Proceedings of the 17th ACM International Conference on Computing Frontiers 2020
DOI: 10.1145/3387902.3392617
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Time-sliced quantum circuit partitioning for modular architectures

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, accounti… Show more

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Cited by 29 publications
(44 citation statements)
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“…Some approaches in the past have attempted to solve the first of these problems, for example by using lookahead when choosing routing strategies [7,39] and while this helps to treat the symptoms of pre-decomposing all operations it does not remedy the underlying problem.…”
Section: Motivation: Conventional Compilationmentioning
confidence: 99%
“…Some approaches in the past have attempted to solve the first of these problems, for example by using lookahead when choosing routing strategies [7,39] and while this helps to treat the symptoms of pre-decomposing all operations it does not remedy the underlying problem.…”
Section: Motivation: Conventional Compilationmentioning
confidence: 99%
“…In DQC, remote communication involving qubits in different computing nodes is essential yet far more expensive than the local communication on qubits within the same node (e.g., 5-100x time consumption and up to 40x accuracy degradation [11,12]). There are two major schemes for remote quantum communication: one built upon the cat-entangler and cat-disentangler protocol [13], and the other based on the quantum teleportation [3].…”
Section: Introductionmentioning
confidence: 99%
“…Distributed quantum architectures have been proposed in [24][25][26]. Related works present techniques for targeting a network of quantum chips for unified computing tasks [27,28]. Major players in quantum computing have noted the potential of distribution for scaling quantum computers [15,29].…”
Section: Introductionmentioning
confidence: 99%