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Status : Active
Research Topic : Fuzzy computation
Socio-Economic Objective : National Security
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  • Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE240101033

    Funder
    Australian Research Council
    Funding Amount
    $449,744.00
    Summary
    Superconducting Circuits for Error-Resilient Quantum Computers . This project aims to build a new class of intrinsically error-resilient quantum bits, harnessing the power of superconducting and hybrid superconducting circuits. The core goal of this research is to improve the performance of modern quantum processors, in order to reap the benefits of their vast computational power in real world applications like cryptography, chemistry, machine learning and finance. The outcomes of this project a .... Superconducting Circuits for Error-Resilient Quantum Computers . This project aims to build a new class of intrinsically error-resilient quantum bits, harnessing the power of superconducting and hybrid superconducting circuits. The core goal of this research is to improve the performance of modern quantum processors, in order to reap the benefits of their vast computational power in real world applications like cryptography, chemistry, machine learning and finance. The outcomes of this project are expected to accelerate quantum computing efforts globally and generate critical insights into quantum circuit technology, thus expanding Australia’s capabilities in nanotechnology, superconducting quantum systems and quantum processing.
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    Active Funded Activity

    Australian Laureate Fellowships - Grant ID: FL190100167

    Funder
    Australian Research Council
    Funding Amount
    $2,895,366.00
    Summary
    The CMOS Quantum Processor: A path to scalable quantum computing. The project aims to develop a quantum computer processor based on a new technology developed by Professor Dzurak in 2014-15. Remarkably, the qubits, or processing elements, utilise the silicon metal-oxide semiconductor field-effect transistors that constitute today’s microprocessor chips, so existing production plants can be used to fast-track development. The project will realise proof-of-principle systems with 10-20 qubits, to r .... The CMOS Quantum Processor: A path to scalable quantum computing. The project aims to develop a quantum computer processor based on a new technology developed by Professor Dzurak in 2014-15. Remarkably, the qubits, or processing elements, utilise the silicon metal-oxide semiconductor field-effect transistors that constitute today’s microprocessor chips, so existing production plants can be used to fast-track development. The project will realise proof-of-principle systems with 10-20 qubits, to resolve critical issues related to readout, error correction, and long-distance on-chip coupling, to take the technology to a commercial-ready stage. Quantum computing is one of the great scientific challenges of this century, with important applications in pharmaceutical design, finance and national security.
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