Mid-circuit stabilizer verification in six-qubit GSE-encoded Clifford Trotter steps reduces logical error rates by up to 54% on Barium ion hardware, with the gain vanishing if checks are deferred to circuit end.
Qubit-reuse compilation with mid-circuit measurement and reset
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
representative citing papers
QARMA applies transformer-augmented reinforcement learning to qubit allocation and reuse in modular quantum systems, reporting up to 86% average reduction in inter-core communications versus optimized Qiskit baselines.
QSAF is a new component-based framework that organizes quantum circuit primitives into seven categories and links them through a multi-level abstraction hierarchy to support design of hybrid quantum-classical systems.
citing papers explorer
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Mid-Circuit Measurements for Clifford Noise Reduction in Hamiltonian Simulations
Mid-circuit stabilizer verification in six-qubit GSE-encoded Clifford Trotter steps reduces logical error rates by up to 54% on Barium ion hardware, with the gain vanishing if checks are deferred to circuit end.
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Learning-Optimized Qubit Mapping and Reuse to Minimize Inter-Core Communication in Modular Quantum Architectures
QARMA applies transformer-augmented reinforcement learning to qubit allocation and reuse in modular quantum systems, reporting up to 86% average reduction in inter-core communications versus optimized Qiskit baselines.
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Quantum Software Architecture Framework (QSAF): A Component-Based Framework for Designing Hybrid Quantum-Classical Systems
QSAF is a new component-based framework that organizes quantum circuit primitives into seven categories and links them through a multi-level abstraction hierarchy to support design of hybrid quantum-classical systems.
- Branch-Resolved Characterization of Feed-Forward Error in Dynamic Teleportation via Classical Choi Shadows