Phil C Lotshaw Research Scientist Contact lotshawpc@ornl.gov All Publications Scaling quantum approximate optimization on near-term hardware Empirical performance bounds for quantum approximate optimization Approximate Boltzmann distributions in quantum approximate optimization Solving MaxCut with quantum imaginary time evolution Modeling noise in global Mølmer-Sørensen interactions applied to quantum approximate optimization... Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut... Simulations of frustrated Ising Hamiltonians using quantum approximate optimization... Numerical Simulations of Noisy Quantum Circuits for Computational Chemistry... Multi-angle quantum approximate optimization algorithm... Quantum Computing Systems and Software for High-energy Physics Research... QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA... Asymmetric temperature equilibration with heat flow from cold to hot in a quantum thermodynamic system... Scalable Programming Workflows for Validation of Quantum Computers... Globally Optimizing QAOA Circuit Depth for Constrained Optimization Problems QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation... Impact of Graph Structures for QAOA on MaxCut Key Links ORCID https://scholar.google.com/citations?user=Qdz73AwAAAAJ&hl=en&oi=ao Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Quantum Information Science Section Quantum Computational Science Group
