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arXiv · 2005.12259

Time-Sliced Quantum Circuit Partitioning for Modular Architectures

Jonathan M. Baker·Casey Duckering·Alexander Hoover·Frederic T. Chong
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Abstract

Current quantum computer designs will not scale. To scale beyond small prototypes, quantum architectures will likely adopt a modular approach with clusters of tightly connected quantum bits and sparser connections between clusters. We exploit this clustering and the statically-known control flow of quantum programs to create tractable partitioning heuristics which map quantum circuits to modular physical machines one time slice at a time. Specifically, we create optimized mappings for each time slice, accounting for the cost to move data from the previous time slice and using a tunable lookahead scheme to reduce the cost to move to future time slices. We compare our approach to a traditional statically-mapped, owner-computes model. Our results show strict improvement over the static mapping baseline. We reduce the non-local communication overhead by 89.8\% in the best case and by 60.9\% on average. Our techniques, unlike many exact solver methods, are computationally tractable.

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Jonathan M. Baker, Casey Duckering, Alexander Hoover, Frederic T. Chong. 2020-05-25. Time-Sliced Quantum Circuit Partitioning for Modular Architectures. https://doi.org/10.1145/3387902.3392617

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