Owen Lockwood
- Reinforcement Learning with Quantum Variational Circuits
2020/08/15 by Owen Lockwood, Mei Si, Lockwood, Owen +1 · 7 citations
Computer Science · #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
- A Review of Uncertainty for Deep Reinforcement Learning
2022/08/18 by Owen Lockwood, Mei Si, Lockwood, Owen +1 · 4 citations
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- QuantumCircuitOpt: An Open-source Framework for Provably Optimal Quantum Circuit Design
2021/11/23 by Harsha Nagarajan, Owen Lockwood, Nagarajan, Harsha +3 · 4 citations
Computer Science · Engineering · #FOS: Mathematics #FOS: Physical sciences #Low-power high-performance VLSI design #Optimization and Control (math.OC) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
- Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
2021/09/07 by Owen Lockwood, Lockwood, Owen · 2 citations
Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Stochastic Gradient Optimization Techniques
- An efficient probabilistic hardware architecture for diffusion-like models
2025/10/28 by Andraž Jelinčič, Owen Lockwood, Jelinčič, Andraž +9 · 1 voice · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing
2026/07/17 by Owen Lockwood, Jérémy Béjanin, Joost Bus +4 · 1 voice
#cs.LG #cs.ET #physics.app-ph