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Quantum advantage is the next step in the drive to usher in a new era of computing – Guide
The first practical application of quantum computing is what we are looking for. It may fall short of the full potential of the technology, which includes computers capable of solving any problem at breakneck speed. However, many in the profession feel they will not be able to reach such a high goal in the next two years, which has led to a rush to bring it to the public first.
Since 1982, when physicist Richard Feynman first proposed the use of strange quantum mechanics. features to transform computing, quantum computers have consistently outperformed today’s “classic” systems. Received a lot of attention. hegemony. Two years ago, Google claimed to have reached that milestone. However, the demo didn’t address a real-world problem (calculations that traditional computers couldn’t solve). IBM and others quickly demonstrated that traditional computers can be modified to counter some of the potential benefits of Google’s system.
Many scholars have since turned their attention to less ambitious projects. Quantum Advantage refers to the use of technology by systems to make progressive improvements in solving real-world computing tasks.
The first practical application based on Quantum Advantage expected to officially start the Quantum Era. Peter Chapman, CEO of IonQ, became the first quantum computing company to be listed on Wall Street :updated. He likened it to the VisiCalc spreadsheet program. The VisiCalc Spreadsheet Program kicked off the PC computing era in 1979, “making the PC business-ready.”
Matt Johnson, CEO of quantum software company QCWare, said the prospect of finding a working application for this technology has given life to the industry and created competition for the first time in recent months. “The challenge is to help enterprise customers achieve quantum accelerations quickly,” he said.
The industry’s gearshift was driven by improvements to quantum hardware systems announced in the final 2021 and the forecast of the types of systems that will be available in two years.
According to Professor Will Oliver of the Massachusetts Institute of Technology, the hardware has improved 10-fold over the past two years. At a recent Q2B Practical Quantum Computing conference in Silicon Valley, he said this raised new questions for the industry. Are you getting any closer to creating “commercially relevant algorithms”?
Today’s quantum machines are known as NISQ systems and noisy medium scale quanta abbreviations. The number of these qubits, or qubits, is still limited and qubits cannot hold quantum states for more than a few microseconds, resulting in errors or “noise” in computation. But, according to people working in technology, they can be used to make small but significant advances in solving real-world problems.
“If it could be used to detect cancer and improve the detection rate by 2%, would you use less for patients?” Christopher Savoie, CEO of quantum software company Zapata Said.
In November, IBM released its first system with 127 qubits and confirmed its roadmap to grow to more than 1,000 qubits in two years.
Dario Gil, principal investigator at IBM, said: While I admit that overcoming the remaining technical challenges is an “unsolved issue”, advances in hardware and improvements in algorithm design have paved the way to reduce noise in current systems to useful levels. He said.
Others say they are on a similar path. Rigetti Computing, a startup planning to publish through a sale to a special-purpose acquisition company, announced in December an 80-qubit system based on a new modular design that combines two 40-qubit processors. With this new architecture, “it is expected to be a system of around 1,000 qubits in 2024 and 4,000 qubits in 2026,” said Chadrigetti, CEO of the company. “We hope that these systems will pass the milestones of narrow quantum supremacy and then broad quantum supremacy.”
Modern hardware cannot support innovative applications by itself, but it puts more powerful tools in the hands of researchers. This will speed up the understanding of how to program a working system, he and others said. IBM said 27 quantum systems are in use and 170 organizations, including many companies, are currently using them for research.
“Our machine has the speed, scale and performance to code and represent the real problem instance, not the toy problem instance,” says Rigetti. This allows researchers to assess the performance of real-world problem solving compared to today’s faster classical computers, giving researchers a true understanding of the path to quantum superiority for the first time.
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