A novel permeability DAG representation is proposed to automate parallelization and memory management in quantum programs by capturing permeability-based commutation properties.
Compiler for distributed quantum computing: a reinforcement learning approach
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An RL agent with engineered action spaces for distributed quantum circuit routing achieves up to 35% reduction in modeled execution time compared to previous methods.
TeleSABRE extends SABRE to combine intra-core SWAPs with inter-core teleportation, reporting a 28% reduction in inter-core operations on benchmarks for multi-core quantum architectures.
citing papers explorer
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Automatic quantum function parallelization and memory management in Qrisp
A novel permeability DAG representation is proposed to automate parallelization and memory management in quantum programs by capturing permeability-based commutation properties.
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Rethinking How to Act: Action-Space Engineering for Reinforcement Learning-Based Circuit Routing in Distributed Quantum Systems
An RL agent with engineered action spaces for distributed quantum circuit routing achieves up to 35% reduction in modeled execution time compared to previous methods.
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TeleSABRE: Layout Synthesis in Multi-Core Quantum Systems with Teleport Interconnect
TeleSABRE extends SABRE to combine intra-core SWAPs with inter-core teleportation, reporting a 28% reduction in inter-core operations on benchmarks for multi-core quantum architectures.