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Quantum Computing in a Statistical Context
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DOI：10.1146/annurev-statistics-042720-024040.png)
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Abstract
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Quantum computing is widely considered a frontier of interdisciplinary research and involves fields ranging from computer science to physics and from chemistry to engineering. On the one hand, the stochastic essence of quantum physics results in the random nature of quantum computing; thus, there is an important role for statistics to play in the development of quantum computing. On the other hand, quantum computing has great potential to revolutionize computational statistics and data science. This article provides an overview of the statistical aspect of quantum computing. We review the basic concepts of quantum computing and introduce quantum research topics such as quantum annealing and quantum machine learning, which require statistics to be understood.
Keywords:
quantum annealing
quantum Boltzmann machine
quantum computation
quantum computational supremacy
quantum information
quantum statistics
Journal
IF:
8.7
Papers:
211
Citations:
2.4K
