Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session W31: Continuously Measured Systems and Driven-dissipative Phenomena
3:00 PM–6:00 PM,
Thursday, March 7, 2024
Room: 102C
Sponsoring
Units:
GSNP DQI DCMP
Chair: Felix Binder, Trinity College Dublin; Joseph Smiga, University of Rochester
Abstract: W31.00011 : Implementation of a periodic quantum clock based on coherent feedback*
5:24 PM–5:36 PM
Presenter:
Stefan Zeppetzauer
(University of Queensland)
Authors:
Stefan Zeppetzauer
(University of Queensland)
Leonardo Assis Morais
(Univ of Queensland)
Xin HE
(University of Queensland)
Gerard J Milburn
(Univ of Queensland)
Arkady Fedorov
(University of Queensland)
We realise a new type of periodic quantum clock based on coherent feedback between two coupled resonators. As the feedback is not done via readout, there is no measurement-induced noise, allowing for the characterisation of the system’s inherent quantum noise and its effects on the clock's thermodynamical and metrological properties.
We implement the coherent feedback clock on a superconducting circuit consisting of two coupled high-Q coplanar resonators, where one is rendered nonlinear by a Josephson junction embedded in the centre conductor. This provides the nonlinearity necessary for a periodic clock. We show the existence of limit cycles in the low-power regime, where quantum fluctuations become the dominant noise source, and demonstrate the system's applicability as a new type of quantum clock. Specifically, we show the relation between dissipated energy and clock resolution, and how quantum fluctuations in the feedback cycle affect the clock tick accuracy.
In addition, our clock is a candidate for the implementation of spiking neural networks, a novel deep learning model that mimics the behaviour of biological neurons and shows promising advantages in dynamic learning tasks compared to conventional perceptron models.
*EQUS, FQxI
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