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quant-ph2025
Triplet Loss Based Quantum Encoding for Class Separability
Marco Mordacci, Mahul Pandey, Paolo Santini +1
An efficient and data-driven encoding scheme is proposed to enhance the performance of variational quantum classifiers. This encoding is specially designed for complex datasets lik…
quant-ph2025★ 3 cited
Quantum error mitigation in optimized circuits for particle-density correlations in real-time dynamics of the Schwinger model
Domenico Pomarico, Mahul Pandey, Riccardo Cioli +5
Quantum computing gives direct access to the study of real-time dynamics of quantum many-body systems. In principle, it is possible to directly calculate non-equal-time correlation…