11 citations · 11 across the 4 of their papers we have counts for
4 papers
Adaptive Reinforcement Learning for Robust Open Quantum System Control: A Multi-Task Framework with Temporal Optimization
Haftu W. Fentaw, Steve Campbell, Simon Caton
We present a Multi-task Soft Actor-Critic (SAC) Reinforcement Learning framework designed for open-system quantum control across diverse Hamiltonians, which learns optimal pulse se…
Towards High Performance Quantum Computing (HPQ): Parallelisation of the Hamiltonian Auto Decomposition Optimisation Framework (HADOF)
Namasi G Sankar, Georgios Miliotis, Simon Caton
Practical applicability of quantum optimisation on near term devices is constrained by limited qubit counts and hardware noise, which restricts the scalability of quantum optimisat…
Scalable Quantum Optimisation using HADOF: Hamiltonian Auto-Decomposition Optimisation Framework
Namasi G Sankar, Georgios Miliotis, Simon Caton
Quantum Annealing (QA) and QAOA are promising quantum optimisation algorithms used for finding approximate solutions to combinatorial problems on near-term NISQ systems. Many NP-ha…
Exploring Quantum Control Landscape and Solution Space Complexity through Dimensionality Reduction & Optimization Algorithms
Haftu W. Fentaw, Steve Campbell, Simon Caton
Understanding the quantum control landscape (QCL) is important for designing effective quantum control strategies. In this study, we analyze the QCL for a single two-level quantum…