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Found 3 papers, 1 papers with code
Integrating Quantum Processor Device and Control Optimization in a Gradient-based Framework
In a quantum processor, the device design and external controls together contribute to the quality of the target quantum operations.
Neural Network Decoders for Large-Distance 2D Toric Codes
The structure of our neural network decoder is inspired by the renormalization group decoder.
Using Recurrent Neural Networks to Optimize Dynamical Decoupling for Quantum Memory
We utilize machine learning models which are based on recurrent neural networks to optimize dynamical decoupling (DD) sequences.
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