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IEEJ Transactions on Fundamentals and Materials

Research and Development of Quantum Computers Based on Superconductor and Semiconductor Devices

Tsuyoshi Yamamoto, Takahiro Mori

Published Apr 30, 2022• 0 citations
Publisher

Abstract

Quantum computer is able to compute some of the hard problems which cannot be solved by conventional ones. Toward practical application, large-scale integration of qubits is necessary. Solid-state devices, such as superconductor and semiconductor qubit devices, are promising candidates to realize the large-scale integration. This paper reviews the current status of research and development of quantum computers based on superconductor and semiconductor devices.

DOI
10.1541/ieejfms.142.183

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Quantum computer is able to compute some of the hard problems which cannot be solved by conventional ones. Toward practical application, large-scale integration of qubits is necessary. Solid-state devices, such as superconductor and semiconductor qubit devices, are promising candidates to realize the large-scale integration. This paper reviews the current status of research and development of quantum computers based on superconductor and semiconductor devices.
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Superconductive technology is one of the most promising approaches to quantum computing because it offers devices with little dissipation, ultrasensitive magnetometers, and electrometers for state readout, large-scale-integration, and a family of classical electronics that could be used for quantum bit (qubit) control. The challenges this technology faces, however, are substantial: for example, control of the qubit to a part in /spl sim/10/sup 4/ must be accomplished with analog control pulses. But even after this is done, the accuracy is limited by the unavoidable decay of quantum information in the system. Recent experiments suggest the time over which this decay occurs is <1 /spl mu/s, though it is expected to lengthen as experimental methods improve. A 1-/spl mu/s decay time would mandate a very difficult to achieve maximum time of /spl sim/100 ps per analog operation. Thus, quantum computing is, simultaneously a promising technology for solving certain very hard problems in computer science and a daunting challenge for those working to develop that technology.
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