Quantum Computing

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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
  • 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
  • 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
  • Google Scholar
  • Nishchay Suri
  • Associate Scientist

  • Quantum Algorithms, Machine Learning, Open Quantum Systems
  • nsuri@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 )
    Kyle Booth ( AWS )




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



  • Practical Verification of Quantum Properties in Quantum-Approximate-Optimization Runs
  • Physical Review Applied, 2022-02-09 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


  • Wave function Ansatz (but Periodic) Networks and the Homogeneous Electron Gas
  • arXiv preprint arXiv:2202.04622, 2022-02-02 Max Wilson; Saverio Moroni; Markus Holzmann; Nicholas Gao; Filip Wudarski; Tejs Vegge; Arghya Bhowmik


  • A class of Bell diagonal entanglement witnesses in : optimization and the spanning property
  • arXiv preprint arXiv:2112.15183, 2021-12-30 Anindita Bera; Filip A Wudarski; Gniewomir Sarbicki; Dariusz Chruściński


  • On the representation of Boolean and real functions as Hamiltonians for quantum computing
  • ACM Transactions on Quantum Computing, 2021-12-21 Stuart Hadfield


  • Information scrambling in quantum circuits
  • Science, 2021-12-17 Xiao Mi; Pedram Roushan; Chris Quintana; Salvatore Mandrà; Jeffrey Marshall; Charles Neill; Frank Arute; Kunal Arya; Juan Atalaya; Ryan Babbush; et al.


  • Dual Map Framework for Noise Characterization of Quantum Computers
  • arXiv preprint arXiv:2112.04414, 2021-12-08 James Sud; Jeffrey Marshall; Zhihui Wang; Eleanor Rieffel; Filip A Wudarski


  • Inter-generational comparison of quantum annealers in solving hard scheduling problems
  • arXiv preprint arXiv:2112.00727, 2021-12-01 Bibek Pokharel; Zoe Gonzalez Izquierdo; P Aaron Lott; Elena Strbac; Krzysztof Osiewalski; Emmanuel Papathanasiou; Alexei Kondratyev; Davide Venturelli; Eleanor Rieffel


  • A Quantum Annealing Approach to Reduce Covid-19 Spread on College Campuses
  • arXiv preprint arXiv:2112.01220, 2021-11-22 James Sud; Victor Li


  • HybridQ: A Hybrid Simulator for Quantum Circuits
  • 2021-11-15 Salvatore Mandrà; Jeffrey Marshall; Eleanor G Rieffel; Rupak Biswas


  • Hybrid model generation for superstructure optimization with Generalized Disjunctive Programming
  • Computers & Chemical Engineering, 2021-11-01 Hector Alejandro Pedrozo; SB Rodriguez Reartes; David E Bernal; AR Vecchietti; María Soledad Díaz; Ignacio E Grossmann


  • Classical symmetries and the Quantum Approximate Optimization Algorithm
  • Quantum Information Processing, 2021-11 Ruslan Shaydulin; Stuart Hadfield; Tad Hogg; Ilya Safro


  • Entanglement across separate silicon dies in a modular superconducting qubit device
  • npj Quantum Information, 2021-09-28 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-accelerated constraint programming
  • Quantum, 2021-09-28 Kyle EC Booth; Bryan O'Gorman; Jeffrey Marshall; Stuart Hadfield; Eleanor Rieffel


  • Bounds on approximating Max XOR with quantum and classical local algorithms
  • arXiv preprint arXiv:2109.10833, 2021-09-22 Kunal Marwaha; Stuart Hadfield


  • Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming using Cones
  • arXiv preprint arXiv:2109.09657, 2021-09-20 David E Bernal; Ignacio E Grossmann


  • Sample average approximation for stochastic nonconvex mixed integer nonlinear programming via outer-approximation
  • Optimization and Engineering, 2021-09 Can Li; David E Bernal; Kevin C Furman; Marco A Duran; Ignacio E Grossmann


  • Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model
  • arXiv preprint arXiv:2108.13375, 2021-08-30 Andy CY Li; M Sohaib Alam; Thomas Iadecola; Ammar Jahin; Doga Murat Kurkcuoglu; Richard Li; Peter P Orth; A Barış Özgüler; Gabriel N Perdue; Norm M Tubman


  • Quantum Simulation of Dihedral Gauge Theories
  • arXiv preprint arXiv:2108.13305, 2021-08-30 M Sohaib Alam; Stuart Hadfield; Henry Lamm; Andy CY Li


  • Quantum Alternating Operator Ansatz (QAOA) Phase Diagrams and Applications for Quantum Chemistry
  • arXiv preprint arXiv:2108.13056, 2021-08-30 Vladimir Kremenetski; Tad Hogg; Stuart Hadfield; Stephen J Cotton; Norm M Tubman


  • Quantum simulation of theories in qudit systems
  • arXiv preprint arXiv:2108.13357, 2021-08-30 Doga Murat Kurkcuoglu; M Sohaib Alam; Andy CY Li; Alexandru Macridin; Gabriel N Perdue


  • Heuristic quantum optimization for 6G wireless communications
  • IEEE Network, 2021-08-20 Minsung Kim; Srikar Kasi; P Aaron Lott; Davide Venturelli; John Kaewell; Kyle Jamieson


  • Observation of many-body localization in an experimental quantum annealer
  • arXiv preprint arXiv:2108.06762, 2021-08-15 Zoe Gonzalez Izquierdo; Andreia Saguia; Tameem Albash; Itay Hen; Marcelo S Sarandy


  • Localization transition induced by programmable disorder
  • arXiv preprint arXiv:2108.06762, 2021-08-15 Zoe Gonzalez Izquierdo; Andreia Saguia; Tameem Albash; Itay Hen; Marcelo S Sarandy


  • Mixer-Phaser Ansatze for Quantum Optimization with Hard Constraints
  • arXiv preprint arXiv:2107.06651, 2021-07-13 Ryan LaRose; Eleanor Rieffel; Davide Venturelli


  • Testing a quantum annealer as a quantum thermal sampler
  • ACM Transactions on Quantum Computing, 2021-07-09 Zoe Gonzalez Izquierdo; Itay Hen; Tameem Albash


  • Quantum technologies for climate change: Preliminary assessment
  • arXiv preprint arXiv:2107.05362, 2021-06-23 Casey Berger; Agustin Di Paolo; Tracey Forrest; Stuart Hadfield; Nicolas Sawaya; Michał Stęchły; Karl Thibault


  • Quantum annealing for large MIMO downlink vector perturbation precoding
  • 2021-06-14 Srikar Kasi; Abhishek Kumar Singh; Davide Venturelli; Kyle Jamieson


  • Correlation-informed permutation of qubits for reducing ansatz depth in the variational quantum eigensolver
  • PRX Quantum, 2021-06-09 Nikolay V Tkachenko; James Sud; Yu Zhang; Sergei Tretiak; Petr M Anisimov; Andrew T Arrasmith; Patrick J Coles; Lukasz Cincio; Pavel A Dub


  • Optimizing quantum heuristics with meta-learning
  • Quantum Machine Intelligence, 2021-06 Max Wilson; Rachel Stromswold; Filip Wudarski; Stuart Hadfield; Norm M Tubman; Eleanor G Rieffel


  • 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


  • Analytical Framework for Quantum Alternating Operator Ansätze
  • arXiv preprint arXiv:2105.06996, 2021-05-14 Stuart Hadfield; Tad Hogg; Eleanor G Rieffel


  • Practical Verification of Quantum Properties in Quantum Approximate Optimization Runs
  • arXiv preprint arXiv:2105.01639, 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


  • Pyomo. GDP: an ecosystem for logic based modeling and optimization development
  • Optimization and Engineering, 2021-04-23 Qi Chen; Emma S Johnson; David E Bernal; Romeo Valentin; Sunjeev Kale; Johnny Bates; John D Siirola; Ignacio E Grossmann


  • 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


  • Ferromagnetically shifting the power of pausing
  • Physical Review Applied, 2021-04-06 Zoe Gonzalez Izquierdo; Shon Grabbe; Stuart Hadfield; Jeffrey Marshall; Zhihui Wang; Eleanor 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