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International Conference on Solid State Devices and Materials (SSDM)

Semiconductor Isotope Engineering of Silicon and Diamond for Quantum Computation and Sensing

Kohei M. Itoh, Junko Ishi‐Hayase, H. Watanabe, S. Shikata

Published Sep 18, 2015• 0 citations
Publisher
DOI
10.7567/ssdm.2013.e-4-4

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Abstract Some of the stable isotopes of silicon and carbon have zero nuclear spin, whereas many of the other elements that constitute semiconductors consist entirely of stable isotopes that have nuclear spins. Silicon and diamond crystals composed of nuclear-spin-free stable isotopes (28Si,30Si, or12C) are considered to be ideal host matrixes to place spin quantum bits (qubits) for quantum-computing and -sensing applications, because their coherent properties are not disrupted thanks to the absence of host nuclear spins. The present paper describes the state-of-the-art and future perspective of silicon and diamond isotope engineering for development of quantum information-processing devices.
Quantum computing represents a transformative leap in computational power, capable of solving problems beyond the reach of classical computers. This chapter focuses on the crucial role of semiconductor advancements in developing quantum computing, highlighting key technological breakthroughs and engineering challenges. It begins with an overview of quantum computing principles, emphasizing qubits' unique properties like superposition and entanglement, which enable parallel computations. The chapter then delves into semiconductor-based qubits, including silicon-based quantum dots, superconducting qubits, and spin qubits, exploring their operational principles, fabrication techniques, and performance metrics. It also examines material science innovations such as isotopically purified silicon and silicon-germanium heterostructures, essential for qubit stability and scalability. Additionally, the chapter addresses engineering challenges like quantum error correction and the integration of quantum and classical computing systems.