19 citations · 50 across the 5 of their papers we have counts for
5 papers
A Machine Learning Approach to Trapped Many-Fermion Systems
Paulo F. Bedaque, Hersh Kumar, Andy Sheng
We apply a variational Ansatz based on neural networks to the problem of spin- fermions in a harmonic trap interacting through a short distance potential. We showed that stand…
Neural Network Solutions of Bosonic Quantum Systems in One Dimension
Paulo F. Bedaque, Hersh Kumar, Andy Sheng
Neural networks have been proposed as efficient numerical wavefunction ansatze which can be used to variationally search a wide range of functional forms for ground state solutions…
Fuzzy gauge theory for quantum computers
Andrei Alexandru, Paulo F. Bedaque, Andrea Carosso +3
Continuous gauge theories, because of their bosonic degrees of freedom, have an infinite-dimensional local Hilbert space. Encoding these degrees of freedom on qubit-based hardware…
Qubitization strategies for bosonic field theories
Andrei Alexandru, Paulo F. Bedaque, Andrea Carosso +2
Quantum simulations of bosonic field theories require a truncation in field space to map the theory onto finite quantum registers. Ideally, the truncated theory preserves the symme…
Universality of a truncated sigma-model
Andrei Alexandru, Paulo F. Bedaque, Andrea Carosso +1
Bosonic quantum field theories, even when regularized using a finite lattice, possess an infinite dimensional Hilbert space and, therefore, cannot be simulated in quantum computers…