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Found 5 papers, 2 papers with code
Qadence: a differentiable interface for digital-analog programs
Digital-analog quantum computing (DAQC) is an alternative paradigm for universal quantum computation combining digital single-qubit gates with global analog operations acting on a register of interacting qubits.
Quantum Model-Discovery
One of the most promising general approaches is based on recent developments in the field of scientific machine learning for solving PDEs.
Neural Power Units
Conventional Neural Networks can approximate simple arithmetic operations, but fail to generalize beyond the range of numbers that were seen during training.
Rodent: Relevance determination in differential equations
We aim to identify the generating, ordinary differential equation (ODE) from a set of trajectories of a partially observed system.
Adaptive Anomaly Detection in Chaotic Time Series with a Spatially Aware Echo State Network
This work builds an automated anomaly detection method for chaotic time series, and more concretely for turbulent, high-dimensional, ocean simulations.
