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Found 9 papers, 4 papers with code
Hybrid Genetic Optimisation for Quantum Feature Map Design
Kernel-target alignment is faster to evaluate than accuracy and doesn't require some data points to be reserved for its evaluation.
Hierarchical quantum circuit representations for neural architecture search
The QCNN is a circuit model inspired by the architecture of Convolutional Neural Networks (CNNs).
A divide-and-conquer algorithm for quantum state preparation
Results show that we can efficiently load data in quantum devices using a divide-and-conquer strategy to exchange computational time for space.
Quantum effects in the brain: A review
In the mid-1990s it was proposed that quantum effects in proteins known as microtubules play a role in the nature of consciousness.
Quantum classifier with tailored quantum kernel
Kernel methods have a wide spectrum of applications in machine learning.
Quantum Physics
Quantum ensembles of quantum classifiers
Following the success of collective decision making with ensembles in classical machine learning, this paper introduces the concept of quantum ensembles of quantum classifiers.
Implementing a distance-based classifier with a quantum interference circuit
Lately, much attention has been given to quantum algorithms that solve pattern recognition tasks in machine learning.
Quantum Physics
Simulating a perceptron on a quantum computer
Perceptrons are the basic computational unit of artificial neural networks, as they model the activation mechanism of an output neuron due to incoming signals from its neighbours.
Quantum computing for pattern classification
It is well known that for certain tasks, quantum computing outperforms classical computing.
Quantum Physics
