Quantum annealing correction at finite temperature: ferromagnetic $p$-spin models
Shunji Matsuura, Hidetoshi Nishimori, Walter Vinci, Tameem Albash,, Daniel A. Lidar

TL;DR
This paper analyzes how quantum annealing correction (QAC) improves performance at finite temperatures in ferromagnetic p-spin models, revealing optimal penalty strengths and phase transition effects through statistical physics methods.
Contribution
It provides an analytical study of QAC effects at finite temperature and transverse field, highlighting optimal penalty strengths and phase transition modifications.
Findings
QAC breaks large free energy barriers into smaller ones at low temperatures.
Optimal penalty strength exists when a transverse field on penalty qubits is present.
QAC offers advantages over unencoded quantum annealing, especially at low temperatures.
Abstract
The performance of open-system quantum annealing is adversely affected by thermal excitations out of the ground state. While the presence of energy gaps between the ground and excited states suppresses such excitations, error correction techniques are required to ensure full scalability of quantum annealing. Quantum annealing correction (QAC) is a method that aims to improve the performance of quantum annealers when control over only the problem (final) Hamiltonian is possible, along with decoding. Building on our earlier work [S. Matsuura et al., Phys. Rev. Lett. 116, 220501 (2016)], we study QAC using analytical tools of statistical physics by considering the effects of temperature and a transverse field on the penalty qubits in the ferromagnetic -body infinite-range transverse-field Ising model. We analyze the effect of QAC on second () and first () order phase…
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