Quantum Computing

Research Team

The team works primarily with NASA Ames Quantum AI Laboratory led by Eleanor G. Rieffel under the NASA Academics Mission Service Contract. It is supported as well by the National Science Foundation SpecEES and Expeditions in Computing program and by the DARPA ONISQ program.

  • Davide Venturelli
  • Associate Director, Quantum

  • Artificial Intelligence, Quantum Computing, Condensed Matter Theory, Mesoscopic Physics, Planning and Scheduling
  • dventurelli@usra.edu
  • Aaron Lott
  • Program Manager, Quantum

  • Program & Product Management, Quantum Computation & Technologies, Physics-based solvers, Machine Learning, Optimization, Materials Science, Numerical Linear Algebra, Computational Fluid Dynamics
  • plott@usra.edu
  • Zhihui Wang
  • Senior Scientist

  • Condensed Matter Theory, Quantum Information Processing, Quantum Computation
  • zwang@usra.edu
  • Jeffrey Marshall
  • Associate Scientist

  • Open Quantum Systems, Quantum Computation, Quantum Annealing, QAOA
  • jmarshall@usra.edu
  • Stuart Hadfield
  • Associate Scientist

  • Quantum Computation, Quantum information, Open Quantum Systems, Quantum Annealing
  • shadfield@usra.edu
  • Vanesa Gomez Gonzalez
  • Senior Software Engineer

  • Quantum Computation, Computer Science, Bioinformatics, Space, Robotics
  • vgomezgonzalez@usra.edu
  • Kyle E. C. Booth
  • Associate Scientist

  • Operations Research, Constraint Programming, Combinatorial Optimization, Quantum Computing, Scheduling
  • kbooth@usra.edu
  • Filip Wudarski
  • Associate Scientist

  • Quantum Information, Open Quantum Systems, Quantum Computation, Quantum Machine Learning, Quantum Chemistry
  • fwudarski@usra.edu
  • David Bell
  • RIACS Director

  • Data Sciences, Aviation, Autonomous Systems, Nanotechnology, Synthetic Biology, Quantum Computing
  • dbell@usra.edu
  • Rachel Stromswold
  • Research Assistant

  • Quantum Annealing, Optimization
  • rstromswold@usra.edu
  • Irina Patrikeeva
  • Software Engineer

  • User Interfaces, Human Centered Design, Space, Software Engineering
  • ipatrikeeva@usra.edu




  • Listed below the publications from the team in the last 12 months:



  • Quantum annealing speedup of embedded problems via suppression of Griffiths singularities
  • arXiv preprint arXiv:2006.12731, 2020/06/23    Sergey Knysh, Eugeniu Plamadeala, Davide Venturelli


  • Ferromagnetically shifting the power of pausing
  • arXiv preprint arXiv:2006.08526, 2020/06/15    Zoe Gonzalez Izquierdo, Shon Grabbe, Stuart Hadfield, Jeffrey Marshall, Zhihui Wang, Eleanor Rieffel


  • Augmented fidelities for single qubit gates
  • arXiv preprint arXiv:2006.03086, 2020/06/04    Filip Wudarski, Jeffrey Marshall, Andre Petukhov, Eleanor Rieffel


  • Perils of embedding for sampling problems
  • Physical Review Research, 2020/04/09    J Marshall, A Di Gioacchino, EG Rieffel


  • Entanglement Production and Convergence Properties of the Variational Quantum Eigensolver
  • arXiv preprint arXiv:2003.12490, 2020/03/27    AJC Woitzik, PK Barkoutsos, F Wudarski, A Buchleitner, I Tavernelli


  • Characterizing local noise in QAOA circuits
  • arXiv preprint arXiv:2002.11682, 2020/02/26    J Marshall, F Wudarski, S Hadfield, T Hogg


  • Planning for Compilation of a Quantum Algorithm for Graph Coloring
  • arXiv preprint arXiv:2002.10917, 2020/02/23    M Do, Z Wang, B OGorman, D Venturelli, E Rieffel, J Frank


  • Branch-and-check methods for multi-level operating room planning and scheduling
  • International Journal of Production Economics, 2020/02/01    Vahid Roshanaei, Kyle EC Booth, Dionne M Aleman, David R Urbach, J Christopher Beck


  • Channel coding of a quantum measurement
  • IEEE Journal on Selected Areas in Communications, 2020/01/24    S Kechrimparis, CM Kropf, F Wudarski, J Bae


  • Synchronously-pumped OPO coherent Ising machine: benchmarking and prospects
  • AI and Optical Data Sciences, 2020    Ryan Hamerly, Takahiro Inagaki, Peter L McMahon, Davide Venturelli, Alireza Marandi, Dirk R Englund, Yoshihisa Yamamoto


  • Integer programming techniques for minor-embedding in quantum annealers
  • arXiv preprint arXiv:1912.08314, 2019/12/17    DE Bernal, KEC Booth, R Dridi, H Alghassi, S Tayur, D Venturelli


  • From Ansätze to Z-gates: NASA View of Quantum Computing
  • Future Trends of HPC in a Disruptive Scenario, 2019/09/27    EG Rieffel, S Hadfield, T Hogg, S Mandrà, J Marshall, G Mossi, ...


  • Experimental investigation of Markovian and non-Markovian channel addition
  • arXiv preprint arXiv:1908.08085, 2019/08/21    SA Uriri, F Wudarski, I Sinayskiy, F Petruccione, MS Tame


  • Optimizing quantum heuristics with meta-learning
  • arXiv preprint arXiv:1908.03185, 2019/08/08    M Wilson, S Stromswold, F Wudarski, S Hadfield, NM Tubman, E Rieffel


  • Estimating the density of states of frustrated spin systems
  • New Journal of Physics, 2019/07/30    L Barash, J Marshall, M Weigel, I Hen