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The rapid development you are experiencing Quantum computing He is gradually dismantling the opinions that question the potential of this discipline. One of the biggest challenges to those who face is the need for quantum computers to be able to amend your own mistakesand three different studies defend how close we are to achieve.
A Australian quantum research group, another Dutch and a third Japanese team published in Nature In January 2022 as many scientific articles in which they explain in detail the procedure they used to put superconductor cubits that have precision greater than 99%. When errors are so rare it is much easier to correct them.
In the other saucer of the balance, Gil Kalai remains erect, an Israeli mathematician and teacher at Yale who He has predicted that quantum computers will never be able to amend their mistakes. According to this researcher, the increase in the number of states of quantum systems and their complexity will cause them to end up behaving like classical computers, so the superiority of the former will end up evaporating.
The MIT has taken a firm step forward
Before we investigate the achievement of scientists from the Massachusetts Institute (Mit) It is worth briefly reviewing what one of the companies that is contributing the most contributing to the development of quantum computers: IBM has achieved in the field of errors. The itinerary that published in December 2023 He anticipated that before the end of 2024, the Heron (5K) platform endowed with error mitigation would be ready. And this company He fulfilled his promise.
The main problem facing quantum computers in the field of error correction is noise, understood as the disturbances that can alter the internal state of the cubits and introduce calculation errors. The strategy for which many of the research groups that are involved in the development of quantum computers are opting for monitoring the operations carried out by the cubits for Identify real -time errors and correct them. The problem is that from a practical point of view this strategy is very challenging.
The mitigation of errors allows the cubits to carry out their calculations even if they have errors and only at the end of the process it is inferred what the correct result is
However, there is an alternative path. It is known as ‘error mitigation’, and, very broadly speaking, instead of monitoring in real time what happens in the cubits allows them to carry out their calculations even if they have errors and only at the end of the process it is inferred what the correct result is. This technique is already delivering very promising results. In fact, this characteristic is what allows the quantum processor to argue the other quantum chips developed by IBM so far.
What MIT researchers propose in the article in the article that they have published in Nature Communications It is a different approach to the correction of errors. In fact, in their text they describe how they have achieved Attach artificial atoms and photons with the purpose of using this mechanism to process quantum information at a higher speed than the prototypes of current quantum machines.
This peculiar type of coupling between light and matter can be used to make very robust cubits and capable of processing information up to ten times faster than a quantum processor such as those currently available. Yufeng Ye, the main author of this article, He maintains that “This technology would eliminate one of the bottlenecks of quantum computers. It is usually necessary to measure the results of the calculations between error correction rounds.”
In this statement this scientist has done something very important: he has established a relationship between the strong coupling of light and matter that can presumably be used to produce a new type of cubits and error correction. “This strategy could accelerate the moment in which we will reach quantum tolerant to failures and we can develop real applications with practical value,” says Ye. It sounds really good, although we should not overlook that what these scientists have done at the moment is a demonstration of fundamental physics. The challenge from now on is to bring this technology to practice.
Image | IBM
More information | Nature Communications
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