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What Quantum Computing Will Mean for the Future Artificial Intelligence

Today’s artificial intelligence (AI) systems are only as good as the data they’re trained on. The AI industry is currently taking advantage of large datasets to train AI models and make them more useful. However, as these datasets are becoming limited, researchers are exploring other ways to improve AI algorithms. One such way is quantum computing. It is a new frontier of computer science that will enable better AI algorithms shortly.

What is Quantum Computing?

Quantum computing is an entirely different way of studying the world around us. It does not just focus on the properties of atoms and molecules. It takes a look at the subatomic properties of atoms that are actually in superposition. That is, they exist in multiple states at the same time. This is one of the principles of quantum mechanics that enable subatomic particles to exist as both particles and waves at the same time.

How Will Quantum Computing Change AI

Artificial intelligence has come a long way in the past few years. It has been able to generate realistic 3D images and videos. In addition, it is beginning to embrace quantum computing. That has given rise to quantum AI. Artificial intelligence now leverages quantum computers. And their full integration will be a technological revolution of the century.

More benefits of quantum computing to AI

One of the biggest hurdles for artificial intelligence today is training the machine to do something useful. For example, we might have a model that can correctly identify a dog in a photo. But the model will need to be trained with tens of thousands of images for it to recognize the subtle differences between a beagle, a poodle, and a Great Dane. This process is what AI researchers call “training”. They use it to teach AI algorithms to make predictions in new situations.

Predictions for the Future of AI with Quantum Computing

One of the most exciting predictions for quantum computing in artificial intelligence is the potential to break through language barriers. AI models can currently understand one language — the language used to train them. so if we need AI to understand a different language, we shall need to teach it from scratch. However, quantum computing can help AI models break through language barriers. It will allow us to train models in one language and translate them into a different language effortlessly.

How can quantum computers profit from AI?

Artificial intelligence is already improving the performance of quantum computers. This trend will only continue in the future. The following are some reasons why:

  • AI can also find new ways to solve problems faster. That is critical because quantum computers are not yet fast at processing data. However, research is ongoing to fix this early-stage problem.
  • AI can also guide the runtime of programs. That will help developers to make effective use of quantum computing capabilities.


The potential of quantum computing is limitless, but its integration into artificial intelligence will produce a technology that will be rather powerful than anything we have today. The new technology will enable machines to learn and self-evolve. It will make them exponentially better at solving complex problems and developing self-learning algorithms that will drive efficiency in sectors such as finance or healthcare.

Chisom Ndukwu



ReadWrite is the leading media platform dedicated to IoT and the Connected World. We work with the industry's top technologies, thinkers, and companies to tell the stories that drive this world forward.

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