2 papers
quant-ph2026
Quantum-Classical Auxiliary-Field Quantum Monte Carlo at the Edge of Practicability
Francesco Nappi, Matthew Kiser, Fedor Šimkovic
We introduce algorithmic improvements to quantum-classical auxiliary-field quantum Monte Carlo (QC-AFQMC) that reduce the dominant per-step classical scaling from $\tilde{\mathcal{…
quant-ph2023
Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern
Jonas Stein, Tobias Rohe, Francesco Nappi +5
Variational Quantum Algorithms are one of the most promising candidates to yield the first industrially relevant quantum advantage. Being capable of arbitrary function approximatio…