Quantum Generative AI

Generative AI is currently taking the world by storm, and the mechanism is based on existing computers.

According to ChatGPT, what is generative AI?

Generative AI refers to technologies that use artificial intelligence algorithms to generate new designs, images, music, text, etc. These algorithms learn from a training data set and can take inspiration from that data set to generate their own creations.

Why is it all the rage?

There are several reasons why generative AI is gaining traction around the world

Automatic generation: Generative AI can save human effort and automate more tasks.

Generating new designs: Generative AI can generate new designs that humans cannot generate using their imagination.

Time savings: Generative AI can perform tasks that can be done by humans at high speeds, saving time.

Technological advances: Artificial intelligence technology has advanced dramatically in recent years, and so has generative AI. It is now able to generate higher quality work.

These are the reasons why generative AI is gaining traction.

The first is that Generative AI is done using huge amounts of computation on classical computers, and the cost of generative systems is relatively high, such as the time it takes to generate samples when generating Diffusion models.

So, just as a trivia, there is also generative AI in quantum computers. It has been around since the days of quantum annealing. Quantum computers with quantum gates often use a circuit called QCBM.

https://github.com/Blueqat/blueqat-tutorials/blob/master/tutorial/103_qcbm.ipynb

Other times, Boltzmann machines were used, but nowadays, the most common is the use of Born Machines. It is characterized by fast samples, but the accuracy of quantum computers is still low, so it is still difficult to use them in practical applications.

A long time ago, I solved Super Mario with a generative system.

https://blueqat.com/yuichiro_minato2/362f47cc-ac97-4daa-80ae-d87b465593ac

I hope that perhaps quantum generative AI will gain some momentum in the future. That's all I have to say.