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pro vyhledávání: '"Kumar, Hersh"'
We apply a variational Ansatz based on neural networks to the problem of spin-$1/2$ fermions in a harmonic trap interacting through a short distance potential. We showed that standard machine learning techniques lead to a quick convergence to the gro
Externí odkaz:
http://arxiv.org/abs/2410.17383
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. These neural network methods are also advantageous in that more vari
Externí odkaz:
http://arxiv.org/abs/2309.02352
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. We find that to compile quantum circuits, using available state-of-the-
Externí odkaz:
http://arxiv.org/abs/2208.11789
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