The Development of Quantum AI

Quantum AI, which stands for quantum artificial intelligence and is otherwise known by its acronym QAI, is a revolutionary piece of software and technology that has sent shock waves through the world of artificial intelligence (AI).

This article aims to shed light on what AI is, how the merging of quantum data and AI has created a sweeping change to algorithms and data sets as they are known today and pinpoint the multiple industries that quantum AI is having a significant impact on.

What is Artificial Intelligence?

To understand QAI, you first need to strip these two words apart so that you may gain a better understanding of the entire concept. Artificial intelligence is most likely something that you have heard of often or even used in your daily life. However, you might not know the exact ins and outs of this domain, which is vital to understand so that you can further be aware of QAI as one defining term.

Artificial intelligence is based on computer systems and sciences, in which theories and developmental tactics have been created to get these computer systems to perform (or sometimes even outperform) how a human would engage with certain activities. You may have stumbled upon this in your day-to-day life, with the rise of AI in the general public’s daily normas becoming more apparent, with apps such as ChatGPT or Jasper.ai, which allows you to receive pre-written and robotic generated texts or similar.

What is Quantum AI?

Now that AI is a term that is understood, the move can be made to dive into what is meant by quantum ai and how you can better understand it. Quantum AI is also a field within computer science, just like the regular AI, only it applies quantum computing to improve existing AI systems. In layman’s terms, you can think about it as the betterment of AI. The reason for this improvement is due to its nature.

You see, regular AI computing systems operate solely on a technical term called ‘bits’. These bits, found within AI, can represent one of two values, either zero or one. When this bit, of either zero or one, is included in a binary code, you get what people know today as advanced algorithms or otherwise known as AI information.

Quantum AI has essentially taken what AI has done and then added a third option. With quantum AI you do not look at bits but rather at ‘qubits’. These qubits not only represent a data set of either zero or one but also include the aforementioned third option, which is not zero or one but a reality in which an answer can actually be both options. Therefore, a qubit can be one of three options, which is a mammoth change to how simple AI computing systems worked before.

Complex algorithms, known as quantum algorithms, lay the foundation of quantum AI. The AI used on classical computers is vastly different from the QAI used on quantum processors. A good example of where you can see the extreme benefits of quantum processors versus classical computers is through processing speed and power. If you give a classical computer a complex challenge, it could take months, if not years to process the information and come out with the correct answer. Whereas with a quantum processor, all the available options are sifted through in a matter of minutes, due to its advanced nature, thereby resulting in a positive conclusion in a much shorter amount of time.

As the saying goes, ‘time is of the essence’ and this cannot be more true for certain industries which will be expanded upon below.

The Importance of QAI in Industries

The reason that the rise of both AI and QAI has been so prominent over the last few years is due to the fact that the world is experiencing more issues than ever before, such as global warming and processors have to compute large amounts of data, due to the increased amount of inhabitants of the earth. With every new person comes a new set of data that a processor has to understand and create a conclusion for. Therefore, time is truly of the essence and the rise of technologies that can speed up analytical processes is vital for the advancement of people.

Certain industries need QAI especially. These include the pharmaceutical research board, which needs assisted help in creating and understanding medical knowledge and jargon to better diagnose patients. The climate science division and weather modeling sector are other branches that need to be able to understand huge amounts of data and come to a concluding analysis as quickly as possible. If you think about global warming and the effects it is having both on humans and animals in the world, having QAI swiftly work through large data sets that would take humans hundreds of years to understand, is vital. Furthermore, data science, finance, cyber security and other industries could all benefit from some form of QAI.

Therefore, it is clear to see that the development of QAI has not only had a huge impact on the world of AI in general but has impacted various industries, ranging from medicine to weather and is also said to have a large impact on the people of the world and how they engage with information.