233 citations · 252 across the 3 of their papers we have counts for
3 papers
Classical Quantum Optimization with Neural Network Quantum States
Joseph Gomes, Keri A. McKiernan, Peter Eastman +1
The classical simulation of quantum systems typically requires exponential resources. Recently, the introduction of a machine learning-based wavefunction ansatz has led to the abil…
Automated quantum programming via reinforcement learning for combinatorial optimization
Keri A. McKiernan, Erik Davis, M. Sohaib Alam +1
We develop a general method for incentive-based programming of hybrid quantum-classical computing systems using reinforcement learning, and apply this to solve combinatorial optimi…
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,…