36 citations · 37 across the 6 of their papers we have counts for
6 papers
Neural Wavefunctions in Quantum Field Theory I: Asymptotic Freedom
Paulo F. Bedaque, Hersh Kumar, Suryansh Rajawat +1
We present a variational approach to quantum field theory based on wavefunctions parameterized by neural networks. While variational methods have a celebrated history across many f…
Trapped Fermions Through Kolmogorov-Arnold Wavefunctions
Paulo F. Bedaque, Jacob Cigliano, Hersh Kumar +2
We investigate a variational Monte Carlo framework for trapped one-dimensional mixture of spin- fermions using Kolmogorov-Arnold networks (KANs) to construct universal…
Kolmogorov-Arnold Wavefunctions
Paulo F. Bedaque, Jacob Cigliano, Hersh Kumar +2
This work investigates Kolmogorov-Arnold network-based wavefunction ansatz as viable representations for quantum Monte Carlo simulations. Through systematic analysis of one-dimensi…
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…
How many quantum gates do gauge theories require?
Edison M. Murairi, Michael J. Cervia, Hersh Kumar +2
We discuss the implementation of lattice gauge theories on digital quantum computers, focusing primarily on the number of quantum gates required to simulate their time evolution. W…