Author

Clément Javerzac

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Preprint Sep 2026

Experimental evidence of generalization in quantum machine learning in small-data regime

This work develops a hardware-compatible QCNN with mid-circuit measurement and classical feed-forward, and shows on a binary handwritten-digit task that strong test performance is achievable from as few as 10 training samples, with the generalization error decreasing as the training set grows.

Leena Anthony, Artemiy Burov, N. Piro et al. · 0 citations

Preprint Aug 2026

Logarithmic depth compression of Heisenberg Hamiltonian simulation by fan-out parallelization, with built-in error detection

A fan-out-based gadget compiler that trades circuit depth for width in simulations of Heisenberg-type nuclear magnetic resonance (NMR) Hamiltonians is introduced and the zero-field NMR spectrum of tetramethylsilane, a 13-spin star system is simulated.

Artemiy Burov, Clément Javerzac · 1 citation