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Conditional quantum operation of two exchange-coupled single-donor spin qubits in a MOS-compatible silicon device

Mateusz T. Ma̧dzik, Arne Laucht, Fay E. Hudson, Alexander M. Jakob, Brett C. Johnson, David N. Jamieson, Kohei M. Itoh, Andrew S. Dzurak and Andrea Morello ()
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Mateusz T. Ma̧dzik: School of Electrical Engineering and Telecommunications, UNSW Sydney
Arne Laucht: School of Electrical Engineering and Telecommunications, UNSW Sydney
Fay E. Hudson: School of Electrical Engineering and Telecommunications, UNSW Sydney
Alexander M. Jakob: School of Physics, University of Melbourne
Brett C. Johnson: School of Physics, University of Melbourne
David N. Jamieson: School of Physics, University of Melbourne
Kohei M. Itoh: Keio University
Andrew S. Dzurak: School of Electrical Engineering and Telecommunications, UNSW Sydney
Andrea Morello: School of Electrical Engineering and Telecommunications, UNSW Sydney

Nature Communications, 2021, vol. 12, issue 1, 1-8

Abstract: Abstract Silicon nanoelectronic devices can host single-qubit quantum logic operations with fidelity better than 99.9%. For the spins of an electron bound to a single-donor atom, introduced in the silicon by ion implantation, the quantum information can be stored for nearly 1 second. However, manufacturing a scalable quantum processor with this method is considered challenging, because of the exponential sensitivity of the exchange interaction that mediates the coupling between the qubits. Here we demonstrate the conditional, coherent control of an electron spin qubit in an exchange-coupled pair of 31P donors implanted in silicon. The coupling strength, J = 32.06 ± 0.06 MHz, is measured spectroscopically with high precision. Since the coupling is weaker than the electron-nuclear hyperfine coupling A ≈ 90 MHz which detunes the two electrons, a native two-qubit controlled-rotation gate can be obtained via a simple electron spin resonance pulse. This scheme is insensitive to the precise value of J, which makes it suitable for the scale-up of donor-based quantum computers in silicon that exploit the metal-oxide-semiconductor fabrication protocols commonly used in the classical electronics industry.

Date: 2021
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DOI: 10.1038/s41467-020-20424-5

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