Robotics & Machine Learning Daily News2024,Issue(Sep.17) :3-3.

Findings from University of Copenhagen in Quantum Dots Reported (Direct observat ion of a few-photon phase shift induced by a single quantum emitter in a wavegui de)

Robotics & Machine Learning Daily News2024,Issue(Sep.17) :3-3.

Findings from University of Copenhagen in Quantum Dots Reported (Direct observat ion of a few-photon phase shift induced by a single quantum emitter in a wavegui de)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in quantum dots. Acco rding to news originating from the University of Copenhagen by NewsRx correspond ents, research stated, “Realizing a sensitive photon-number-dependent phase shif t on a light beam is required both in classical and quantum photonics.” Financial supporters for this research include Danmarks Grundforskningsfond; Ec | Horizon 2020 Framework Programme; Bundesministerium Fur Bildung Und Forschung. Our news journalists obtained a quote from the research from University of Copen hagen: “It may lead to new applications for classical and quantum photonics mach ine learning or pave the way for realizing photon-photon gate operations. Nonlin ear phase-shifts require efficient light-matter interaction, and recently quantu m dots coupled to nanophotonic devices have enabled near-deterministic single-ph oton coupling. We experimentally realize an optical phase shift of 0.19p ± 0.03 radians ( 34 degrees) using a weak coherent state interacting with a single quan tum dot in a planar nanophotonic waveguide. The phase shift is probed by interfe rometric measurements of the light scattered from the quantum dot in the wavegui de. The process is nonlinear in power, the saturation at the single-photon level and compatible with scalable photonic integrated circuitry.”

Key words

University of Copenhagen/Cyborgs/Emerg ing Technologies/Machine Learning/Nanophotonics/Nanotechnology/Photonics/Ph ysics/Quantum Dots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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