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Found 4 papers, 1 papers with code
Evaluating analytic gradients on quantum hardware
An important application for near-term quantum computing lies in optimization tasks, with applications ranging from quantum chemistry and drug discovery to machine learning.
Quantum Physics
PennyLane: Automatic differentiation of hybrid quantum-classical computations
PennyLane's core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation.
Automated discovery of characteristic features of phase transitions in many-body localization
We identify a new "order parameter" for the disorder driven many-body localization (MBL) transition by leveraging artificial intelligence.
Quantum Physics Disordered Systems and Neural Networks
Quantum Enhanced Inference in Markov Logic Networks
An MLN is essentially a first-order logic template to generate Markov networks.
