Using generative AI to simply program a quantum computer

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Researchers in Austria have used generative AI to programme a quantum computer, aiming to overcome one of the major bottlenecks in the technology.

www.eenewseurope.com/, May. 22, 2024 – 

To prepare a certain quantum state or execute an algorithm on a quantum computer, the appropriate sequence of quantum gates needs to be determines for the operations. While this is rather easy in classical computing, it is a great challenge in quantum computing, due to the particularities of the quantum world.

The AI method developed at the University of Innsbruck produces quantum circuits based on user specifications and tailored to the features of the quantum hardware the circuit will be run on.

"Our new model for programming quantum computers generates quantum circuits based on the text description of the quantum operation to be performed," said Gorka Muñoz-Gil from the Department of Theoretical Physics of the University of Innsbruck, Austria.

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Many methods to build quantum circuits using machine learning and this is one of the reasons that many supercomputer centres are combining AI infrastructure with quantum computers. However the training of these ML models is often very hard due to the necessity of simulating quantum circuits as the machine learns.

Generative AI models avoid such problems due to the way how they are trained. "This provides a tremendous advantage," said Muñoz-Gil, who developed the method together with Hans Briegel and Florian Fürrutter.

"We show that denoising diffusion models are accurate in their generation and also very flexible, allowing to generate circuits with different numbers of qubits, as well as types and numbers of quantum gates."

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