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.
A branch-resolved framework for characterizing feed-forward error in dynamic teleportation via classical Choi shadows is introduced, experimentally validated on two qubit layouts, and shown to reveal mitigation behaviors hidden by outcome averaging.
citing papers explorer
-
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.