomas Grurl, Richard Kueng, Jürgen Fuß, Robert Wille

Recent years have seen unprecedented advance in the design and control of quantum computers.

Quantum Physics

no code implementations • 3 Dec 2020 • Lukas Burgholzer, Robert Wille, Richard Kueng

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

Hardware Architecture Emerging Technologies

1 code implementation • 14 Nov 2020 • Lukas Burgholzer, Richard Kueng, Robert Wille

Verification of quantum circuits is essential for guaranteeing correctness of quantum algorithms and/or quantum descriptions across various levels of abstraction.

Quantum Physics Emerging Technologies

no code implementations • 26 Aug 2020 • Chi-Fang Chen, Hsin-Yuan Huang, Richard Kueng, Joel A. Tropp

qDRIFT achieves a gate count that does not explicitly depend on the number of terms in the Hamiltonian, which contrasts with Suzuki formulas.

Quantum Physics Probability

4 code implementations • 18 Feb 2020 • Hsin-Yuan Huang, Richard Kueng, John Preskill

This description, called a classical shadow, can be used to predict many different properties: order $\log M$ measurements suffice to accurately predict $M$ different functions of the state with high success probability.

no code implementations • 23 Aug 2019 • Hsin-Yuan Huang, Richard Kueng

Predicting features of complex, large-scale quantum systems is essential to the characterization and engineering of quantum architectures.

1 code implementation • 1 Mar 2018 • Ingo Roth, Richard Kueng, Shelby Kimmel, Yi-Kai Liu, David Gross, Jens Eisert, Martin Kliesch

For the important case of characterising multi-qubit unitary gates, we provide a rigorously guaranteed and practical reconstruction method that works with an essentially optimal number of average gate fidelities measured respect to random Clifford unitaries.

Quantum Physics Information Theory Information Theory

no code implementations • 17 Nov 2014 • Rafael Chaves, Richard Kueng, Jonatan Bohr Brask, David Gross

Bell's Theorem shows that quantum mechanical correlations can violate the constraints that the causal structure of certain experiments impose on any classical explanation.

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