11 citations · 23 across the 6 of their papers we have counts for
6 papers
Dynamic Induction of Lattice Gauge Theories on a Quantum Computer
Barbara Andrade, Declan Millar, Lewis Anderson +5
Gauge invariance is central to modern physics and underpins quantum simulations of lattice gauge theories (LGTs). Existing quantum simulation approaches employ Gauss's law either t…
Variational preparation of normal matrix product states on quantum computers
Ben Jaderberg, George Pennington, Kate V. Marshall +6
Preparing matrix product states (MPSs) on quantum computers is an essential routine in the simulation of many-body physics. However, widely-used schemes based on staircase circuits…
Partitioned Quantum Subspace Expansion
Tom O'Leary, Lewis W. Anderson, Dieter Jaksch +1
We present an iterative generalisation of the quantum subspace expansion algorithm used with a Krylov basis. The iterative construction connects a sequence of subspaces via their l…
Solving lattice gauge theories using the quantum Krylov algorithm and qubitization
Lewis W. Anderson, Martin Kiffner, Tom O'Leary +2
Computing vacuum states of lattice gauge theories (LGTs) containing fermionic degrees of freedom can present significant challenges for classical computation using Monte-Carlo meth…
Coarse grained intermolecular interactions on quantum processors
Lewis W. Anderson, Martin Kiffner, Panagiotis Kl. Barkoutsos +3
Variational quantum algorithms (VQAs) are increasingly being applied in simulations of strongly-bound (covalently bonded) systems using full molecular orbital basis representations…
Quantum Self-Supervised Learning
Ben Jaderberg, Lewis W. Anderson, Weidi Xie +3
The resurgence of self-supervised learning, whereby a deep learning model generates its own supervisory signal from the data, promises a scalable way to tackle the dramatically inc…