Presentation
20 August 2020 Quantum-classical spin hybrids: leveraging spintronic tools for information processing applications
Author Affiliations +
Abstract
Quantum-classical spin hybrids composed of physical system with complimentary characteristics have enabled novel capabilities and functionalities within the realm of existing technology. One half of such hybrid systems is the quantum impurity spin with small spin quantum number such that its description is governed by the counter-intuitive laws of quantum mechanics. The other is a classical magnet with large spin quantum number such that its dynamics can be captured within the framework of classical physics. Such hybrids give rise to possibilities where controlling the degrees of freedom in one system can be leveraged to control dynamics in the other. Leveraging the demonstrated spintronic tools of classical magnet dynamics, we demonstrate two significant steps towards realizing a quantum network for information processing applications. One, a theoretically designed regime where electrical control of non-linear magnetization dynamics of a nanomagnet provides a local, coherent, and low-power drive to manipulate a coupled quantum impurity spin without introducing additional decoherence. Another, where we demonstrate via a joint theoretical and experimental effort, the electrical tuning of interaction between electrically-controlled propagating magnons in an extended magnet and a quantum impurity spin. The merits of such a hybrid system provide pathways to overcome the bottlenecks associated with local controllability of individual quantum spins in a quantum network and modulate the interaction mediating the two subsystems.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Avinash Rustagi, Abhishek B. Solanki, Shivam Kajale, Simeon Bogdanov, Neil R. Dilley, Tingting Shen, Punyashloka Debashis, Zhihong Chen, Joerg Appenzeller, Yong Chen, Vladimir M. Shalaev, and Pramey Upadhyaya "Quantum-classical spin hybrids: leveraging spintronic tools for information processing applications", Proc. SPIE 11470, Spintronics XIII, 114702B (20 August 2020); https://doi.org/10.1117/12.2567795
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KEYWORDS
Data processing

Spintronics

Nonlinear control

Quantum networks

Classical physics

Control systems

Magnons

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