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quant-ph2025
Adaptive-basis sample-based neural diagonalization for quantum many-body systems
Simone Cantori, Luca Brodoloni, Edoardo Recchi +3
Accurately estimating ground-state energies of quantum many-body systems is still a challenging computational task because of the exponential growth of the Hilbert space with the s…
quant-ph2025
Deep-learned error mitigation via partially knitted circuits for the variational quantum eigensolver
Simone Cantori, Andrea Mari, David Vitali +1
The variational quantum eigensolver (VQE) is generally regarded as a promising quantum algorithm for near-term noisy quantum computers. However, when implemented with the deep circ…