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Publication Detail
Quantum Information Science
  • Publication Type:
    Journal article
  • Authors:
    Swan M, Dos Santos RP, Witte F
  • Publisher:
    Institute of Electrical and Electronics Engineers (IEEE)
  • Publication date:
    03/12/2021
  • Pagination:
    1
  • Journal:
    IEEE Internet Computing
  • Status:
    Published
  • Language:
    English
  • Keywords:
    Quantum computing, Quantum entanglement, Machine learning, Entropy, Cryptography, Tensors, Qubit
  • Notes:
    This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Abstract
Quantum computing is implicated as a next-generation solution to supplement traditional von Neumann architectures in an era of post-Moores law computing. As classical computational infrastructure becomes more limited, quantum platforms offer expandability in terms of scale, energy-consumption, and native three-dimensional problem modeling. Quantum information science is a multidisciplinary field drawing from physics, mathematics, computer science, and photonics. Quantum systems are expressed with the properties of superposition and entanglement, evolved indirectly with operators (ladder operators, master equations, neural operators, and quantum walks), and transmitted (via quantum teleportation) with entanglement generation, operator size manipulation, and error correction protocols. This paper discusses emerging applications in quantum cryptography, quantum machine learning, quantum finance, quantum neuroscience, quantum networks, and quantum error correction.
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