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Thermodynamical Effects for Quantum Approximate Optimization

A DOE-supported research project studying thermodynamic mechanisms and performance-relevant effects in Quantum Approximate Optimization.

This project investigates thermodynamic effects in QAOA and related optimization dynamics, with emphasis on mechanisms that can inform algorithm design and hardware-aware performance interpretation.

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Project publications

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Staff involved

Davide Venturelli Stuart Hadfield Filip Maciejewski

Figure-derived thumbnail for Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits — 2026

Open paper

Selected highlight

Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits

Stuart Hadfield, Filip B. Maciejewski, Davide Venturelli arXiv preprint arXiv:2606.28234

arXiv

Open paper

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping

Filip B Maciejewski, Jacob Biamonte, Stuart Hadfield, Davide Venturelli Quantum, 9, 1906

DOI arXiv Hardware: Rigetti