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Found 5 papers, 1 papers with code
Fully autonomous tuning of a spin qubit
However, the development of large-scale semiconductor quantum circuits is still limited by challenges in efficiently tuning and operating these circuits.
The Automated Bias Triangle Feature Extraction Framework
Bias triangles represent features in stability diagrams of Quantum Dot (QD) devices, whose occurrence and property analysis are crucial indicators for spin physics.
Identifying Pauli spin blockade using deep learning
Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify.
Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation
Quantum metrology promises unprecedented measurement precision but suffers in practice from the limited availability of resources such as the number of probes, their coherence time, or non-classical quantum states.
Improving the dynamics of quantum sensors with reinforcement learning
Recently proposed quantum-chaotic sensors achieve quantum enhancements in measurement precision by applying nonlinear control pulses to the dynamics of the quantum sensor while using classical initial states that are easy to prepare.
