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Hardware-Software Co-design for Distributed Quantum Computing
DescriptionDistributed quantum computing (DQC) offers a promising pathway for scaling up quantum computing. Entanglement is indispensable for implementing non-local operations in DQC, especially the teleportation of quantum states and gates. Practical remote entanglement generation is probabilistic, whose duration is not only longer than local operations but also nondeterministic. Therefore, the optimization of DQC architectures with probabilistic remote entanglement generation is critically important. In this paper, we study a new DQC architecture which combines (1) asynchronously attempted entanglement generation, (2) buffering of successfully generated entanglement, and (3) adaptive scheduling of remote gates based on entanglement generation pattern. Our hardware-software co-design improves both runtime and output fidelity for realistic DQC.