The Experts below are selected from a list of 1392 Experts worldwide ranked by ideXlab platform

James S Small - One of the best experts on this subject based on the ideXlab platform.

  • the Analogue alternative the electronic Analogue computer in britain and the usa 1930 1975
    2001
    Co-Authors: James S Small
    Abstract:

    Introduction 1. Analogue Computing Devices in the 19th and Early 20th Centuries 2. The Origins, Form and Function of Electronic Analogue Devices and Computers, 1937-1950 3. Electronic Analogue Computer Development, 1945-1955: Military Programmes, Aeronautics and Electronics 4. Commercialisation, Hybridisation and Competition: the Electronic and Hybrid Computer Industry in the USA, 1945-1975 5. The Origins, Commericialisation and Decline of Electronic Analogue and Hybrid Computing in Britain, 1945-1975 6. Electronic Analogue Computers and Engineering Culture 7. Negotiating a Place for Electronic Analogue Computers: the Analogue Versus Digital Debate. Conclusion.

J. Munro - One of the best experts on this subject based on the ideXlab platform.

  • REVIEW Quantum Analogue computing
    2015
    Co-Authors: M. Kendon, Kae Nemoto, J. Munro
    Abstract:

    We briefly review what a quantum computer is, what it promises to do for us and why it is so hard to build one. Among the first applications anticipated to bear fruit is the quantum simulation of quantum systems. While most quantum computation is an extension of classical digital computation, quantum simulation differs fundamentally in how the data are encoded in the quantum computer. To perform a quantum simulation, the Hilbert space of the system to be simulated is mapped directly onto the Hilbert space of the (logical) qubits in the quantum computer. This type of direct correspondence is how data are encoded in a classical Analogue computer. There is no binary encoding, and increasing precision becomes exponentially costly: an extra bit of precision doubles the size of the computer. This has important consequences for both the precision and error-correction requirements of quantum simulation, and significant open questions remain about its practicality. It also means that the quantum version of Analogue Computers, continuous-variable quantum Computers, becomes an equally efficient architecture for quantum simulation. Lessons from past use of classical Analogue Computers can help us to build better quantum simulators in future

S. Vakulenko - One of the best experts on this subject based on the ideXlab platform.

M. Kendon - One of the best experts on this subject based on the ideXlab platform.

  • REVIEW Quantum Analogue computing
    2015
    Co-Authors: M. Kendon, Kae Nemoto, J. Munro
    Abstract:

    We briefly review what a quantum computer is, what it promises to do for us and why it is so hard to build one. Among the first applications anticipated to bear fruit is the quantum simulation of quantum systems. While most quantum computation is an extension of classical digital computation, quantum simulation differs fundamentally in how the data are encoded in the quantum computer. To perform a quantum simulation, the Hilbert space of the system to be simulated is mapped directly onto the Hilbert space of the (logical) qubits in the quantum computer. This type of direct correspondence is how data are encoded in a classical Analogue computer. There is no binary encoding, and increasing precision becomes exponentially costly: an extra bit of precision doubles the size of the computer. This has important consequences for both the precision and error-correction requirements of quantum simulation, and significant open questions remain about its practicality. It also means that the quantum version of Analogue Computers, continuous-variable quantum Computers, becomes an equally efficient architecture for quantum simulation. Lessons from past use of classical Analogue Computers can help us to build better quantum simulators in future

D. Grigoriev - One of the best experts on this subject based on the ideXlab platform.