5 papers
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…
Data Complexity: a threshold between Classical and Quantum Machine Learning -- Part I
Christophe Pere
Quantum machine learning (QML) holds promise for accelerating pattern recognition, optimization, and data analysis, but the conditions under which it can truly outperform classical…
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…