The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: Fourth International Workshop on Quantum Computing Software
Authors: Ankit Kulshrestha (University of Delaware), William Berquist (Argonne National Laboratory), Ilya Safro (University of Delaware), and Yuri Alexeev (Argonne National Laboratory)
Abstract: The current era of quantum computing has yielded several algorithms that promise high computational efficiency. While the algorithms are sound in theory, there is little guidance on how to design proper quantum circuits to realize the appropriate unitary transformation to be applied to the input quantum state. We present QArchSearch, an AI based quantum architecture search package with the QTensor library as a backend that provides a principled and automated approach to finding the best model given a task and input quantum state. We show that the search package is able to efficiently scale the search to large quantum circuits and enables exploration of more complex models for different quantum applications. QArchSearch runs at scale and high efficiency on high-performance computing systems using two-level parallelization scheme on both CPUs and GPUs, which has been demonstrated on the Polaris supercomputer .
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