A new quantum data classification protocol brings us nearer to a future ‘quantum internet’

Physics
quantum
Credit: CC0 Public Domain

More

Quantum-based communication and computation technologies promise unprecedented applications, such as unconditionally secure communications, ultra-precise sensors, and quantum computers capable of solving specific problems with a level of efficiency impossible to reach by classical computers. In recent times, quantum computers are also envisioned as nodes in a network of quantum devices, where connections are established via quantum channels and data are quantum systems that flow through the network, thus setting the bases for a future “quantum internet.”

With the design of these quantum information networks come new theoretical challenges, given that it is necessary to establish optimised automated information treatment protocols to work with quantum data, in the same way as current communication networks automatically manage information.

UAB researchers have had to deal with one of these challenges for the first time: the problem with sorting data from a quantum systems according to the state in which they were prepared. The researchers have devised an optimal procedure that can identify clusters of identically prepared .

The protocol developed by researchers at the UAB shows a natural connection to an archetypical use case of classical machine learning: clustering data samples according to whether they share a common underlying probability distribution. The problem is similar to how a classical discerns the origin of different sounds captured simultaneously by a microphone placed on the street. The computer can recognise patterns and discern a conversation, traffic, and a street musician. However, unlike soundwaves, identifying patterns in quantum data is much more challenging, since a mere observation only provides partial information and irretrievably degrades the data in the process.

A new quantum data classification protocol brings us nearer to a future 'quantum internet'
Schedule of the quantum data classification protocol. Credit: UAB

More

Physicists at the UAB were also able to compare the performances of classical and quantum protocols. According to the researchers, the new protocol by far outperforms classical strategies, particularly for large dimensional data.

This proposal represents a new step towards quantum information networks, since it sets a solid theoretical framework on what is physically possible in the field of automated classification and distribution of quantum information. The research was published today in the journal Physical Review X and is authored by researchers from the Quantum Phenomena and Information Unit at the UAB Department of Physics Gael Sentís, Àlex Monràs, Ramon Muñoz-Tàpia, Jon Calsamiglia and Emilio Bagan.


Explore further

Spreading light over quantum computers


More information:
Gael Sentís et al. Unsupervised Classification of Quantum Data. Phys. Rev. X 9, 041029 – Published 8 November 2019 DOI: 10.1103/PhysRevX.9.041029

Citation:
A new quantum data classification protocol brings us nearer to a future ‘quantum internet’ (2019, November 8)
retrieved 8 November 2019
from https://phys.org/news/2019-11-quantum-classification-protocol-nearer-future.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.

Articles You May Like

ELeCt-ing a better candidate for chemo delivery
Discovery of a new type of particle beam instability
Could the mysteries of antimatter and dark matter be linked?
Sydney region faces ‘catastrophic’ bushfire threat
Nearly half of accused harassers can return to work