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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.

  • Google Scholar
  • NASA Webpage
  • Davide Venturelli
  • Associate Director, Quantum

  • Artificial Intelligence, Quantum Computing, Condensed Matter Theory, Mesoscopic Physics, Planning and Scheduling
  • dventurelli@usra.edu
  • Google Scholar
  • 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
  • Google Scholar
  • NASA Webpage
  • Zhihui Wang
  • Senior Scientist

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

  • Open Quantum Systems, Quantum Computation, Quantum Annealing, QAOA
  • jmarshall@usra.edu
  • Google Scholar
  • NASA Webpage
  • Stuart Hadfield
  • Scientist

  • Quantum Computation, Quantum information, Open Quantum Systems, Quantum Annealing
  • shadfield@usra.edu
  • Google Scholar
  • NASA Webpage
  • Kyle E. C. Booth
  • Associate Scientist

  • Operations Research, Constraint Programming, Combinatorial Optimization, Quantum Computing, Scheduling
  • kbooth@usra.edu
  • Google Scholar
  • NASA Webpage
  • Filip Wudarski
  • Scientist

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

  • Data Sciences, Aviation, Autonomous Systems, Nanotechnology, Synthetic Biology, Quantum Computing
  • dbell@usra.edu
  • Google Scholar
  • Irina Patrikeeva Hallinan
  • Software Engineer

  • User Interfaces, Human Centered Design, Software Engineering
  • ihallinan@usra.edu
  • Google Scholar
  • NASA Webpage
  • Zoe Gonzalez Izquierdo
  • Associate Scientist

  • Quantum Computing, Quantum Optimization, Benchmarking
  • zgonzalez@usra.edu
  • Google Scholar
  • James Sud
  • Research Assistant

  • Quantum Algorithms, Benchmarking Quantum Computers
  • jsud@usra.edu
  • Google Scholar
  • NASA Webpage
  • David Bernal Neira
  • Associate Scientist

  • Quantum and Classical Optimization
  • dbernalneira@usra.edu
  • Google Scholar
  • M. Sohaib Alam
  • Scientist

  • Quantum Algorithms, Quantum and Classical Machine Learning, Quantum Software Engineering
  • malam@usra.edu

    • Team past members:

    Alejandro Perdomo-Ortiz ( Zapata )
    Kostyantyn Kechedzhi ( Google )
    Norman Tubman ( NASA )
    Eugeniu Plamadeala ( AWS )
    Vanesa Gomez-Gonzalez ( Cappella Space )
    Rachel Stromswold ( NASA Ph.D. fellowship )




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



  • Ising Machines Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection
  • arXiv preprint arXiv:2105.10535, 2021-05-21 Abhishek Kumar Singh, Kyle Jamieson, Davide Venturelli, Peter McMahon


  • Practical Verification of Quantum Properties in Quantum Approximate Optimization Runs
  • arXiv e-prints, 2021-05-04 M Sohaib Alam, Filip A Wudarski, Matthew J Reagor, James Sud, Shon Grabbe, Zhihui Wang, Mark Hodson, P Aaron Lott, Eleanor G Rieffel, Davide Venturelli


  • Quantum algorithms with local particle-number conservation: Noise effects and error correction
  • Physical Review A, 2021-04-13 Michael Streif, Martin Leib, Filip Wudarski, Eleanor Rieffel, Zhihui Wang


  • Optimizing quantum heuristics with meta-learning
  • Quantum Machine Intelligence, 2021-04-13 Max Wilson, Rachel Stromswold, Filip Wudarski, Stuart Hadfield, Norm M Tubman, Eleanor G Rieffel


  • Simulations of state-of-the-art fermionic neural network wave functions with diffusion Monte Carlo
  • arXiv preprint arXiv:2103.12570, 2021-03-23 Max Wilson, Nicholas Gao, Filip Wudarski, Eleanor Rieffel, Norm M Tubman


  • Physics-inspired heuristics for soft MIMO detection in 5G new radio and beyond
  • arXiv preprint arXiv:2103.10561, 2021-03-18 Minsung Kim, Salvatore Mandrà, Davide Venturelli, Kyle Jamieson


  • Real time evolution for ultracompact Hamiltonian eigenstates on quantum hardware
  • arXiv preprint arXiv:2103.08563, 2021-03-15 Katherine Klymko, Carlos Mejuto-Zaera, Stephen J Cotton, Filip Wudarski, Miroslav Urbanek, Diptarka Hait, Martin Head-Gordon, K Birgitta Whaley, Jonathan Moussa, Nathan Wiebe et al.


  • Perils of Embedding for Quantum Sampling
  • arXiv preprint arXiv:2103.07036, 2021-03-12 Jeffrey Marshall, Gianni Mossi, Eleanor G Rieffel


  • Quantum-accelerated constraint programming
  • arXiv preprint arXiv:2103.04502, 2021-03-08 Kyle EC Booth, Bryan OGorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Rieffel


  • Entanglement across separate silicon dies in a modular superconducting qubit device
  • arXiv preprint arXiv:2102.13293, 2021-02-26 Alysson Gold, JP Paquette, Anna Stockklauser, Matthew J Reagor, M Sohaib Alam, Andrew Bestwick, Nicolas Didier, Ani Nersisyan, Feyza Oruc, Armin Razavi et al.


  • Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding
  • arXiv preprint arXiv:2102.12540, 2021-02-24 Srikar Kasi, Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson


  • Information scrambling in computationally complex quantum circuits
  • arXiv preprint arXiv:2101.08870, 2021-01-21 Xiao Mi, Pedram Roushan, Chris Quintana, Salvatore Mandra, Jeffrey Marshall, Charles Neill, Frank Arute, Kunal Arya, Juan Atalaya, Ryan Babbush et al.


  • Quantum Integer Programming (QuIP) 47-779: Lecture Notes
  • arXiv preprint arXiv:2012.11382, 2020-12-17 David E Bernal, Sridhar Tayur, Davide Venturelli


  • Quantum annealing speedup of embedded problems via suppression of Griffiths singularities
  • Physical Review B, 2020-12-10 Sergey Knysh, Eugeniu Plamadeala, Davide Venturelli


  • Classical symmetries and QAOA
  • arXiv preprint arXiv:2012.04713, 2020-12-08 Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro


  • Quantum algorithms with local particle number conservation: noise effects and error correction
  • arXiv preprint arXiv:2011.06873, 2020-11-13 Michael Streif, Martin Leib, Filip Wudarski, Eleanor Rieffel, Zhihui Wang


  • Augmented fidelities for single-qubit gates
  • Physical Review A, 2020-11-12 Filip Wudarski, Jeffrey Marshall, Andre Petukhov, Eleanor Rieffel


  • Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems
  • HotNets '20: Proceedings of the 19th ACM Workshop on Hot Topics in Networks, 2020-11-04 Minsung Kim, Davide Venturelli, Kyle Jamieson


  • Character randomized benchmarking for non-multiplicity-free groups with applications to subspace, leakage, and matchgate randomized benchmarking
  • arXiv preprint arXiv:2011.00007, 2020-10-30 Jahan Claes, Eleanor Rieffel, Zhihui Wang


  • Toward Quantum Gate-Model Heuristics for Real-World Planning Problems
  • IEEE Transactions on Quantum Engineering, 2020-10-13 Tobias Stollenwerk, Stuart Hadfield, Zhihui Wang


  • Entanglement production and convergence properties of the variational quantum eigensolver
  • Physical Review A, 2020-10-09 Andreas JC Woitzik, Panagiotis Kl Barkoutsos, Filip Wudarski, Andreas Buchleitner, Ivano Tavernelli


  • Integer programming techniques for minor-embedding in quantum annealers
  • Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2020-09-21 David E Bernal, Kyle EC Booth, Raouf Dridi, Hedayat Alghassi, Sridhar Tayur, Davide Venturelli


  • Discriminating nonisomorphic graphs with an experimental quantum annealer
  • Physical Review A, 2020-09-21 Zoe Gonzalez Izquierdo, Ruilin Zhou, Klas Markström, Itay Hen


  • Comparing relaxation mechanisms in quantum and classical transverse-field annealing
  • Phys. Rev. Applied, 2020-09-10 Tameem Albash, Jeffrey Marshall


  • Quantum-accelerated global constraint filtering
  • Principles and Practice of Constraint Programming, 2020-09-07 Kyle EC Booth, Bryan O’Gorman, Jeffrey Marshall, Stuart Hadfield, Eleanor Rieffel


  • Characterizing local noise in QAOA circuits
  • IOP SciNotes, 2020-08-28 Jeffrey Marshall, Filip Wudarski, Stuart Hadfield, Tad Hogg


  • Target Search on Road Networks with Range-Constrained UAVs and Ground-Based Mobile Recharging Vehicles
  • IEEE Robotics and Automation Letters, 2020-08-11 Kyle EC Booth, Chiara Piacentini, Sara Bernardini, J Christopher Beck


  • 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