Thursday , January 21 2021

New drug substance discovered

Physicists at New York University in collaboration with Igor Zutic at the University of Buffalo and Alex Matos-Abiague at Wayne State University have recently unveiled an exciting new state of matter-topological superconductivity that can be controlled in ways that both could speed quantum computation and boost storage.

As scientists have noted, this breakthrough offers promising storage capabilities in electronic devices and enhancement of quantum computing.

The work mainly focuses on quantum computing to make calculations significantly faster than conventional computing. Conventional computers process digital bits in the form of 0s and 1s, while quantum computers distribute quantum bits (qubits) to tabulate any value between 0 and 1, exponentially increasing the capacity and speed of data processing.

During the study, researchers analyzed a transition of a quantum state from its conventional state to a new topological state and estimated the energy barrier between these states. They improved this by legitimately determining the signature properties of this transition in the order parameter managing the new topological superconducting phase.

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

However, no natural host material for these particles called Majorana fermions was detected. Scientists thus attempted to construct platforms – ie. new kinds of substance – on which these calculations could be performed.

Javad Shabani, an assistant professor of physics at New York University, said: “The discovery of topological superconductivity in a two-dimensional platform paves the way for building scalable topological qubits to not only store quantum information, but also to manipulate quantum states that are free from errors. "

The discovery is reported in a paper on arXiv. The research was partially funded by a grant from U.S. Department of Defense & # 39; s Defense Advanced Research Projects Agency.

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