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Found 2 papers, 1 papers with code
Quantum Self-Supervised Learning
The resurgence of self-supervised learning, whereby a deep learning model generates its own supervisory signal from the data, promises a scalable way to tackle the dramatically increasing size of real-world data sets without human annotation.
Variational Quantum Algorithms for Nonlinear Problems
We show that nonlinear problems including nonlinear partial differential equations can be efficiently solved by variational quantum computing.
Quantum Physics
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