Designing a million-qubit quantum computer using a resource performance simulator

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2015-12-01

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© 2015 ACM 1550-4832/2015/12-ART4615.00.The optimal design of a fault-Tolerant quantum computer involves finding an appropriate balance between the burden of large-scale integration of noisy components and the load of improving the reliability of hardware technology. This balance can be evaluated by quantitatively modeling the execution of quantum logic operations on a realistic quantum hardware containing limited computational resources. In this work, we report a complete performance simulation software tool capable of (1) searching the hardware design space by varying resource architecture and technology parameters, (2) synthesizing and scheduling a fault-Tolerant quantum algorithm within the hardware constraints, (3) quantifying the performance metrics such as the execution time and the failure probability of the algorithm, and (4) analyzing the breakdown of these metrics to highlight the performance bottlenecks and visualizing resource utilization to evaluate the adequacy of the chosen design. Using this tool, we investigate a vast design space for implementing key building blocks of Shor's algorithm to factor a 1,024-bit number with a baseline budget of 1.5 million qubits. We show that a trapped-ion quantum computer designed with twice as many qubits and one-Tenth of the baseline infidelity of the communication channel can factor a 2,048-bit integer in less than 5 months.

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10.1145/2830570

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Ahsan, M, R Van Meter and J Kim (2015). Designing a million-qubit quantum computer using a resource performance simulator. ACM Journal on Emerging Technologies in Computing Systems, 12(4). 10.1145/2830570 Retrieved from https://hdl.handle.net/10161/11508.

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Kim

Jungsang Kim

Schiciano Family Distinguished Professor of Electrical and Computer Engineering

Jungsang Kim leads the Multifunctional Integrated Systems Technology group at Duke University. His main area of current research is quantum information sciences, where his group uses trapped atomic ions and a range of photonics technologies in an effort to construct a scalable quantum information processors and quantum communication networks. His research focuses on introduction of new technologies, such as micro fabricated ion traps, optical micro-electromechanical systems, advanced single photon detectors, compact cryogenics and vacuum technologies, towards a functional integration of quantum information processing systems.


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