347 citations · 813 across the 58 of their papers we have counts for
4 papers · 2 filters
Robustness of quantum reinforcement learning under hardware errors
Andrea Skolik, Stefano Mangini, Thomas Bäck +2
Variational quantum machine learning algorithms have become the focus of recent research on how to utilize near-term quantum devices for machine learning tasks. They are considered…
Reinforcement Learning Assisted Recursive QAOA
Yash J. Patel, Sofiene Jerbi, Thomas Bäck +1
Variational quantum algorithms such as the Quantum Approximation Optimization Algorithm (QAOA) in recent years have gained popularity as they provide the hope of using NISQ devices…
Quantum-Enhanced Selection Operators for Evolutionary Algorithms
David Von Dollen, Sheir Yarkoni, Daniel Weimer +2
Genetic algorithms have unique properties which are useful when applied to black box optimization. Using selection, crossover, and mutation operators, candidate solutions may be ob…
Equivariant quantum circuits for learning on weighted graphs
Andrea Skolik, Michele Cattelan, Sheir Yarkoni +2
Variational quantum algorithms are the leading candidate for advantage on near-term quantum hardware. When training a parametrized quantum circuit in this setting to solve a specif…