Raphael C Pooser Research Scientist Contact pooserrc@ornl.gov | 865.576.6658 All Publications Unbiased simulation of near-Clifford quantum circuits... Quantum Machine Learning over Infinite Dimensions... Towards Quantum Plasmonic Networks... Cobalt stabilization of silver extraordinary optical transmission sensing platforms... Plasmonic trace sensing below the photon shot noise limit... Quantum simulation of quantum field theory using continuous variables... Quantum Enhanced Probes of Magnetic Circular Dichroism Molecular Symmetry in VQE: A Dual Approach for Trapped-Ion Simulations of Benzene Towards a Continuous Variable Quantum Compiler... Distributed phase sensing using two-mode squeezed states in a truncated SU(1,1) interferometer Characterizing and mitigating coherent errors in a trapped ion quantum processor using hidden inverses... Quantum error mitigation by hidden inverses protocol in superconducting quantum devices* Quantum Networks for High Energy Physics (HEP)... Bayesian Optical Heterodyne Tomography... Mode connectivity in the loss landscape of parameterized quantum circuits... Parametrized process characterization with reduced resource requirements Quantum Networking and Communications at Oak Ridge National Laboratory... Bayesian homodyne and heterodyne tomography... Quantum Computing Systems and Software for High-energy Physics Research... Lessons Learned on the Interface Between Quantum and Conventional Networking... Magneto-Optical Sensing Beyond the Shot Noise Limit Scalable Programming Workflows for Validation of Quantum Computers... QuaSiMo: A Composable Library to Program Hybrid Workflows for Quantum Simulation... Benchmarking Quantum Chemistry Computations with Variational, Imaginary Time Evolution, and Krylov Space Solver Algorithms... Scattering in the Ising model with the quantum Lanczos algorithm *... Pagination Current page 1 Page 2 Page 3 … Next page ›› Last page Last » Key Links Curriculum Vitae ORCID Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Quantum Information Science Section Quantum Computing and Sensing Group
