187 citations · 395 across the 10 of their papers we have counts for
10 papers
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…
Accelerating variational quantum Monte Carlo using the variational quantum eigensolver
Ashley Montanaro, Stasja Stanisic
Variational Monte Carlo (VMC) methods are used to sample classically from distributions corresponding to quantum states which have an efficient classical description. VMC methods a…
Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer
Stasja Stanisic, Jan Lukas Bosse, Filippo Maria Gambetta +5
The famous, yet unsolved, Fermi-Hubbard model for strongly-correlated electronic systems is a prominent target for quantum computers. However, accurately representing the Fermi-Hub…
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…
Generating entanglement with linear optics
Stasja Stanisic, Noah Linden, Ashley Montanaro +1
Entanglement is the basic building block of linear optical quantum computation, and as such understanding how to generate it in detail is of great importance for optical architectu…
Integrated Silicon Photonics for High-Speed Quantum Key Distribution
Philip Sibson, Jake E. Kennard, Stasja Stanisic +3
Integrated photonics offers great potential for quantum communication devices in terms of complexity, robustness and scalability. Silicon photonics in particular is a leading platf…
Advances in quantum machine learning
Jeremy Adcock, Euan Allen, Matthew Day +7
Here we discuss advances in the field of quantum machine learning. The following document offers a hybrid discussion; both reviewing the field as it is currently, and suggesting di…