Monday , January 18 2021

A new state of matter has been discovered

New York University physicists, in collaboration with Igor Zutich of the University of Buffalo and Alex Matos-Abiag of Wayne University, have recently revealed an exciting new state of matter – topological superconductivity – that can be controlled as quickly as can be calculated calculations and increasing storage.

As the researchers noted, this breakthrough offers promising storage options for electronic devices and improved quantum computing.

The work focuses mainly on quantum calculations to make the calculations much faster than conventional calculations. Conventional computers process digital bits in the form of 0s and 1s, while quantum computers deploy quantum bits (cubes) to calculate any value between 0 and 1, exponentially raising data processing capacity and speed.

During the study, scientists analyzed the transition of a quantum state from its conventional state to a new topological state, assessing the energy barrier between these states. They improved this by legitimately defining the signature characteristics of this transition in the order parameter that administers the new phase of topological superconductivity.

They focused on marjoram particles, which are their antiparticles, and viewed the value in them as potentially capable of storing quantum information in a particular computing space where quantum information is protected from environmental noise.

However, no natural host material was found for these particles, called marjoram fergons. In this way, scientists sought to develop platforms – ie. new forms of matter – on which these calculations could be made.

Javad Shabani, an associate professor of physics at New York University, said: "The discovery of topological superconductivity in a two-dimensional platform paves the way for the construction of scalable topological cubes that not only store quantum information but also manipulate quantum states. "

The discovery was reported in an article by arXiv. The study was funded in part by a grant from the US Department of Defense's Advanced Research Projects Agency.

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