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Towards a Quantum Simulation of Nonlinear Sigma Models with a Topological Term

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arxiv 2210.03679 v2 pith:JYGWOKRN submitted 2022-10-07 quant-ph hep-lathep-phhep-th

classification quant-phhep-lathep-phhep-th
keywords quantumalgorithmsnetworknonlinearsigmasimulationtensorterm
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We determine the mass gap of a two-dimensional $O(3)$ nonlinear sigma model augmented with a topological $\theta$-term using tensor network and digital quantum algorithms. As proof of principle, we consider the example $\theta = \pi$ and study its critical behaviour on a quantum simulator by examining the entanglement entropy of the ground state. We confirm that the quantum theory is massless in the strong-coupling regime, in agreement with analytical results. However, we also highlight the limitations of current quantum algorithms, designed for noisy intermediate-scale quantum devices, in the theory simulation at weak coupling. Finally, we compare the performance of our quantum algorithms to classical tensor network methods.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States

    quant-ph 2025-06 conditional novelty 6.0 of 10

    A normalising-flow-assisted neural quantum state method estimates ground state energies of Ising chains with up to 50 spins, matching matrix product states for long-range interactions.

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