New York University physicists in collaboration with Igor Zutic of the University of Buffalo and Alex Matos-Abiague of State Wayne University recently discovered an exciting new state of matter – topological superconductivity – that can be controlled in a way that can both calculate velocity into quantum computing and increase data storage.
As the scientists noted, this finding offers promising storage options in electronic devices and enhances quantum computing.
The work mainly focuses on quantum computation to make calculations much faster than classical computation. Conventional computers process digital bits in 0 and 1 formats, while quantum computers allocate quantum bits (qubits) to table any value between 0 and 1, exponentially increasing data processing capacity and speed.
During the study, scientists analyzed the transition of a quantum state from a conventional state to a new topological state, assessing the energy barrier between those states. They improved this by legitimately determining the signature characteristics of this transition in the order parameter that governs the new phase of topological superconductivity.
They focused on majorana particles, which are their antiparticles, and perceived the value in them as potentially capable of storing quantum information in a specific computing space where quantum information is protected from environmental noise.
However, no natural host material was discovered for these particles, called majorana fermons. So scientists have tried to construct platforms – i.e. New forms of matter – on which these calculations could be done.
Javad Shabani, an assistant professor of physics at New York University, said, “The discovery of topological superconductivity on a two-dimensional platform paves the way for the construction of scalable topological kbits not only to store quantum information but also to manipulate error-free quantum states. "
The discovery was reported in a paper on arXiv. The research was funded in part by a grant from the US Department of Defense Advanced Research Projects Agency.