To solve most of the problems that scientists expect to be able to address in the future with Quantum computers capable of amending their own mistakes, such as optimization, those in the field of cryptography or artificial intelligenceit will be necessary have several million cubits. It can even, that hundreds of millions of cubits. The most advanced quantum processor currently IBM has itand it has just over a thousand cubits, so it is evident that many technological challenges remain that it is necessary to solve.
The interesting thing is that there is no single way to go through this path. Organizations that are investigating in the field of quantum computing work in several different cubits technologiesand each of them is in a different degree of development. IBM, Intel and Google are some of the big companies that have opted for superconductor cubits, but also do so smaller ones, such as Atlantic Quantum, IQM, Anyon Systems, Rigetti Computing or Bleximo.
In fact, if we stick to the number of companies that are working on this type of quantum bits it is reasonable to conclude that this is the technology that has greater support and greater investment, so, in some way, it is the one that goes in the lead. This strategy is probably what will help us to have more cubits, but it is also more prone to make mistakes than ion traps cubits, which are one of the alternatives to superconductors. In addition, these last cubits are characterized by working at a temperature of about 20 millikelvin, which are approximately -273 degrees Celsius, with the purpose of operating with the greater degree of isolation of the possible environment.
Ion traps are given great proteins
Ion traps are currently the main alternative to superconductor cubits. This is the technology in which they are working, among other companies, Ionq and Honeywell, and is characterized by using ionized atoms, and, therefore, with a non -neutral global electric charge. This property allows them to be isolated and confined inside an electromagnetic field, although this is only the starting point.
From here Ionq acts on the quantum state of its cubits with ion traps cooling them to reduce the level of computational noise and uses lasers just then to operate with them. However, it does not use a single laser; Use one for each ionand also a global laser that acts on all of them simultaneously. Honeywell also uses ionized and laser atoms, but the procedure used to establish the intertwining between two ions and act on them with a laser is different from that used by Ionq.
For scientists it is crucial to understand the folding of proteins that triggers Alzheimer’s or Parkinson Parkinson
Precisely a team of researchers from this last company and the German emerging company specialized in quantum quantum computing To do something amazing: Solve protein folding problems with up to 12 amino acids. To carry it out they designed a quantum optimization method that seeks to find the optimal configuration of protein folding.
Expressed in this way it seems complex, and it is, but the really important thing, and with what is worth it, it is that these quantum computers thanks to the appropriate algorithm are able to help scientists Understand the protein folding mechanism that triggers diseases such as Alzheimer’s or the Parkinson. And understand this phenomenon well is the first step towards the elaboration of effective treatment.
This result is very promising, but there is still a lot of work to do so that quantum computers help us in front of these diseases. On the one hand, folding models must evolve to be more reliable and realistic. And, in addition, the classic algorithm that is responsible for refining the results delivered by the quantum algorithm should be more precise. Even so, the work of these researchers is an exceptionally promising starting point.
Image | Ionq
More information | Arxiv
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