TuniQ uses RL with a dual-encoder, shaped rewards, and action masking to autotune quantum compilation passes, improving fidelity and speed over Qiskit while generalizing across backends and scaling to large circuits.
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Canopus unifies qubit mapping and routing across quantum ISAs by modeling synthesis costs via canonical two-qubit gate forms, achieving 15-35% lower routing overhead than prior methods on varied backends and topologies.
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TuniQ: Autotuning Compilation Passes for Quantum Workloads at Scale for Effectiveness and Efficiency
TuniQ uses RL with a dual-encoder, shaped rewards, and action masking to autotune quantum compilation passes, improving fidelity and speed over Qiskit while generalizing across backends and scaling to large circuits.
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Unifying Qubit Routing Across Diverse Quantum ISAs via Canonical Representation
Canopus unifies qubit mapping and routing across quantum ISAs by modeling synthesis costs via canonical two-qubit gate forms, achieving 15-35% lower routing overhead than prior methods on varied backends and topologies.