The advantage of Quantum is the next goal at the speed of the new computer age

The competition is in the search for the first use of quantum computing. It can be relatively simple compared to the great potential of technology: the development of computer-generated power that can quickly solve any problem. But many in the field believe that the most important thing will be achieved within two years, making the rush to be the first to bring it to the public.

Since 1982, when physicist Richard Feynman described how the phenomenon of quantum mechanics can be used to transform computers, much interest has been focused on the fact that the quantum system is superior to modern systems – a phenomenon known as quantum. greatness.

Google said it did so two years ago. However, its demonstration did not take the real problem – a calculation that would have been impossible for an old computer to do away with – and IBM and others soon showed that old computers could be modified to eliminate some of the perceived advantages of Google system.

Since then, many researchers have shifted their focus from one thing to another. Known as quantum advantage, this is a time when machines use technology to bring about gradual changes to eliminate computer-assisted operation.

The first use of the multiplicity opportunity will legally establish years of multiplication, predicted Peter Chapman, chief executive of IonQ, which in 2021 became the first computing company to be listed on Wall Street. He compared it to the VisiCalc spreadsheet program, which just happened suddenly in 1979 “made the PC a business-based device” and started the era of computer computing.

The prospect of finding a way to use the technology has boosted the company in recent months and led to competition to be the first, says Matt Johnson, chief executive of QC Ware, a quantum software development company. “The challenge is to be one of the first to help business clients get faster,” he said.

The evolution of the industrial equipment was due to the evolution of quantum hardware machines announced at the end of 2021, as well as a comparison of the models available two years from now.

Hardware has seen 10 changes over the past two years, according to Will Oliver, a professor at the Massachusetts Institute of Technology. Speaking at a recent Q2B computer support conference in Silicon Valley, he said this has raised a new question for the industry: whether it is close to developing “commercial-linked algorithms”.

The modern quantum machine is known as the NISQ machine, short for mid-quantum noise. Their number of quantum bits, or qubits, is still small, and the qubits cannot store their quantum states for several microseconds, something that causes errors, or “noise”, to calculate. Yet even this can be used to bring about a small but significant development in addressing the realities of the world, according to the people who work in technology.

“If you were using it to diagnose cancer, and you could have a 2 percent known defect, would you be using a smaller one for your patients?” said Christopher Savoie, chief executive of Zapata, a multinational development company.

IBM in November released its first application for 127 qubits and confirmed a road map that said it would see an increase of more than 1,000 qubits in two years.

“Being able to show more opportunities in the next two years is possible,” said Dario Gil, chief research officer at IBM. While acknowledging that it is “an open question” whether the remaining technical challenges can be overcome, he said the advancement of Hardware and improved algorithm design opened the way for noise reduction in modern systems to be effective.

Some say they are in the same way. Rigetti Computing, an innovator that plans to go public with sales at a specialized purchasing company, announced the 80-qubit system in December, following a new design that integrates two 40-qubit processors.

With the new infrastructure, “we expect to have about 1,000 qubits in 2024, and 4,000 qubits in 2026”, says Chad Rigetti, chief executive of the company. “We expect the system to lead us to the best of both worlds.”

Technology, while unable to support successful programs, will place the most powerful tools in the hands of researchers. This will help to understand how to create effective systems, he and others said.

IBM said it has 27 systems in place, and that 170 corporations, including many companies, are using them for research.

“Our machines are now at a speed and scale with functionality where they are able to place and represent real problem situations, rather than play problems,” Rigetti said. This made it possible to demonstrate how they work in tackling the challenges of modern high-speed computers, giving researchers their first understanding of the process of maximizing opportunities, he added.

The much-anticipated use of quantum computers – comparing complex molecules, paving the way for advanced technologies such as drug discovery and new battery technology – is possible beyond the limits of original systems, according to experts in the field.

Unless there is a “eureka moment”, computers capable of replicating these images are at least three years old, said Ilyas Khan, chief executive of Quantinuum, a company formed by the recent merger of Cambridge Quantum and Honeywell’s quantum computing division.

Instead, he and others argued that much interest in a short period of time had shifted and attempted to use more advanced computer-based technologies to improve machine learning, a process that is behind many modern technologies. Existing large sets that are already available to support machine learning, combined with size and problem solving, have made the session well-prepared, Rigetti said.

Recent work in developing more efficient quantum algorithms focuses on factors such as solving optimization problems, and selecting one item from a large data group – methods that can be used to simulate the weather, or to detect potential credit card fraud. Goldman Sachs has been one of the few banks to use technology to improve pricing, while Volkswagen has explored ways to expand its manufacturing processes.

Whether the original use of quantum computing comes from one of these companies, or one of the other banks, pharmaceutical companies or manufacturers trying to use technology, few doubt that the competition is now.