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This research introduces an open-source framework that optimizes the compilation and scheduling of programs across distributed quantum processing units, addressing critical bottlenecks in entanglement consumption. By treating hardware connectivity as a primary factor alongside circuit design, the system enables more efficient scaling through gate and state teleportation techniques. This advancement is pivotal for realizing practical networked quantum computing architectures where inter-device topology directly dictates computational performance.
Researchers Build Software for Networked Quantum Computers
Optimal strategies for compiling quantum programs now depend heavily on both circuit design *and* how multiple processors are connected. Previously, such approaches treated hardware layout as secondary to algorithmic optimisation. This work presents an open-source software platform enabling exploration of these interdependencies, bridging monolithic compilers with long-distance networking simulators.
An open-source framework for exploring distributed quantum computing enables compilation and scheduling across multiple quantum processing units (QPUs) linked by entanglement. The system partitions circuits to respect both inter- and intra-QPU connectivity before reconstructing them using gate and state teleportation, methods of transferring qubit states or executing operations remotely. This allows benchmarking of different partitioning and scheduling strategies against varying network configurations, demonstrating that optimal approaches depend on specific circuit designs and…
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