Electrical Control and Quantum Chaos with a High-Spin Nucleus in Silicon (Hardcover, 1st ed. 2021)

Nuclear spins are highly coherent quantum objects that were featured in early ideas and demonstrations of quantum information processing. In silicon, the high-fidelity coherent control of a single phosphorus (31-P) nuclear spin I=1/2 has demonstrated record-breaking coherence times, entanglement, and weak measurements. In this thesis, we demonstrate the coherent quantum control of a single antimony (123-Sb) donor atom, whose higher nuclear spin I = 7/2 corresponds to eight nuclear spin states. However, rather than conventional nuclear magnetic resonance (NMR), we employ nuclear electric resonance (NER) to drive nuclear spin transitions using localized electric fields produced within a silicon nanoelectronic device. This method exploits an idea first proposed in 1961 but never realized experimentally with a single nucleus, nor in a non-polar crystal such as silicon. We then present a realistic proposal to construct a chaotic driven top from the nuclear spin of 123-Sb. Signatures of chaos are expected to arise for experimentally realizable parameters of the system, allowing the study of the relation between quantum decoherence and classical chaos, and the observation of dynamical tunneling. These results show that high-spin quadrupolar nuclei could be deployed as chaotic models, strain sensors, hybrid spin-mechanical quantum systems, and quantum-computing elements using all-electrical controls.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	October 2021
First published:	2021
Authors:	Serwan Asaad
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	198
Edition:	1st ed. 2021
ISBN-13:	978-3-03-083472-2
Categories:	Books > Science & Mathematics > Physics > Atomic & molecular physics Books > Science & Mathematics > Physics > Quantum physics (quantum mechanics) > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
LSN:	3-03-083472-7
Barcode:	9783030834722

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