NASA Workshop on Quantum Computing for Aeroscience and Engineering

NASA Workshop on Quantum Computing for Aeroscience and Engineering

NASA Workshop on Quantum Computing for Aeroscience and Engineering 

November 7-8, 2017 

NASA Langley Research Center

quantum_closeup_smallAlgorithms and hardware for quantum computing are reaching a critical stage in their development where engineering applications will become almost within reach. A variety of hardware has been developed that have attracted significant interest in making these systems practical for supporting large scale engineering computations. These developments present an extraordinary opportunity to advance computing power. However, utilization of quantum phenomena is extraordinarily challenging due to its delicate nature and difficulty in measurement and control. Success of these computational systems requires strategic coordination between physicists, computer scientists, mathematicians, and engineers for technology transition from the laboratory to robust and scalable computations for practical problems of interest to NASA.

The objective of this workshop is to bring together experts on quantum information science and computation to understand the latest developments and current challenges in algorithms, hardware, and technology transition to engineering applications. The workshop aims to accelerate technology transition towards outstanding engineering problems that are expected to be achievable using quantum computations in the coming decade. The workshop’s goals include developing a roadmap for success towards solution strategies for engineering applications. These applications may include computational materials research, computational fluid dynamics and aerothermodynamics, among others. The agenda will include discussions on the latest advances in scalability, universal logic and error correction with the aim to understand the next set of challenges required to control quantum systems, measure their outputs, and preserve their properties from outside disturbances. The interested stakeholders will present or take part in discussion on challenges to transition the current state-of-the-art to large scale engineering and data science related problems.  Discussions aimed toward technology transition will be focused on the following four areas:

  • Quantum algorithms
  • Quantum computing hardware
  • Manufacturing and control of quantum systems
  • Engineering applications

We envision developing a roadmap that defines the next set of realistic challenges that can be met over the next ∼10-15 years. The workshop will take input from the experts in the field to identify how our current knowledge from physicists, computer scientists, and mathematicians may be transitioned to engineering to guide advances in a broad range of engineering technologies.  In addition, the workshop will help build partnerships across intersections of noted disciplines to guide algorithms and hardware development for applications of interest.

Speakers: (who have accepted participation)

Mohammad Amin, D-Wave Systems
Timothy Barth, NASA Ames
Jerry Chow, IBM
Sabre Kais, Purdue University Title:  “Near term applications of small scale quantum computing for quantum chemistry”

Abstract: The exact solution of the Schrödinger equation for atoms, molecules and extended systems continues to be a “Holy Grail” problem for the field of atomic and molecular physics since inception. Recently, breakthroughs have   been made in the development of hardware-efficient quantum optimizers and coherent Ising machines capable of simulating hundreds of interacting spins through an Ising-type Hamiltonian. One of the most vital questions associated with these new devices is: “Can these machines be used to perform electronic structure calculations?” In this talk I will discuss the possibility of mapping between the electronic structure Hamiltonian and the Ising Hamiltonian and present the simulation results of the transformed Ising Hamiltonian for small molecules such as H2, He2, HeH+,  LiH and H2O. Future directions for scaling up the simulations to larger systems will  be also discussed.

Biography: His research focuses on developing new methods for electronic structure and dynamics of atoms and molecules and quantum information and computation for chemistry.  He is a former director of the NSF Center for Chemical Innovation, “Quantum Information for Quantum Chemistry” ,  (2010-2013)  and in 2014 edited  volume 154  of Advances in Chemical Physics on “Quantum Information and Computation for Chemistry. He has a courtesy professorship appointments in Physics and Computer Science at Purdue, external research professor at Santa Fe Institute, a former director of QEERI theory group (2013-2017),   an elected Fellow of APS, AAAS,  Guggenheim and  received Sigma Xi Research Award in 2012.

David Keyes, KAUST
John Martinis, Google Abstract: The quantum-hardware group at Google is building superconducting qubit devices for quantum annealing, quantum simulation and gate-model quantum computing.  A large effort this year is focused on demonstrating quantum supremacy on a 49 qubit device.  Here the output of a quantum computer can only be checked with a large classical supercomputer, which is limited by the memory storage of the 2^49 state space.  I will show experimental data towards this demonstration from a 9 qubit adjustable-coupler “gmon” device, which implements the basic sampling algorithm of supremacy for a computational (Hilbert) space of about 500.  Fidelities in the 90% range indicate that huge Hilbert space computations should be possible with 20-49 qubit devices, which are presently being designed, built and tested.  We have also gone beyond checking whether our quantum computer is operating properly: a quantum-materials simulation shows that complex energy spectra can be accurately predicted on our quantum computer.

Biography: John Martinis pioneered research on superconducting quantum-bits as a graduate student at U.C. Berkeley.  He has worked at CEA France, NIST Boulder, and UC Santa Barbara.  In 2014 he was awarded the London Prize for low-temperature physics research on superconducting qubits.  In 2014 he joined the Google quantum-AI team, and now heads an effort to build a useful quantum computer.

Chris Monroe, University of Maryland
Eleanor Rieffel, NASA Ames
Chad Rigetti, Rigetti Corp.
Martin Roetteler, Microsoft
Rolando Somma, Los Alamos National Lab
Jeffrey Yepez, University of Hawaii


Organizing Committee:
Rupak Biswas, NASA Ames Research Center
Peyman Givi, University of Pittsburgh
Travis Humble, Oak Ridge National Laboratory
Yousuff Hussaini, Florida State University 
Mujeeb Malik, NASA Langley Research Center (Chair)
Joseph Morrison, NASA Langley Research Center
William Oates, Florida State University 


Agenda: Not available as yet.


Registration:  Click here to register.


Lodging: Attendees are responsible for their own lodging. For your convenience, here are some hotels in the surrounding area.

Embassy Suites Hotel – (757) 827-8200
1700 Coliseum Drive, Hampton, VA 23666

Courtyard by Marriott in Hampton – (757) 838-3300
1917 Coliseum Drive, Hampton, VA 23666

Candlewood Suites — (757)766-8976
401 Butler Farm Rd, Hampton, VA 23666

Hampton Inn Hampton-Newport News – 855-271-3622
3101 Coliseum Drive, Hampton, VA 23666

Holiday Inn Express Hampton Coliseum Central – 877-859-5095
1813 West Mercury Boulevard, Hampton, VA 23666 (Formerly Quality Inn)

Hilton Garden Inn Hampton Coliseum Central – 855-277-5057
1999 Power Plant Parkway, Hampton, VA 23666


Travel:  There are two major airports in the surrounding area: Newport News/Williamsburg International Airport (PHF) and Norfolk International Airport (ORF).



100 Exploration Way
Hampton, VA 23666