16 citations · 38 across the 4 of their papers we have counts for
4 papers
An Empirical Review of Optimization Techniques for Quantum Variational Circuits
Owen Lockwood
Quantum Variational Circuits (QVCs) are often claimed as one of the most potent uses of both near term and long term quantum hardware. The standard approaches to optimizing these c…
Playing Atari with Hybrid Quantum-Classical Reinforcement Learning
Owen Lockwood, Mei Si
Despite the successes of recent works in quantum reinforcement learning, there are still severe limitations on its applications due to the challenge of encoding large observation s…
In Defense of the Paper
Owen Lockwood
The machine learning publication process is broken, of that there can be no doubt. Many of these flaws are attributed to the current workflow: LaTeX to PDF to reviewers to camera r…
Reinforcement Learning with Quantum Variational Circuits
Owen Lockwood, Mei Si
The development of quantum computational techniques has advanced greatly in recent years, parallel to the advancements in techniques for deep reinforcement learning. This work expl…