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20152026
most citedVariational Quantum Algorithms

3.3k citations · 9.3k across the 45 of their papers we have counts for

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Showing 2020Show all

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★ 47 cited

Variational quantum simulations of stochastic differential equations

Kenji Kubo, Yuya O. Nakagawa, Suguru Endo +1

Stochastic differential equations (SDEs), which models uncertain phenomena as the time evolution of random variables, are exploited in various fields of natural and social sciences…

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★ 138 cited

Quantum error mitigation as a universal error-minimization technique: applications from NISQ to FTQC eras

Yasunari Suzuki, Suguru Endo, Keisuke Fujii +1

In the early years of fault-tolerant quantum computing (FTQC), it is expected that the available code distance and the number of magic states will be restricted due to the limited…

quant-ph2020★ 29 cited

Relationship between costs for quantum error mitigation and non-Markovian measures

Hideaki Hakoshima, Yuichiro Matsuzaki, Suguru Endo

Quantum error mitigation (QEM) has been proposed as an alternative method of quantum error correction to compensate errors in quantum systems without qubit overhead. While Markovia…

quant-ph2020★ 24 cited

Boltzmann machine learning with a variational quantum algorithm

Yuta Shingu, Yuya Seki, Shohei Watabe +5

Boltzmann machine is a powerful tool for modeling probability distributions that govern the training data. A thermal equilibrium state is typically used for Boltzmann machine learn…

quant-ph2020★ 92 cited

Mitigating realistic noise in practical noisy intermediate-scale quantum devices

Jinzhao Sun, Xiao Yuan, Takahiro Tsunoda +3

Quantum error mitigation (QEM) is vital for noisy intermediate-scale quantum (NISQ) devices. While most conventional QEM schemes assume discrete gate-based circuits with noise appe…