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

Rieffel, Eleanor G.; Asanjan, Ata Akbari; Alam, M. Sohaib; Anand, Namit; Bernal Neira, David E.; Block, Sophie; Brady, Lucas T.; Cotton, Steve; Gonzalez Izquierdo, Zoe; 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

Future Generation Computer Systems

2024

DOI: 10.1016/j.future.2024.06.012

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

Eleanor G. Rieffel,

Ata Akbari Asanjan,

M. Sohaib Alam

et al.

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Quantum algorithms for scientific computing

Au-Yeung,

Camino,

Rathore

et al. 2024

Rep. Prog. Phys.

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Quantum computing promises to provide the next step up in computational power for diverse application areas. In this review, we examine the science behind the quantum hype, and the breakthroughs required to achieve true quantum advantage in real world applications. Areas that are likely to have the greatest impact on high performance computing (HPC) include simulation of quantum systems, optimization, and machine learning. We draw our examples from electronic structure calculations and computational fluid dynamics which account for a large fraction of current scientific and engineering use of HPC. Potential challenges include encoding and decoding classical data for quantum devices, and mismatched clock speeds between classical and quantum processors. Even a modest quantum enhancement to current classical techniques would have far-reaching impacts in areas such as weather forecasting, engineering, aerospace, drug design, and the design of ``green'' materials for sustainable development. This requires significant effort from the computational science, engineering and quantum computing communities working together.

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Quantum algorithms for scientific computing

Au-Yeung,

Camino,

Rathore

et al. 2024

Rep. Prog. Phys.

View full text Add to dashboard Cite

show abstract

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

Cited by 1 publication

References 120 publications

Quantum algorithms for scientific computing

Quantum algorithms for scientific computing

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