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20112024
most citedSuppressing quantum errors by scaling a surface code logical qubit

1.1k citations · 7.8k across the 52 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

quant-ph2020★ 69 cited

Accurately computing electronic properties of a quantum ring

C. Neill, T. McCourt, X. Mi +89

A promising approach to study condensed-matter systems is to simulate them on an engineered quantum platform. However, achieving the accuracy needed to outperform classical methods…

quant-ph2020★ 220 cited

Virtual Distillation for Quantum Error Mitigation

William J. Huggins, Sam McArdle, Thomas E. O'Brien +6

Contemporary quantum computers have relatively high levels of noise, making it difficult to use them to perform useful calculations, even with a large number of qubits. Quantum err…

quant-ph2020★ 95 cited

Observation of separated dynamics of charge and spin in the Fermi-Hubbard model

Frank Arute, Kunal Arya, Ryan Babbush +96

Strongly correlated quantum systems give rise to many exotic physical phenomena, including high-temperature superconductivity. Simulating these systems on quantum computers may avo…

quant-ph2020★ 73 cited

Error mitigation via verified phase estimation

Thomas E. O'Brien, Stefano Polla, Nicholas C. Rubin +5

The accumulation of noise in quantum computers is the dominant issue stymieing the push of quantum algorithms beyond their classical counterparts. We do not expect to be able to af…

quant-ph2020★ 76 cited

A state-averaged orbital-optimized hybrid quantum-classical algorithm for a democratic description of ground and excited states

Saad Yalouz, Bruno Senjean, Jakob Günther +3

In the Noisy Intermediate-Scale Quantum (NISQ) era, solving the electronic structure problem from chemistry is considered as the "killer application" for near-term quantum devices.…

quant-ph2020★ 469 cited

Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor

Matthew P. Harrigan, Kevin J. Sung, Matthew Neeley +83

We demonstrate the application of the Google Sycamore superconducting qubit quantum processor to combinatorial optimization problems with the quantum approximate optimization algor…