3 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
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…
Large circuit execution for NMR spectroscopy simulation on NISQ quantum hardware
Artemiy Burov, Julien Baglio, Clément Javerzac-Galy
With the latest advances in quantum computing technology, we are gradually moving from the noisy intermediate-scale quantum (NISQ) era characterized by hardware limited in the numb…
Towards quantum utility for NMR quantum simulation on a NISQ computer
Artemiy Burov, Oliver Nagl, Clément Javerzac-Galy
While the recent demonstration of accurate computations of classically intractable simulations on noisy quantum processors brings quantum advantage closer, there is still the chall…