News

Reducing noise of quantum light below the sound of silence

18/02/2020

University: Australian National University

Authors Centre Participants: Ms. Jie Zhao, Prof. Ping Koy Lam, A. Prof. Ben C. Buchler

Other Source: ANU Newsroom

An international team of researchers has developed a technology that manipulates quantum states of light at noise levels that are quieter than the sound of silence.

The technology is an important development towards quantum computers, which could solve problems that are impossible for today’s computers. Quantum computers promise to drastically increase processing speeds compared with current state-of-the-art technology.

Scientists at The Australian National University (ANU), in collaboration with colleagues from Nanyang Technological University, National University of Singapore and Shanxi University, tested the technology in a series of scientific experiments.

Quantum mechanics predicts the presence of “vacuum noise” – a surprising phenomenon where silence does not equate to the complete absence of noise.

ANU Professor Ping Koy Lam is one of the lead senior researchers who developed the technology.

“Our device enables us to encode and manipulate information within a quantum state to a resolution that is typically drowned out by vacuum noise,” he said.

“Even in an empty, dark room, there is still noise in the form of energy that permeates all space. While imperceptible at everyday scales, the fluctuation of this energy can cause problems, by distorting the signal or information encoded in situations where extreme precision is required,” he said.

One way to reduce the effect of this vacuum noise is to use a light source known as “squeezed light”. Squeezed light is quieter than emptiness.

“Our team has been working on squeezed light for more than two decades. We have used this technique to increase sensitivity of optical measurements, such as in kilometre-long optical interferometers for detecting ripples in space and time known as gravitational waves,” Professor Lam said.

“Our focus in recent years has been to use this technique for information processing in quantum computing and encryption.”

The results of the research are published in Nature Photonics.

 

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