Bose-Hubbard model with a single qubit
R. M. Woloshyn

TL;DR
This paper demonstrates the use of a single-qubit parametrized quantum circuit as an Ansatz for calculating the ground state energy of the 1D Bose-Hubbard model, comparing it to neural network methods and implementing on IBM hardware.
Contribution
It introduces a novel single-qubit quantum Ansatz for the Bose-Hubbard model and compares its performance to neural network approaches and classical computations.
Findings
Single-qubit Ansatz achieves comparable accuracy to neural network methods.
Quantum hardware implementation validates practical feasibility.
Potential for scalable quantum simulation of many-body systems.
Abstract
The use of a single-qubit parametrized circuit as an Ansatz for the variational wave function in the calculation of the ground state energy of a quantum many-body system is demonstrated using the one-dimensional Bose-Hubbard model. Comparison is made to calculations where a classic neural network is used to generate the variational wave function. Computations carried out on IBM Quantum hardware are also presented.
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Taxonomy
TopicsQuantum Information and Cryptography · Cold Atom Physics and Bose-Einstein Condensates · Quantum Computing Algorithms and Architecture
