Scientists have created an algorithm to measure the productivity of quantum computers that allows time travel

Scientists have created an algorithm to measure the productivity of quantum computers that allows ti

A group of scientists have developed an algorithm and methodology for measuring the productivity of quantum computers and quantum systems based on an "anti-bach" effect.

"Travel in time" in quantum systems is purely conditional. This refers to the operation of systems with time-reversed dynamics. In other words, the system can be rolled back to the state of the past, first to the state of the future or vice versa. In classical mechanics, information is destroyed in such transitions. In quantum systems, it appears that information can be preserved with some minor changes. Simply put, by crushing a butterfly in a Polish past, the main hero will not return to a completely new and alien future. For quantum systems, there will be little change, no more moneys in the past.

A new method has been developed by scientists from the Los Alamos National Laboratory, Bin Yang, which determines how much information is lost from the quantum system due to decoherence and how much is saved by scrambling information.

" said Bin Jan, a quantum theorist from the Los Alamos National Laboratory.

Scrambling or reversible conversion of the digital stream to produce random sequence properties, such as encryption, is also used to model quantum information behaviour. For example, scrambling is widely used to model black hole behaviour that, due to the horizon of events, it is believed that nothing can return, but not information that takes into account its quantum base.

" said Jan.

Under normal conditions, decogeneration takes place over a short period of time -- in fact, any environmental noise is destroying the quantum states of the cubes and the information is lost. The scrambling allows these processes to be purchased. Moreover, the proposed algorithm gives a quantitative estimate of the decogeneration ratio and the information, which makes it possible to estimate fairly accurately the productivity of the quantum system and, in fact, leads to a very, very accurate bookmark for estimating quantum computers, which is a tool for improving these platforms.

The Los Alamos team demonstrated the protocol by modelling on IBM's cloud quantum computers. Prior to them, researchers could not clearly distinguish decogeneration from scrambling. Let's just say natural chaos and chaos looked the same for scientists. The new algorithm eliminates this gap and opens the way to the future.

From a practical point of view, the system works as follows. A quantum system with some subsystem is created. An algorithm evolves the entire system forward in time, causes a change in the "future" subsystem and then evolves the system backwards at the same time. The information in the future and present subsystem can be accurately estimated, and the closure of the data shows how much information has been saved by scrambled and how much has been lost by decoherence. The work is published in the publication and is only available by subscription.