Science

CCNY Team Breakthrough Quantum Algorithm

Google Quantum Computer. Credit: Google Quantum AI

Researchers led by City College of New York physicist Bojan Geemi have reported developing a quantum algorithm with the possibility of studying a class of multi-electron quantum systems using quantum computers. Their paper, titled “Establishing and Processing a Laughlin-Type = 1/3 Fractions of a Quantum Hall Case on a Quantum Computer with Linear Depth Circuits”, appears in the December issue of Quantum PRXJournal of the American Physical Society.

“Quantum physics is the fundamental theory of nature that leads to the formation of particles and the resulting matter around us,” said Ghimi, assistant professor in the Department of Science at New York University. “It is already known that when we have a large number of quantum particles, such as electrons in a metal, which interact with each other, new phenomena such as superconductivity appear.”

However, until now, according to Cloudy, the tools for studying systems with large numbers of interacting quantum particles and their new properties have been very limited.

Our research has developed a Which can be used to study a class of multi-electron quantum systems using quantum computers. Our algorithm opens a new place to use new quantum devices to study highly challenging problems to study with classic computers. Ghimi added that our results are new and stimulate many follow-up studies.

On For this advancement, Ghaemi, who also belongs to the Graduate Center, CUNY, noted: “Quantum computers have undergone large-scale developments over the past few years. The development of new quantum algorithms, regardless of their direct application, will contribute to the realization of applications of quantum computers.

“I believe the direct application of our findings is to provide tools for improvement Devices. Their real-life application would emerge when quantum computers could be used for everyday applications. “


Scientists are developing the first quantum algorithm to characterize noise across large systems


more information:

Armin Rahmani et al. Create and manipulate a Laughlin-type case = 1/3 quantum hall fractions on a quantum computer with linear depth circuits, Quantum PRX (2020). DOI: 10.1103 / PRXQuantum.1.020309

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CCNY Team Breakthrough Quantum Algorithm (2020, November 13)
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