Assessing and advancing the potential of quantum computing: A NASA case study

Rieffel, Eleanor G.; Asanjan, Ata Akbari; Sohaib Alam, M.; Anand, Namit; Neira, David Bernal; Block, Sophie; Brady, Lucas T.; Cotton, Steve; Izquierdo, Zoe Gonzalez; Grabbe, Shon; Gustafson, Erik; Hadfield, Stuart; Lott, P. Aaron; Maciejewski, Filip B.; Mandrà, Salvatore; Marshall, Jeffrey; Mossi, Gianni; Bauza, Humberto Munoz; Saied, Jason; Suri, Nishchay; Venturelli, Davide; Wang, Zhihui; Biswas, Rupak

doi:10.1016/j.future.2024.06.012

Assessing and advancing the potential of quantum computing: A NASA case study

Journal Article · Wed Jun 12 04:00:00 EDT 2024 · Future Gener.Comput.Syst.

DOI:https://doi.org/10.1016/j.future.2024.06.012· OSTI ID:2467496

Rieffel, Eleanor G. ^[1]; Asanjan, Ata Akbari ^[2]; Sohaib Alam, M. ^[3]; Anand, Namit ^[4]; Neira, David Bernal ^[3]; Block, Sophie ^[3]; Brady, Lucas T. ^[4]; Cotton, Steve ^[4]; Izquierdo, Zoe Gonzalez ^[3]; Grabbe, Shon ^[1]; Gustafson, Erik ^[3]; Hadfield, Stuart ^[3]; Lott, P. Aaron ^[3]; Maciejewski, Filip B. ^[3]; Mandrà, Salvatore ^[4]; Marshall, Jeffrey ^[3]; Mossi, Gianni ^[4]; Bauza, Humberto Munoz ^[4]; Saied, Jason ^[1]; Suri, Nishchay ^[3] more »

NASA, Ames
Google Inc.; NASA, Ames
NASA, Ames; Google Inc.
NASA, Ames; Rice U.

Quantum computing is one of the most enticing computational paradigms with the potential to revolutionize diverse areas of future-generation computational systems. While quantum computing hardware has advanced rapidly, from tiny laboratory experiments to quantum chips that can outperform even the largest supercomputers on specialized computational tasks, these noisy-intermediate scale quantum (NISQ) processors are still too small and non-robust to be directly useful for any real-world applications. In this paper, we describe NASA’s work in assessing and advancing the potential of quantum computing. We discuss advances in algorithms, both near- and longer-term, and the results of our explorations on current hardware as well as with simulations, including illustrating the benefits of algorithm-hardware co-design in the NISQ era. This work also includes physics-inspired classical algorithms that can be used at application scale today. We discuss innovative tools supporting the assessment and advancement of quantum computing and describe improved methods for simulating quantum systems of various types on high-performance computing systems that incorporate realistic error models. We provide an overview of recent methods for benchmarking, evaluating, and characterizing quantum hardware for error mitigation, as well as insights into fundamental quantum physics that can be harnessed for computational purposes.

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Research Organization:: Rice U.; NASA, Ames; Google Inc.

Sponsoring Organization:: US Department of Energy

DOE Contract Number:: AC02-07CH11359; 89243024CSC000002

OSTI ID:: 2467496

Report Number(s):: FERMILAB-PUB-24-0487-SQMS-V; oai:inspirehep.net:2801640; arXiv:2406.15601

Journal Information:: Future Gener.Comput.Syst., Journal Name: Future Gener.Comput.Syst. Vol. 160

Country of Publication:: United States

Language:: English

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Ising machines as hardware solvers of combinatorial optimization problems Mohseni, Naeimeh; McMahon, Peter L.; Byrnes, Tim Nature Reviews Physics, Vol. 4, Issue 6 https://doi.org/10.1038/s42254-022-00440-8	journal	May 2022
A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem Farhi, E.; Goldstone, J.; Gutmann, S. Science, Vol. 292, Issue 5516 https://doi.org/10.1126/science.1057726	journal	April 2001
A truncated Davidson method for the efficient “chemically accurate” calculation of full configuration interaction wavefunctions without any large matrix diagonalization Cotton, Stephen J. The Journal of Chemical Physics, Vol. 157, Issue 22 https://doi.org/10.1063/5.0115796	journal	December 2022
Noise-tolerant quantum speedups in quantum annealing without fine tuning Kapit, Eliot; Oganesyan, Vadim Quantum Science and Technology, Vol. 6, Issue 2 https://doi.org/10.1088/2058-9565/abd59a	journal	February 2021
Wishart planted ensemble: A tunably rugged pairwise Ising model with a first-order phase transition Hamze, Firas; Raymond, Jack; Pattison, Christopher A. Physical Review E, Vol. 101, Issue 5 https://doi.org/10.1103/PhysRevE.101.052102	journal	May 2020
Dual-map framework for noise characterization of quantum computers Sud, James; Marshall, Jeffrey; Wang, Zhihui Physical Review A, Vol. 106, Issue 1 https://doi.org/10.1103/PhysRevA.106.012606	journal	July 2022
Improved Classical Simulation of Quantum Circuits Dominated by Clifford Gates Bravyi, Sergey; Gosset, David Physical Review Letters, Vol. 116, Issue 25 https://doi.org/10.1103/PhysRevLett.116.250501	journal	June 2016

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