A switch-restore-switch protocol using environmental spectral structure resets superconducting qubits in 20 ns at 10^{-5} precision.
arXiv preprint arXiv:2211.01925 (2022)
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 3representative 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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Time-optimal Qubit Reset via Environmental Spectral Structure
A switch-restore-switch protocol using environmental spectral structure resets superconducting qubits in 20 ns at 10^{-5} precision.
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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.