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Establishing and exploiting Quantum advantage in superconducting Quantum annealer

Establishing and exploiting Quantum advantage in superconducting Quantum annealer
建立和利用超导量子退火炉的量子优势
批准号:
580721-2022
负责人:
Franz, MarcelM
金额:
$16.22万
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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英文摘要
One of the key challenges facing the nascent field of quantum computation is the question of quantum advantage: By directly exploiting the laws of quantum mechanics is the new device capable of performing certain computational tasks more efficiently than the best available algorithm running on classical hardware? Answering this question for a particular quantum device has proven surprisingly difficult, in part because quantum advantage is often tested using artificial problems designed to be tractable for the quantum device but difficult to solve classically. For such problems it is not always obvious what the best classical algorithm might be and the verdict regarding quantum advantage can be reversed later when a better classical algorithm is found and deployed. In the proposed program of research we will study the quantum advantage in the quantum annealer developed by D-Wave Systems, a Burnaby BC-based quantum computing company, by employing state-of-the-art Tensor Network simulation techniques. The annealer architecture implements the transverse-field Ising model with individually adjustable couplings between superconducting qubits and very flexible connectivity, capable of simulating 1, 2 and 3-dimensional systems with up to ~5000 quantum spins. The D-Wave team has already established various aspects of quantum advantage as compared to certain classical algorithms, including the exact numerical diagonalization and quantum Monte Carlo. Our UBC-based team possesses extensive experience in Tensor Network (TN) methods which have not yet been applied to this problem despite being the most powerful known algorithm. In close collaboration with D-Wave team members we will work to adapt and refine the existing TN methods to the task of benchmarking the quantum annealer, then analyze the outcome of direct comparisons between the two and finally exploit the advantage by solving hard problems in quantum condensed matter physics and in real-life applications. The expected outcome will propel the Canadian quantum annealing effort to the world-leading position in this competitive field.
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