175 citations · 347 across the 6 of their papers we have counts for
6 papers
Making Trotters Sprint: A Variational Imaginary Time Ansatz for Quantum Many-body Systems
Matthew J. S. Beach, Roger G. Melko, Tarun Grover +1
We introduce a variational wavefunction for many-body ground states that involves imaginary time evolution with two different Hamiltonians in an alternating fashion with variable t…
QuCumber: wavefunction reconstruction with neural networks
Matthew J. S. Beach, Isaac De Vlugt, Anna Golubeva +6
As we enter a new era of quantum technology, it is increasingly important to develop methods to aid in the accurate preparation of quantum states for a variety of materials, matter…
Super-resolving the Ising model with convolutional neural networks
Stavros Efthymiou, Matthew J. S. Beach, Roger G. Melko
Machine learning is becoming widely used in condensed matter physics. Inspired by the concept of image super-resolution, we propose a method to increase the size of lattice spin co…
Machine learning vortices at the Kosterlitz-Thouless transition
Matthew J. S. Beach, Anna Golubeva, Roger G. Melko
Efficient and automated classification of phases from minimally processed data is one goal of machine learning in condensed matter and statistical physics. Supervised algorithms tr…
Entanglement entropy from one-point functions in holographic states
Matthew J. S. Beach, Jaehoon Lee, Charles Rabideau +1
For holographic CFT states near the vacuum, entanglement entropies for spatial subsystems can be expressed perturbatively as an expansion in the one-point functions of local operat…
Self-force on a charge outside a five-dimensional black hole
Matthew J. S. Beach, Eric Poisson, Bernhard G. Nickel
We compute the electromagnetic self-force acting on a charged particle held in place at a fixed position r outside a five-dimensional black hole described by the Schwarzschild-Tang…