7 citations · 8 across the 5 of their papers we have counts for
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quant-ph2024★ 1 cited
Estimates of loss function concentration in noisy parametrized quantum circuits
Giulio Crognaletti, Michele Grossi, Angelo Bassi
Variational quantum computing offers a powerful framework with applications across diverse fields such as quantum chemistry, machine learning, and optimization. However, its scalab…
quant-ph2024★ 7 cited
Equivariant Variational Quantum Eigensolver to detect Phase Transitions through Energy Level Crossings
Giulio Crognaletti, Giovanni Di Bartolomeo, Michele Vischi +1
Level spectroscopy stands as a powerful method for identifying the transition point that delineates distinct quantum phases. Since each quantum phase exhibits a characteristic sequ…