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  • Sustainable Blind Quantum Computing

    Sustainable Blind Quantum Computing by Ganguly, Srinjoy; Bhatia, Surbhi; Kumar, Adarsh;

    Series: Quantum Computing;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 149.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        62 191 Ft (59 230 Ft + 5% VAT)
      • Discount 20% (cc. 12 438 Ft off)
      • Discounted price 49 753 Ft (47 384 Ft + 5% VAT)

    62 191 Ft

    db

    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher De Gruyter
    • Date of Publication 18 August 2025

    • ISBN 9783111263915
    • Binding Hardback
    • No. of pages350 pages
    • Size 240x170 mm
    • Language English
    • Illustrations 42 Illustrations, black & white; 42 Illustrations, color
    • 688

    Categories

    Long description:

    Quantum computing systems are powerful for allowing a client to perform any quantum computations from a remote quantum server while concealing the structure and content of the computation fall under the category of blind quantum computing (BQC). In BQC, the client delegates the quantum processing to one or more powerful quantum servers while retaining privacy over the input, computation and output. This makes it suitable for secure quantum cloud computing. This feature is powerful to ensure that even untrusted servers cannot learn the details of the user's computation. With quantum computing, there is a fast-growing need to transition from general-purpose quantum systems to customized architectures tailored to specific application requirements. This transition is critical while considering sustainability goals and financial limitations. With this advanced computing architecture, a custom system can optimize energy use, hardware complexity, and resource allocation to better serve individual user needs while staying within budgetary boundaries.

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