Phil Lotshaw Research Scientist Contact . . | LOTSHAWPC@ORNL.GOV All Publications Modeling noise in global M繪lmer-S繪rensen interactions applied to quantum approximate optimization Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut Scaling quantum approximate optimization on near-term hardware Empirical performance bounds for quantum approximate optimization Graph decomposition techniques for solving combinatorial optimization problems with variational quantum algorithms Ancilla-entangling Floquet kicks for accelerating quantum algorithms... Exactly solvable model of light-scattering errors in quantum simulations with metastable trapped-ion qubits Approximate Boltzmann distributions in quantum approximate optimization... Solving MaxCut with quantum imaginary time evolution 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 Scalable Programming Workflows for Validation of Quantum Computers Asymmetric temperature equilibration with heat flow from cold to hot in a quantum thermodynamic system 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 Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Quantum Information Science Section Quantum Computational Science Group
