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19962026
most citedVariational Quantum Algorithms

3.3k citations · 16.3k across the 118 of their papers we have counts for

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7 papers · 1 filter

quant-ph2020★ 3.3k cited

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★ 535 cited

Hybrid quantum-classical algorithms and quantum error mitigation

Suguru Endo, Zhenyu Cai, Simon C. Benjamin +1

Quantum computers can exploit a Hilbert space whose dimension increases exponentially with the number of qubits. In experiment, quantum supremacy has recently been achieved by the…

quant-ph2020★ 52 cited

Quantum Analytic Descent

Bálint Koczor, Simon C. Benjamin

Variational algorithms have particular relevance for near-term quantum computers but require non-trivial parameter optimisations. Here we propose Analytic Descent: Given that the e…

quant-ph2020★ 19 cited

Tailoring Term Truncations for Electronic Structure Calculations Using a Linear Combination of Unitaries

Richard Meister, Simon C. Benjamin, Earl T. Campbell

A highly anticipated use of quantum computers is the simulation of complex quantum systems including molecules and other many-body systems. One promising method involves directly a…

quant-ph2020★ 211 cited

The prospects of quantum computing in computational molecular biology

Carlos Outeiral, Martin Strahm, Jiye Shi +3

Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts. We have not yet reached the advent of useful quantum computa…

quant-ph2020★ 249 cited

Learning-based quantum error mitigation

Armands Strikis, Dayue Qin, Yanzhu Chen +2

If NISQ-era quantum computers are to perform useful tasks, they will need to employ powerful error mitigation techniques. Quasi-probability methods can permit perfect error compens…

quant-ph2020★ 4 cited

Investigating the potential for a limited quantum speedup on protein lattice problems

Carlos Outeiral, Garrett M. Morris, Jiye Shi +3

Protein folding is a central challenge in computational biology, with important applications in molecular biology, drug discovery and catalyst design. As a hard combinatorial optim…