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Bounds to electron spin qubit variability for scalable CMOS architectures

Jesús D. Cifuentes, Tuomo Tanttu, Will Gilbert, Jonathan Y. Huang, Ensar Vahapoglu, Ross C. C. Leon, Santiago Serrano, Dennis Otter, Daniel Dunmore, Philip Y. Mai, Frédéric Schlattner, MengKe Feng, Kohei M. Itoh, N. V. Abrosimov, Hans-Joachim Pohl, M. L. W. Thewalt, Arne Laucht, Chih Hwan Yang, Christopher C. Escott, Wee Han Lim, Fay E. Hudson, Rajib Rahman, Andrew S. Dzurak, André Saraiva

2024Nature Communications19 citationsDOIOpen Access PDF

Abstract

Abstract Spins of electrons in silicon MOS quantum dots combine exquisite quantum properties and scalable fabrication. In the age of quantum technology, however, the metrics that crowned Si/SiO 2 as the microelectronics standard need to be reassessed with respect to their impact upon qubit performance. We chart spin qubit variability due to the unavoidable atomic-scale roughness of the Si/SiO 2 interface, compiling experiments across 12 devices, and develop theoretical tools to analyse these results. Atomistic tight binding and path integral Monte Carlo methods are adapted to describe fluctuations in devices with millions of atoms by directly analysing their wavefunctions and electron paths instead of their energy spectra. We correlate the effect of roughness with the variability in qubit position, deformation, valley splitting, valley phase, spin-orbit coupling and exchange coupling. These variabilities are found to be bounded, and they lie within the tolerances for scalable architectures for quantum computing as long as robust control methods are incorporated.

Topics & Concepts

QubitScalabilityCMOSSpin (aerodynamics)ElectronComputer sciencePhysicsQuantum mechanicsOptoelectronicsQuantumDatabaseThermodynamicsQuantum and electron transport phenomenaQuantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Bounds to electron spin qubit variability for scalable CMOS architectures | Litcius