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A NASA Perspective on Quantum AI, Error Correction, and BeyondQuantum 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. We discuss the prospects for quantum computing and AI, highlighting advances in algorithms, both near- and longer-term. Quantum error correction is critical to the realization of any such vision. The talk with touch on some recent exciting advanced in quantum error correction, particularly in dynamical codes. The talk will conclude with an example of how the combination of quantum computing and artificial intelligence can help probe fundamental aspect of quantum physics.
Document ID
20240015329
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Eleanor Rieffel
(Ames Research Center Mountain View, United States)
Date Acquired
November 30, 2024
Subject Category
Computer Programming and Software
Meeting Information
Meeting: The Roadmap to Quantum Value
Location: Santa Clara, CA
Country: US
Start Date: December 10, 2024
End Date: December 12, 2024
Sponsors: Q2B
Funding Number(s)
WBS: 199008.02.01.42.A528.24
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
Single Expert
Keywords
quantum optimization algorithms and sampling
quantum-compatible machine learning
quantum computing for simulation
tools for quantum computing
mechanisms for quantum computation
quantum computing
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