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quant-ph2025
Quantum Phases Classification Using Quantum Machine Learning with SHAP-Driven Feature Selection
Giovanni S. Franco, Felipe Mahlow, Pedro M. Prado +3
In this study, we present an innovative methodology to classify quantum phases within the ANNNI (Axial Next-Nearest Neighbor Ising) model by combining Quantum Machine Learning (QML…
quant-ph2025
Accelerating Feedback-Based Quantum Algorithms through Time Rescaling
L. A. M. Rattighieri, G. E. L. Pexe, B. L. Bernado +1
This work investigates the impact of time rescaling on the performance of Feedback Quantum Algorithms (FQA) and their variant for optimization tasks, FALQON. We introduce TR-FQA an…