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20172021
most citedOperator Sampling for Shot-frugal Optimization in Variational Algorithms

30 citations · 36 across the 2 of their papers we have counts for

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quant-ph20216 cited

Qubit-efficient exponential suppression of errors

Piotr Czarnik, Andrew Arrasmith, Lukasz Cincio +1

Achieving a practical advantage with near-term quantum computers hinges on having effective methods to suppress errors. Recent breakthroughs have introduced methods capable of expo…

quant-ph2021

Long-time simulations with high fidelity on quantum hardware

Joe Gibbs, Kaitlin Gili, Zoë Holmes +5

Moderate-size quantum computers are now publicly accessible over the cloud, opening the exciting possibility of performing dynamical simulations of quantum systems. However, while…

quant-ph2020

Variational Quantum Algorithms

M. Cerezo, Andrew Arrasmith, Ryan Babbush +8

Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers due to the extremely high co…

quant-ph2020

Effect of barren plateaus on gradient-free optimization

Andrew Arrasmith, M. Cerezo, Piotr Czarnik +2

Barren plateau landscapes correspond to gradients that vanish exponentially in the number of qubits. Such landscapes have been demonstrated for variational quantum algorithms and q…

quant-ph2020

Unified approach to data-driven quantum error mitigation

Angus Lowe, Max Hunter Gordon, Piotr Czarnik +3

Achieving near-term quantum advantage will require effective methods for mitigating hardware noise. Data-driven approaches to error mitigation are promising, with popular examples…

quant-ph202030 cited

Operator Sampling for Shot-frugal Optimization in Variational Algorithms

Andrew Arrasmith, Lukasz Cincio, Rolando D. Somma +1

Quantum chemistry is a near-term application for quantum computers. This application may be facilitated by variational quantum-classical algorithms (VQCAs), although a concern for…