Program / active

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.

Related output / newest first

Program publications

3 linked records

Staff involved

Davide VenturelliStuart HadfieldFilip MaciejewskiAntonio SanniaJacob Biamonte

Figure-derived thumbnail for Temporal information processing on a 4,500-qubit quantum annealer — 2026

Open paper

Selected highlight

Temporal information processing on a 4,500-qubit quantum annealer

Antonio Sannia, Roberto Menta, Pratik Sathe, Dario De Santis, Vittorio Giovannetti, Luis Pedro García-Pintos, Davide Venturelli, Gian Luca Giorgi, Roberta Zambrini, Francesco Caravelli arXiv preprint arXiv:2609.19308

arXiv Academy Hardware: D-Wave

Open paper

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 Google Scholar record Google Scholar record Google Scholar record Hardware: Rigetti