Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling

NA Rodríguez-Briones, DK Park - arXiv preprint arXiv:2501.02687, 2025 - arxiv.org
This work introduces an approach rooted in quantum thermodynamics to enhance sampling
efficiency in quantum machine learning (QML). We propose conceptualizing quantum …

Quantum energy teleportation in phase space quantum mechanics

M Sánchez-Córdova, J Berra-Montiel - The European Physical Journal …, 2024 - Springer
In this paper, we investigate the quantum energy teleportation protocol within the phase
space formulation of quantum mechanics. By employing the Wigner quasi-probability …

Expressivity of deterministic quantum computation with one qubit

Y Kim, DK Park - arXiv preprint arXiv:2411.02751, 2024 - arxiv.org
Deterministic quantum computation with one qubit (DQC1) is of significant theoretical and
practical interest due to its computational advantages in certain problems, despite its …

Efficiently Cooling Quantum Systems with Finite Resources: Insights from Thermodynamic Geometry

P Taranto, P Lipka-Bartosik… - arXiv preprint arXiv …, 2024 - arxiv.org
Landauer's universal limit on heat dissipation during information erasure becomes
increasingly crucial as computing devices shrink: minimising heat-induced errors demands …

Demonstration of system-bath physics on gate-based quantum computer

P Stadler, M Lodi, A Khedri, R Reiner, K Bark… - arXiv preprint arXiv …, 2024 - arxiv.org
We demonstrate algorithmic cooling on IBM-Q devices. We utilize inherent qubit noise to
simulate the equilibration of an interacting spin system towards its ground state, when …