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20182024
most citedError mitigation by training with fermionic linear optics

16 citations · 23 across the 3 of their papers we have counts for

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quant-ph20241 cited

Quantum Phase Estimation without Controlled Unitaries

Laura Clinton, Toby S. Cubitt, Raul Garcia-Patron +3

In this work we demonstrate the use of adapted classical phase retrieval algorithms to perform control-free quantum phase estimation. We eliminate the costly controlled time evolut…

quant-ph202116 cited

Error mitigation by training with fermionic linear optics

Ashley Montanaro, Stasja Stanisic

Noisy intermediate-scale quantum (NISQ) computers could solve quantum-mechanical simulation problems that are beyond the capabilities of classical computers. However, NISQ devices…

quant-ph20206 cited

Compressed variational quantum eigensolver for the Fermi-Hubbard model

Ashley Montanaro, Stasja Stanisic

The Fermi-Hubbard model is a plausible target to be solved by a quantum computer using the variational quantum eigensolver algorithm. However, problem sizes beyond the reach of cla…

quant-ph2019

Strategies for solving the Fermi-Hubbard model on near-term quantum computers

Chris Cade, Lana Mineh, Ashley Montanaro +1

The Fermi-Hubbard model is of fundamental importance in condensed-matter physics, yet is extremely challenging to solve numerically. Finding the ground state of the Hubbard model u…

quant-ph2018

Discriminating distinguishability

Stasja Stanisic, Peter S. Turner

Particle distinguishability is a significant challenge for quantum technologies, in particular photonics where the Hong-Ou-Mandel (HOM) effect clearly demonstrates it is detrimenta…