Automated Synthesizing of Quantum Programs

This invention describes a system that uses artificial intelligence to automatically create and improve programs for quantum computers. It works by running an initial quantum program, analyzing its output to understand the quantum state, and then feeding this information, along with the problem to be solved, into a neural network. The neural network then suggests a specific quantum operation to add to the program, creating an updated version to iteratively refine the solution.

Why it matters: Since 2021, AI for code generation and optimization, particularly with neural networks, has advanced significantly. Quantum computing hardware has also seen continued development, making the iterative execution and feedback loop more practical.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedQuantum computer, neural network, complex software

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