There is a relationship in the way they are both computational sciences and they have overlaps in several areas such as:

1. common set of problems or applications quantum computing or AI would be useful for — data/information processing, simulations

2. both built heavily on and require good mathematical/algorithmic methods and good physical/hardware platforms to operate upon — e.g. matrix manipulation is important to both fields, as are energy efficient computes (optimized hardware architecture may help) — so advances that increase our understanding and performance in these fundamental areas gives both technologies a boost

3. they are related but also independent/distant branches of technology, therefore advances in one can complement the other — this is where you get instances of quantum machine learning, where you try to use the information processing capabilities of qubits to enhance your machine learning algorithms and their performance. You can also use artificial intelligence to help set up or design new quantum computing circuits or architectures.

So, related in a fundamental or low level way, but there are some interesting cross applications and synergies that happen where the two fields do meet.

Yes definitely .

Quantum Computing and Artificial intelligence( Computing) are directly related to each other similar to Physics and Quantum Mechanics( Physics).

Quantum Computing development definitely would support to make more intelligent to machine ( Artificial Intelligence ).

Quantum computing conjures many myriads but one meaning is so fast computing that could not be countable in time.

Recognition of a person among the millions of people without taking time or thinking is quantum computing intelligence of humans that could be implemented in machines.

Quantum computing brings the promise to increase computing capacities enormously and address problems that are intractable on any classical computer. In particular, it is expected to accelerate research and innovation in agriculture, drug development and energy, as well as in auto and airplane manufactures. At the same time, quantum computing may be able to break many current cryptography methods.

Source:

https://www.oecd-ilibrary.org/sites/bb167041-en/1/3/11/index.html?itemId=/content/publication/bb167041-en&_csp_=509e10cb8ea8559b6f9cc53015e8814d&itemIGO=oecd&itemContentType=book

Many thanks to you all, however I still have confusion regarding this relationship and need to receive more examples of application.

+ve, -ve Energy:

Quantum is based on the particle that forms the mechanism of comfort, physics and kinetics construction. Considering the generational particles that identify the past, present, and future aspects of positive and negative energy by the land relative.

This theory can be considered by the hormonal selection of active, inactive, sleepy, and controlled state levels and the known or unknown formation of live, inline, and offline.

It should take into account the hierarchical equilibrium factors for the optimization, ground and climate mapping of the Smart Global optimal particle awareness process.

Artificial, natural concept of the seven layers of the known and unknown phase by maximum parental, child particle satisfaction

Thanks so much, s. Sivabalan, for your explanation.

Pleasure is mine Professor Ashraf M.D. Eleva (Mars biologist)

My best regards, s. Sivabalan.

Can you apply artificial intelligence techniques to predict probable life on Mars, s. Sivabalan or any other colleague? If you are able to do that please inform me. Thanks in advance.

There is no special relationship between quantum computers and AI . The relationship between quantum computers and AI is exactly the same as the relationship between silicon-based computers and AI. AI is a bunch of algorithms that are embodied into software programs that must run on a computer. Whether the computer is silicon-based (as all present-day computers), or "quantum-based" (in a very, very distant future, if ever) is irrelevant.

Thanks a lot, Kurt Benke.

The use of quantum algorithms in artificial intelligence techniques will boost machines' learning abilities. This will lead to improvements in the development, among others, of predication systems, including those of the financial industry. https://www.bbva.com/en/how-may-quantum-computing-affect-artificial-intelligence/amp/

Quantum computing opens the door potentially solving very large and complex computational problems that are basically impossible to solve on traditional computers. This includes things like using brute-force methods to guess the passcode used to encrypt a piece of data using a 256-bit algorithm. https://www.datanami.com/2021/11/11/is-quantum-computing-the-future-of-ai/

Ashraf M. T. Elewa

"Quantum Computing is the future of Artificial Intelligence".

Quantum computing provides computation enhancement to artificial intelligence making it capable to tackle complex problems of space technology, engineering, science and business.

Regards

Dr. Ashwani Kumar

Ashraf M. T. Elewa

"Quantum computers & Artificial intelligence"

Presently in industry there is a need of quantum computers that would be exponentially more powerful than today’s computers to process all the data we generate every single day and solve increasingly complex problems. The growth of big data necessitates the need for a different computational approach to handling big data. This can be only possible using quantum computers.

Yes, they are positively correlated.

Thanks.

Dear Dr Ashraf M. T. Elewa . See the following useful RG link: Article The Potential of Quantum Computing and Machine Learning to A...

Kindly see also the following very good link: https://www.iwp.edu/cyber-intelligence-initiative/2019/03/27/how-artificial-intelligence-and-quantum-computing-are-evolving-cyber-warfare/

بيداء عبد السلام مهدي added an answer to this ResearchGate discussion thread question 32 minutes ago, as follows:

مهتمة

Transliteration: bida' eabd alsalam mahdi added an answer 32 minutes ago " muhtama "

Translation from Arabic to English, as follows:

"Baida Abdul Salam Mahdi added an answer 32 minutes ago " interested "

SOURCE: Internet Artificially-Intelligent Translator

Best regards.

Many thanks to you all, I'm much indebted.

First, it is important to differentiate between the different AI algorithms. For example, neural networks are often trained and evaluated on graphics cards because parallelization enables faster processing of data than CPUs. It is unlikely that quantum computers will replace neural networks because data cannot be processed in parallel. Quantum computers will be more likely seen as a new way to tackle very complex, well-defined problems.

You can check my conference paper dealing with quantum computing and blockchain:

Conference Paper Quantum Computing - The Impending End for the Blockchain?

Thanks a lot, Marko Kureljusic.