SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.
How to enhance dephasing time in superconducting qubits,
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A training-free pipeline using adaptive DTCWT denoising and Bayesian digitization improves RTS reconstruction accuracy and speed in noisy multi-level scenarios.
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SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility
SpinTune applies reinforcement learning to discover adaptive dynamical decoupling sequences that outperform standard methods at preserving coherence in simulated Carbon-13 spin bath environments.
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A High-Performance Training-Free Pipeline for Robust Random Telegraph Signal Characterization via Adaptive Wavelet-Based Denoising and Bayesian Digitization Methods
A training-free pipeline using adaptive DTCWT denoising and Bayesian digitization improves RTS reconstruction accuracy and speed in noisy multi-level scenarios.