5 papers · 1 filter
Migrating QAOA from Qiskit 1.x to 2.x: An experience report
Julien Cardinal, Imen Benzarti, Ghizlane El boussaidi +1
Migrating quantum algorithms across evolving frameworks introduces subtle behavioral changes that affect accuracy and reproducibility. This paper reports our experience converting…
Does Data Complexity Predict Quantum Advantage? A framework, a pre-specified test, and an attribution of the measured edge
Christophe Pere
Quantum machine learning (QML) holds promise for pattern recognition, optimization, and data analysis, but the conditions under which it can outperform classical methods remain unc…
Mid-circuit measurement as an algorithmic primitive
Antoine Lemelin, Christophe Pere, Olivier Landon-Cardinal +1
We explore the usefulness of mid-circuit measurements to enhance quantum algorithmics. Specifically, we assess how quantum phase estimation (QPE) and mid-circuit measurements can i…
EAQGA: A Quantum-Enhanced Genetic Algorithm with Novel Entanglement-Aware Crossovers
Mohammad Kashfi Haghighi, Matthieu Fortin-Deschênes, Christophe Pere +1
Genetic algorithms are highly effective optimization techniques for many computationally challenging problems, including combinatorial optimization tasks like portfolio optimizatio…
CHSH Violations using Dynamic Circuits
Jean-Baptiste Waring, Christophe Pere, Sébastien Le Beux
Scalable quantum computing relies on high-quality, long-range entanglement, a challenge on noisy, near-term devices. The need for practical insights for near-term algorithm design…