activity
20172026
most citedSuppressing quantum errors by scaling a surface code logical qubit

1.1k citations · 7.6k across the 58 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

quant-ph2021★ 51 cited

Efficient quantum computation of molecular forces and other energy gradients

Thomas E. O'Brien, Michael Streif, Nicholas C. Rubin +12

While most work on the quantum simulation of chemistry has focused on computing energy surfaces, a similarly important application requiring subtly different algorithms is the comp…

quant-ph2021★ 47 cited

Nearly Optimal Quantum Algorithm for Estimating Multiple Expectation Values

William J. Huggins, Kianna Wan, Jarrod McClean +3

Many quantum algorithms involve the evaluation of expectation values. Optimal strategies for estimating a single expectation value are known, requiring a number of state preparatio…

quant-ph2021★ 359 cited

Observation of Time-Crystalline Eigenstate Order on a Quantum Processor

Xiao Mi, Matteo Ippoliti, Chris Quintana +102

Quantum many-body systems display rich phase structure in their low-temperature equilibrium states. However, much of nature is not in thermal equilibrium. Remarkably, it was recent…

quant-ph2021★ 212 cited

Unbiasing Fermionic Quantum Monte Carlo with a Quantum Computer

William J. Huggins, Bryan A. O'Gorman, Nicholas C. Rubin +3

Many-electron problems pose some of the greatest challenges in computational science, with important applications across many fields of modern science. Fermionic quantum Monte Carl…

quant-ph2021★ 16 cited

What the foundations of quantum computer science teach us about chemistry

Jarrod R. McClean, Nicholas C. Rubin, Joonho Lee +5

With the rapid development of quantum technology, one of the leading applications is the simulation of chemistry. Interestingly, even before full scale quantum computers are availa…

quant-ph2021★ 21 cited

Realizing topologically ordered states on a quantum processor

K. J. Satzinger, Y. Liu, A. Smith +95

The discovery of topological order has revolutionized the understanding of quantum matter in modern physics and provided the theoretical foundation for many quantum error correctin…

quant-ph2021★ 20 cited

Mutual Information Scaling for Tensor Network Machine Learning

Ian Convy, William Huggins, Haoran Liao +1

Tensor networks have emerged as promising tools for machine learning, inspired by their widespread use as variational ansatze in quantum many-body physics. It is well known that th…

quant-ph2021★ 410 cited

Exponential suppression of bit or phase flip errors with repetitive error correction

Zijun Chen, Kevin J. Satzinger, Juan Atalaya +88

Realizing the potential of quantum computing will require achieving sufficiently low logical error rates. Many applications call for error rates in the regime, but state…

quant-ph2021★ 304 cited

Information Scrambling in Computationally Complex Quantum Circuits

Xiao Mi, Pedram Roushan, Chris Quintana +90

Interaction in quantum systems can spread initially localized quantum information into the many degrees of freedom of the entire system. Understanding this process, known as quantu…