2 papers
quant-ph2026
Experimental evidence of generalization in quantum machine learning in small-data regime
Leena Anthony, Artemiy Burov, Nicolas Piro +2
Quantum machine learning is a promising paradigm for learning from limited data, a central bottleneck in domains such as medical imaging, clinical trials, and rare diseases. Quantu…
quant-ph2026
Logarithmic depth compression of Heisenberg Hamiltonian simulation by fan-out parallelization, with built-in error detection
Artemiy Burov, Clément Javerzac
Noisy intermediate-scale quantum computers are constrained by circuit depth, while product-formula simulation of spin systems leads to narrow and deep circuits. Here we introduce a…