Quantum computation of energy level degeneracy and thermodynamical properties of spin systems

We propose a hybrid quantum-classical method for reconstructing energy-level degeneracies and thermodynamic properties of spin systems. A single ancilla qubit is used to measure the partition function at imaginary inverse temperatures. For spectra lying on a known equally spaced energy grid, the inverse discrete Fourier transform allows exact reconstruction of degeneracies in the absence of noise, without spectral leakage. The quantum circuits are optimized using commuting interactions and Eulerian ordering. We demonstrate the method for frustrated Ising antiferromagnets on periodic Kagome graphs with up to 36 spins, using the ibm_kingston quantum processor. Despite substantial circuit depth and hardware noise, the reconstructed spectra retain their dominant features, and the calculated heat capacities reproduce the main temperature dependence of the exact results. Keywords: partition function, imaginary temperature, Ising model, heat capacity, ancilla qubit, quantum computing.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-26
DOI
https://doi.org/10.48550/arxiv.2610.35660
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
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preprint

Quantum computation of energy level degeneracy and thermodynamical properties of spin systems

V. M. Tkachuk, M. I. Samar
arXiv (Cornell University)
Quantum Computing Algorithms and Architecture
preprint

Quantum computation of energy level degeneracy and thermodynamical properties of spin systems

V. M. Tkachuk, M. I. Samar
preprint en

Abstract

We propose a hybrid quantum-classical method for reconstructing energy-level degeneracies and thermodynamic properties of spin systems. A single ancilla qubit is used to measure the partition function at imaginary inverse temperatures. For spectra lying on a known equally spaced energy grid, the inverse discrete Fourier transform allows exact reconstruction of degeneracies in the absence of noise, without spectral leakage. The quantum circuits are optimized using commuting interactions and Eulerian ordering. We demonstrate the method for frustrated Ising antiferromagnets on periodic Kagome graphs with up to 36 spins, using the ibm_kingston quantum processor. Despite substantial circuit depth and hardware noise, the reconstructed spectra retain their dominant features, and the calculated heat capacities reproduce the main temperature dependence of the exact results. Keywords: partition function, imaginary temperature, Ising model, heat capacity, ancilla qubit, quantum computing.

arXiv (Cornell University)
Quantum Computing Algorithms and Architecture
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Quantum computation of energy level degeneracy and thermodynamical properties of spin systems — V. M. Tkachuk, M. I. Samar · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS