233 citations · 252 across the 3 of their papers we have counts for
3 papers
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…
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…
PennyLane: Automatic differentiation of hybrid quantum-classical computations
Ville Bergholm, Josh Izaac, Maria Schuld +65
PennyLane is a Python 3 software framework for differentiable programming of quantum computers. The library provides a unified architecture for near-term quantum computing devices,…