19 citations · 19 across the 2 of their papers we have counts for
2 papers
quant-ph2024★ 19 cited
Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning
Vladimir Skavysh, Sofia Priazhkina, Diego Guala +1
Computational methods both open the frontiers of economic analysis and serve as a bottleneck in what can be achieved. We are the first to study whether Quantum Monte Carlo (QMC) al…
quant-ph2022
A practical overview of image classification with variational tensor-network quantum circuits
Diego Guala, Shaoming Zhang, Esther Cruz +3
Circuit design for quantum machine learning remains a formidable challenge. Inspired by the applications of tensor networks across different fields and their novel presence in the…