2024, 'Quantum Artificial Intelligence' Coming Sooner Than Thought

Today, quantum computing is not a particularly familiar term to those outside the technical and physics communities, but it will soon be. Still in its relative infancy, this form of computing has its roots in quantum mechanics, the natural behavior of atoms and subatomic particles on the scale of atoms and subatomic particles.

In the 1970s, work began in earnest to utilize this science to power a new type of computing. By the 1980s, prominent scientists such as Paul Benioff, Yuri Manin, Richard Feynman, and David Deutsch established the core principles. By the late 1990s, the first functioning quantum computer appeared.

Instead of processing information in units of 1s and 0s (i.e., bits), quantum computers process information in a serial fashion, which is how classical computing works. Like a guitar, bits are analogous to playing one note at a time, while quantum bits play several notes at once. With enough quantum bits, a quantum computer could theoretically operate millions of times faster than the fastest microchip computers currently available.

While there are still technical hurdles to overcome, quantum computing is no longer confined to research labs. large tech companies such as IBM, Microsoft, and Google, as well as a number of high-profile market entrants such as IonQ and D-Wave Systems, are offering features that are currently available.

In December 2023, researchers at quantum computing startup QuEra and Harvard University demonstrated that they could generate 48 logical quantum bits using a 280-qubit processor - far more than previous experiments had been able to do.

This is certainly the biggest experimental advance in several years. If other researchers are able to replicate and develop their research in the future, it means that quantum computers could be in our lives sooner than expected - not sure how much sooner.

Nonetheless, the use of these technologies remains quite specialized and often experimental. Currently, practical applications can be found in pharmaceutical development, cybersecurity, financial services and weather forecasting.

Many are optimistic that the pace of innovation in quantum computing will continue to accelerate, and that by the end of this decade we could see mainstream applications.

It's all just around the corner.

Independent of AI, quantum computing will be a big deal. However, when combined with AI, it will be a game changer.

Revolutionary innovation" is an understatement.

In the meantime, work on combining AI and quantum computing will continue. Research is nascent and there are significant technical hurdles.

Quantum Artificial Intelligence (QAI), and in particular its sub-field of research, Quantum Machine Learning (QML), will use new quantum-designed algorithms that have the superpowers to produce more powerful AI models. With the gradual emergence of QAI, we can foresee significant improvements in the speed, efficiency and accuracy of AI. We can also foresee the emergence of entirely new and surprising business capabilities.

At first, the benefits will be for certain industries and needs, especially those with optimization requirements. But then, as QAI becomes more mainstream, almost every organization will need to develop a strategy.

One effort currently underway is IonQ's work with Hyundai, where they are looking at how QAI can be used to process images such as road signs.

On the learning and experimentation side, Google currently offers a platform, TensorFlow Quantum (TFQ), for prototyping hybrid quantum-classical AI models.

Other notable collaborations include HSBC and IBM in finance, Menten AI's healthcare advances, Volkswagen's battery simulation partnership with Xanadu, Intel's Quantum SDK, and Zapata's work with BMW ......

GlobalData, a London-based data analytics and consulting firm, highlights a 14% compound annual growth rate (CAGR) increase in related patent applications from 2020 to 2022, underscoring the tremendous impact and potential of quantum AI across a wide range of industries.

Quantum AI is the next frontier in the development of artificial intelligence, utilizing the power of quantum mechanics to push capabilities beyond current limits.

Kiran `Raj, Head of Disruptive Technologies Practice at GlobalData, emphasized that while AI thrives on data and computing power, the inner workings of the technology often remain unclear. Quantum computing not only promises to increase computing power, but also has the potential to provide a deeper understanding of how these work, paving the way for AI to outperform current capabilities.

Rather than playing catch-up when QAI emerges, organizations should keep the technology on their "radar" and closely monitor its development. Organizations that are fortunate enough to have an innovation lab or equivalent should consider doing some experimentation and research, if only to gain skills and knowledge.

The high level of interest from industry and the pace of scientific research is a clear indication that QAI is coming - the question is whether you are ready for it. It may be closer than you think, and it may well be a big deal.

In the ever-evolving field of technology, artificial intelligence has moved from being the "next big thing" to being a transformative force shaping today's world. It's not just a trend, it's an integral part of our daily lives.

On December 20 of this year, Globe Newswire reported that Quantum AI has achieved an astounding 14,082 quantum volume (QV) points in the year since its inception, and it says it will bring the power of quantum computing to the public.

As a one-year old start-up in the quantum space with 18 full-time employees, Quantum AI has shown extraordinary results in a short period of time.

Quantum AI was conceived by Finlay and Qaiser Sajjad while they were students at MIT. They were inspired by the exclusive use of new age technology by the Wall Street elite. Recognizing the transformative power of this technology, they were determined to make its potential available to all. Thus, the platform was born and has grown in a short period of time.

The platform combines the power of technology with the power of artificial intelligence. By using these latest technologies, including machine learning, algorithms have been created that are more than just a few lines of code. They utilize the potential of quantum mechanics and deep learning to analyze real-time data in a unique way.

"Our quantum system utilizes quantum superposition and coherence to provide a quantum edge through sophisticated simulation and annealing techniques," asserts the platform's founder, "We strongly believe that the power of quantum computing should not be limited to financial giants, but should also be available to support amateur traders. " Since launching in 2022, they have been working to realize this vision and have become a major force in the industry.

In other words, utilizing the efficiency of Quantum technology and the intelligence of AI to create a trading platform for the average individual investor in the financial sector. This has led to Quantum AI receiving overwhelmingly positive reviews from clients, highlighting the increased speed and accuracy of trading.

The platform's transformative and groundbreaking impact on trading is evident in its growth of 330,000 active members.

Also on Quantum + AI, on June 12, Beyond Limits in the U.S. and IQM Quantum Computers, a European-Finnish manufacturer of quantum computers, entered into a strategic partnership to drive the development of quantum AI technology in the Asia-Pacific region. The former is a leading enterprise-grade artificial intelligence (AI) software company, and it this partnership is the first innovation between the quantum computing and AI industries to explore technological breakthroughs and develop disruptive hybrid quantum AI algorithms that have been listed as one of the top five technologies of the future by Singapore's Infocomm Media Development Authority (IMDA).

"Quantum AI is a growing area of technology and we see many opportunities across industries, especially in heavyweight sectors such as oil, gas, manufacturing, aviation, healthcare and financial services," said David Liu, Executive Vice President, Global Partnerships and Channels, Beyond Limits.

"With this strategic partnership, we can harness the power of quantum computers to develop future-proof AI algorithms and help our customers reap the early benefits of commercial quantum computing."

As a new computing technology that performs high-speed computing, storage and processing of information, quantum computing will bring a quantum leap in the computing power of existing classical computers. Although quantum computing technology is not yet fully mature and is still in the exploratory stage, it has already demonstrated its potential in a number of fields, and many compelling applications have emerged.

In daily life, optimization problem solving is one of the applications of quantum computing that exists widely in practice, such as traffic planning, supply chain management, and so on. Quantum computing is able to obtain faster and more accurate solutions to some optimization problems through algorithms such as quantum annealing and quantum simulation. Quantum computing is also emerging in the field of machine learning and artificial intelligence. Quantum machine learning can utilize quantum algorithms to improve the speed and effectiveness of model training and provide better solutions to complex problems.

Looking around the world, at present, the United States focuses on the application of quantum technology in the fields of defense and military, artificial intelligence, communication and transmission, biomedicine, etc., which has been projected to bring nearly a billion dollars of economic value to the United States in 2022.

"Quantum computing" and "AI" are the two most trendy terms in the current science and technology circle, and the recent explosion of ChatGPT has once again set off the craze of artificial intelligence; while the field of quantum computing technology has also emerged with many gratifying results. Although the two have always developed in isolation and become gods in their own right, utilizing the huge potential of quantum parallel computing to solve certain specific algorithmic problems in AI research can bring out the advantages of 1+1＞2, or even greater.

In short, the future is here, it is no longer a distant dream, but an integral part of our lives.