Andrew Arrasmith
Andrew Arrasmith
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Cited by
Cited by
Variational quantum algorithms
M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ...
Nature Reviews Physics 3 (9), 625-644, 2021
Error mitigation with Clifford quantum-circuit data
P Czarnik, A Arrasmith, PJ Coles, L Cincio
Quantum 5, 592, 2021
Effect of barren plateaus on gradient-free optimization
A Arrasmith, M Cerezo, P Czarnik, L Cincio, PJ Coles
Quantum 5, 558, 2021
An adaptive optimizer for measurement-frugal variational algorithms
JM Kübler, A Arrasmith, L Cincio, PJ Coles
Quantum 4, 263, 2020
Barren plateaus preclude learning scramblers
Z Holmes, A Arrasmith, B Yan, PJ Coles, A Albrecht, AT Sornborger
Physical Review Letters 126 (19), 190501, 2021
Variational consistent histories as a hybrid algorithm for quantum foundations
A Arrasmith, L Cincio, AT Sornborger, WH Zurek, PJ Coles
Nature communications 10 (1), 3438, 2019
Variational quantum state eigensolver
M Cerezo, K Sharma, A Arrasmith, PJ Coles
npj Quantum Information 8 (1), 113, 2022
Operator sampling for shot-frugal optimization in variational algorithms
A Arrasmith, L Cincio, RD Somma, PJ Coles
arXiv preprint arXiv:2004.06252, 2020
Equivalence of quantum barren plateaus to cost concentration and narrow gorges
A Arrasmith, Z Holmes, M Cerezo, PJ Coles
Quantum Science and Technology 7 (4), 045015, 2022
Unified approach to data-driven quantum error mitigation
A Lowe, MH Gordon, P Czarnik, A Arrasmith, PJ Coles, L Cincio
Physical Review Research 3 (3), 033098, 2021
Correlation-informed permutation of qubits for reducing ansatz depth in the variational quantum eigensolver
NV Tkachenko, J Sud, Y Zhang, S Tretiak, PM Anisimov, AT Arrasmith, ...
PRX Quantum 2 (2), 020337, 2021
Can error mitigation improve trainability of noisy variational quantum algorithms?
S Wang, P Czarnik, A Arrasmith, M Cerezo, L Cincio, PJ Coles
arXiv preprint arXiv:2109.01051, 2021
Entangled datasets for quantum machine learning
L Schatzki, A Arrasmith, PJ Coles, M Cerezo
arXiv preprint arXiv:2109.03400, 2021
Long-time simulations with high fidelity on quantum hardware
J Gibbs, K Gili, Z Holmes, B Commeau, A Arrasmith, L Cincio, PJ Coles, ...
arXiv preprint arXiv:2102.04313, 2021
Variational quantum algorithms (2020)
M Cerezo, A Arrasmith, R Babbush, SC Benjamin, S Endo, K Fujii, ...
arXiv preprint arXiv:2012.09265, 2012
Qubit-efficient exponential suppression of errors
P Czarnik, A Arrasmith, L Cincio, PJ Coles
arXiv preprint arXiv:2102.06056, 2021
Unifying and benchmarking state-of-the-art quantum error mitigation techniques
D Bultrini, MH Gordon, P Czarnik, A Arrasmith, PJ Coles, L Cincio
arXiv preprint arXiv:2107.13470, 2021
Decoherence of black hole superpositions by Hawking radiation
A Arrasmith, A Albrecht, WH Zurek
Nature communications 10 (1), 1024, 2019
Optimizing parametrized quantum circuits via noise-induced breaking of symmetries
E Fontana, M Cerezo, A Arrasmith, I Rungger, PJ Coles
arXiv preprint arXiv:2011.08763, 2020
Adaptive shot allocation for fast convergence in variational quantum algorithms
A Gu, A Lowe, PA Dub, PJ Coles, A Arrasmith
arXiv preprint arXiv:2108.10434, 2021
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