CCNY’s team in quantum algorithm progress


CCNY and Quantum Algorithm Progress Partners

Google Quantum Computer. Credit: Google Quantum AI

Researchers led by Pouan Gemina, a physicist at City College Lodge York, New York, have reported the development of a quantum algorithm with the potential to classify many electron quantum systems using quantum computers. His paper in the December issue, entitled “Creating and Manipulating Fractional Quantum State State પર = 1/3 Fractional Quantum State State on Quantum Computers with Linear Depth Circuits”. PRX Quantum, Journal of the American Physical Society.

“Quantum physics is a fundamental principle of nature that leads to the formation of atoms and results in the formation of matter around us,” said Gaumi, an assistant professor in the science department at CCNY. “It’s already known that when we have a macroscopic number of quantum particles like electrons in a metal that interact with each other, novels like superconductivity come out.”

However, so far, according to Emina, the tools for studying quantum particles with large numbers of interactions and systems with their novel properties are extremely limited.

“Our research has led to the development of a quantum algorithm that can be used to study the class of many electron quantum systems using a quantum computer. The venue opens. “Our results are new and encourage many follow-up studies,” Game added.

On possible applications for this progress, Gaumi, who is also affiliated with the Graduate Center, noted CUNY: “Quantum computers have developed extensively over the past few years. Quantum computers.

“I believe that the direct application of our results is to provide tools for improving quantum computing devices. Their direct real-life application comes when quantum computers can be used for everyday life applications.”


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More info:
Armin Rahmani et al. Creating and manipulating fractional quantum hole states on a quantum computer with laffin-type Creat = 1/3 linear dep depth circuits, PRX Quantum (2020). DOI: 10.1103 / PRXQuantum.1.020309

Provided by City College of New York

Testimonial: CCNY team in Quantum Algorithm Progress (November 13, 2020) Retrieved November 14, 2020 from https://phys.org/news/2020-11-ccny-team-quantum-algorithm-breakthrough.html

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