16 citations · 22 across the 2 of their papers we have counts for
4 papers
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…
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…
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…
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…