Google Quantum AI is currently using the Nvidia CUDA-Q platform and the Nvidia Eos supercomputer to develop its next-generation quantum computing devices.

Nvidia’s press release, published on Monday, November 18, contains information that Google Quantum AI leverages a platform for simulating the physics of its quantum processors. Currently, the mentioned technology company is working to overcome the so-called noise problem. In this case, it implies the limitation of quantum computing hardware, which allows it only a certain number of operations before stopping.

Guifre Vidal, a research scientist at Google Quantum AI, stated that the development of commercially useful quantum computers is possible only if the quantum hardware is scaled while keeping noise in check. Also in this context, it was noted that using Nvidia’s accelerated computing, the technology company is exploring the implications of noise on increasingly large quantum chip designs.

The CUDA-Q platform allows Google Quantum AI to perform dynamic simulations of quantum devices. In this case, the company has the opportunity to better understand the noise in quantum hardware designs. The relevant information is contained in the press release.

The software powering the mentioned simulations will be publicly available on the CUDA-Q platform. The use of this platform demonstrates the central role of accelerated simulations on graphics processing units in advancing quantum computing, which helps solve real-world problems.

Quantum computers that use the principles of quantum mechanics to perform complex calculations can increase the processing power of artificial intelligence systems by exploiting the properties of quantum bits such as superposition and entanglement.

The synergy of quantum AI can solve tasks that are highly computationally intensive that are not available to classical computers. Also, this synergy can potentially power breakthroughs in the areas of medicine, materials science, cryptography, and financial modeling.

In March, Google Quantum AI and Google.org joined XPRIZE and the Geneva Science and Diplomacy Anticipator (GESDA) to launch XPRIZE Quantum Applications. In this case, it means a three-year global competition worth $5 million, the purpose of which is to apply quantum computing to solve real problems and prove the practical usefulness of the corresponding calculations. The mentioned competition is closely related to Google Quantum AI’s focus on developing a large-scale,error-connected quantum computer and developing useful apps for quantum computing.

Quantum computers are super-powerful computing machines that use the principles of quantum mechanics to perform complex operations. In this case, the capabilities of parallel processing are applied. So far, quantum computers are used in a kind of specialized space and do not belong to the category of technological products that have mass distribution. The corresponding situation is related, among other things, to the high cost of advanced computing machines. There is a circulating opinion among some experts that quantum computers will become commercially available within the next decade. This assumption corresponds to what can be described as the logic of the spread of advanced technological inventions. At the initial stage of existence, such inventions are typically expensive and operate in configurations that are difficult for the average consumer to use. Over time, the process of cheapening is carried out. Also, during the transformation, advanced technological products become more simplified in terms of use possibilities.

It is worth noting separately that quantum computing can become a kind of source of benefit in the area of payments. For example, quantum encryption algorithms can enhance the security of financial transactions. Quantum key distribution (QKD) can provide unbreakable encryption, guaranteeing the confidentiality and integrity of payment data. Appropriate capabilities mean declining the risk of cyber-attacks and data breaches.

It is worth mentioning separately that in February, Apple announced that, as part of its quest to improve the security of the iMessage app, it is updating the encryption system to fend off potential quantum computing attacks.

The ability of the mentioned computing to instantly process huge amounts of data can become very useful in areas such as risk analysis and credit underwriting.

It is worth noting that the market’s perception of the prospects for quantum computing from a financial point of view is positive. For example, Quantinuum, a company specializing in the development of quantum computers, was valued at $5 billion after a $300 million fundraising round in which JPMorgan Chase participated.

Lori Beer, JPMorgan Chase’s global chief information officer, said in January that financial services had been identified as one of the first industries that will be the beneficiary of the process of using quantum technologies. She also noted that the mentioned financial institution invests in quantum research. According to her, the bank’s team of experts led by Dr. Marco Pistoia has made groundbreaking discoveries, partnering with quantum computing leaders like Quantum.

It is currently expected that quantum computers will eventually be able to solve all the mathematical encryption schemes that are now used around the world to safeguard sensitive information and valuable data.

Quantum computing can run complex simulations at high speed. This feature means the ability to make more informed decisions related to business and investments.

As we have reported earlier, PsiQuantum to Build First Commercial Quantum Computer.