activity
20152026
most citedAb-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

492 citations · 691 across the 7 of their papers we have counts for

collaborators

9 papers

quant-ph2026

Low-Overhead Quantum Error Correction with Boundary-Connected Planar Modules

Oscar Higgott, Hasan Sayginel, Francisco J. H. Heras +11

Realizing practical quantum computers requires quantum error correction, but the most widely implemented approach, the planar surface code, demands a substantial physical qubit ove…

cond-mat.quant-gas2026

Uncovering Exotic Paired States in the 2D Spin-Imbalanced Fermi Gas with Neural Wave Functions

Wan Tong Lou, Gino Cassella, Andres Perez Fadon +5

We study the zero-temperature phase diagram of the 2D spin-imbalanced Fermi gas with short-ranged attractive interactions using the recently developed neural network variational Mo…

cond-mat.str-el2025

Extracting Anyon Statistics from Neural Network Fractional Quantum Hall States

Andres Perez Fadon, David Pfau, James S. Spencer +3

Fractional quantum Hall states host emergent anyons with exotic exchange statistics, but obtaining direct access to their topological properties in real systems remains a challenge…

quant-ph2025★ 2 cited

A scalable and real-time neural decoder for topological quantum codes

Andrew W. Senior, Thomas Edlich, Francisco J. H. Heras +21

Fault-tolerant quantum computing will require error rates far below those achievable with physical qubits. Quantum error correction (QEC) bridges this gap, but depends on decoders…

quant-ph2025

Reinforcement Learning Control of Quantum Error Correction

Volodymyr Sivak, Alexis Morvan, Michael Broughton +296

Quantum error correction (QEC) is the primary strategy for protecting a quantum computer from the environment. Its prerequisite is that errors must remain sufficiently rare, which…

physics.comp-ph2023

Neural network variational Monte Carlo for positronic chemistry

G. Cassella, W. M. C. Foulkes, D. Pfau +1

Quantum chemical calculations of the ground-state properties of positron-molecule complexes are challenging. The main difficulty lies in employing an appropriate basis set for repr…

physics.chem-ph2019★ 492 cited

Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

David Pfau, James S. Spencer, Alexander G. de G. Matthews +1

Given access to accurate solutions of the many-electron Schrödinger equation, nearly all chemistry could be derived from first principles. Exact wavefunctions of interesting chemic…

cond-mat.str-el2016★ 114 cited

Accurate exchange-correlation energies for the warm dense electron gas

Fionn D. Malone, N. S. Blunt, Ethan W. Brown +4

Density matrix quantum Monte Carlo (DMQMC) is used to sample exact-on-average -body density matrices for uniform electron gas systems of up to 10 matrix elements via a s…

cond-mat.str-el2015★ 83 cited

Interaction Picture Density Matrix Quantum Monte Carlo

Fionn D. Malone, N. S. Blunt, James J. Shepherd +3

The recently developed density matrix quantum Monte Carlo (DMQMC) algorithm stochastically samples the N -body thermal density matrix and hence provides access to exact properties…