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Found 4 papers, 1 papers with code
Quantum One-class Classification With a Distance-based Classifier
We present a new classifier based on HC named Quantum One-class Classifier (QOCC) that consists of a minimal quantum machine learning model with fewer operations and qubits, thus being able to mitigate errors from NISQ (Noisy Intermediate-Scale Quantum) computers.
Parametric Probabilistic Quantum Memory
Probabilistic Quantum Memory (PQM) is a data structure that computes the distance from a binary input to all binary patterns stored in superposition on the memory.
Quantum perceptron over a field and neural network architecture selection in a quantum computer
In this work, we propose a quantum neural network named quantum perceptron over a field (QPF).
Weightless neural network parameters and architecture selection in a quantum computer
Training artificial neural networks requires a tedious empirical evaluation to determine a suitable neural network architecture.
