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      A Review of Hybrid Quantum Computational Substrates - A Fusion of Classical And Quantum Computational Substrates

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      In review
      research-article
        1 , 2 , , 3
      ScienceOpen Preprints
      ScienceOpen
      Quantum Computing, High-Performance Computing, Quantum Mechanics

            Abstract

            Through harnessing quantum mechanical phenomena, quantum computing substrates yields the promise of transcending new frontiers in confronting the world’s most intractable computational challenges requiring exponential computational power that exceeds that of today’s most powerful super-computers. The choreography of such quantum mechanical phenomena has catalysed accelerated advances in the emergence of a quantum computational substrate paradigm that yields the potential to solve some of humanities most complex problems through quantum speedup: in environment, agriculture, health, energy, climate, materials science, precision medicine, autonomous vehicles in smart cities, renewable energy and problems humanity has not yet even imagined. However, the manifestation of a practical quantum advantage across several of these areas is unlikely through the exclusive application of a quantum computational substrate. Quantum computational substrates will not replace classical computational substrates, instead, both technologies will synergistically complement each other where quantum computational substrate accelerators functions as a specialised co-processor to a classical computational substrate in computing workloads best suited for the quantum computer, in a heterogenous computational substrate ecosystem comprising other accelerators. This paper reviewed novel new frontiers at the fusion of quantum-classical computational substrates, and findings reveal that practical applications and research remain limited. The opportunity exists, in considering a heterogenous computational substrate ecosystem comprising other accelerators, for practical quantum advantage across a broader set of complex problem domains to be realised sooner

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            20 July 2023
            Affiliations
            [1 ] Microsoft, Redmond, Washington, 98052, USA;
            [2 ] School of Digital, Technologies and Arts, Staffordshire University, Stoke-on-Trent, Staffordshire, UK;
            [3 ] Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, UK;
            Author notes
            Author information
            https://orcid.org/0009-0003-8739-1808
            Article
            10.14293/PR2199.000251.v1
            2a7eddf2-a234-44c4-9593-55c8e22dda37

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 20 July 2023
            Categories

            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Quantum physics & Field theory,Computer engineering - Hardware,Artificial intelligence
            Quantum Mechanics,High-Performance Computing,Quantum Computing

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