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Found 4 papers, 2 papers with code
Mode connectivity in the loss landscape of parameterized quantum circuits
Variational training of parameterized quantum circuits (PQCs) underpins many workflows employed on near-term noisy intermediate scale quantum (NISQ) devices.
Characterizing the memory capacity of transmon qubit reservoirs
Quantum Reservoir Computing (QRC) exploits the dynamics of quantum ensemble systems for machine learning.
Spike-based primitives for graph algorithms
In this paper we consider graph algorithms and graphical analysis as a new application for neuromorphic computing platforms.
Community detection with spiking neural networks for neuromorphic hardware
Using a fully connected spiking neuron system, with both inhibitory and excitatory synaptic connections, the firing patterns of neurons within the same community can be distinguished from firing patterns of neurons in different communities.
