Abstract

Quantum computing is implicated as a next-generation solution to supplement traditional von Neumann architectures in an era of post-Moore's law computing. As classical computational infrastructure becomes more limited, quantum platforms offer expandability in terms of scale, energy consumption, and native 3-D 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 article discusses emerging applications in quantum cryptography, quantum machine learning, quantum finance, quantum neuroscience, quantum networks, and quantum error correction.

Highlights

  • Quantum computing is the use of engineered quantum systems to perform computation, meaning physical systems comprised of quantum objects manipulated through configurations of logic gates

  • Technical breakthroughs are needed to deliver the quantum error correction required to progress from noisy intermediate-scale quantum (NISQ) devices to fully fault-tolerant quantum computing (FTQC).[1]

  • Quantum information science is a field with substantial progress and near-term opportunity, and risks

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Summary

Quantum Information Science

Melanie Swan and Frank Witte, University College London, WC1E 6BT, London, U.K. Renato P. dos Santos , Lutheran University of Brazil, 92425-900, Canoas, Brazil. 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. Quantum computing is the use of engineered quantum systems to perform computation, meaning physical systems comprised of quantum objects (atoms, ions, and photons) manipulated through configurations of logic gates. Technical breakthroughs are needed to deliver the quantum error correction required to progress from NISQ devices to fully fault-tolerant quantum computing (FTQC).[1] progress in many areas of foundational physics is enabling new technologies that translate to practical use in quantum computing, for example, a black-hole-on-a-chip formulation and experimental setups for testing quantum gravity in the laboratory.[2]

Superposition and Entanglement
QUANTUM CRYPTOGRAPHY
Entropic Uncertainty
QUANTUM MACHINE LEARNING
Fourier Neural Operators
Quantum Information Scrambling
QUANTUM FINANCE
Quantum Walks
Quantum Blockchains
QUANTUM NEUROSCIENCE
QUANTUM NETWORKS
Qubits and Qudits
Quantum Teleportation
QUANTUM ERROR CORRECTION
CONCLUSION
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