Add to ORKGDriven by growing computational power and algorithmic developments, machine learning methods have become valuable tools for analyzing vast amounts of data. Simultaneously, the fast technological progress of quantum information processing suggests employing quantum hardware for machine learning purposes. Recent works discuss different architectures of quantum perceptrons, but the abilities of such quantum devices remain debated. Here, we investigate the storage capacity of a particular quantum perceptron architecture by using statistical mechanics techniques and connect our analysis to the theory of classical spin glasses. We focus on a specific quantum perceptron model and explore its storage properties in the limit of a large number of inp...
We can learn from analyzing quantum convolutional neural networks (QCNNs) that: 1) working with quan...
Artificial neural networks are the heart of machine learning algorithms and artificial intelligence....
Artificial neural networks are the heart of machine learning algorithms and artificial intelligence....
Recent developments in quantum machine learning have seen the introduction of several models to gene...
Recent developments in Quantum Machine Learning have seen the introduction of several models to gene...
Quantum computing promises to provide machine learning with computational advantages. However, noisy...
Quantum machine learning algorithms could provide significant speed-ups over their classical counter...
Quantum machine learning techniques have been proposed as a way to potentially enhance performance i...
We demonstrate how machine learning is able to model experiments in quantum physics. Quantum entangl...
Quantum neural networks form one pillar of the emergent field of quantum machine learning. Here quan...
Quantum neural networks form one pillar of the emergent field of quantum machine learning. Here quan...
Quantum machine learning has become an area of growing interest but has certain theoretical and hard...
The data-embedding process is one of the bottlenecks of quantum machine learning, potentially negati...
In recent years, researchers are investing more and more resources in understanding to what extent q...
We revisit the application of neural networks techniques to quantum state tomography. We confirm tha...
We can learn from analyzing quantum convolutional neural networks (QCNNs) that: 1) working with quan...
Artificial neural networks are the heart of machine learning algorithms and artificial intelligence....
Artificial neural networks are the heart of machine learning algorithms and artificial intelligence....
Recent developments in quantum machine learning have seen the introduction of several models to gene...
Recent developments in Quantum Machine Learning have seen the introduction of several models to gene...
Quantum computing promises to provide machine learning with computational advantages. However, noisy...
Quantum machine learning algorithms could provide significant speed-ups over their classical counter...
Quantum machine learning techniques have been proposed as a way to potentially enhance performance i...
We demonstrate how machine learning is able to model experiments in quantum physics. Quantum entangl...
Quantum neural networks form one pillar of the emergent field of quantum machine learning. Here quan...
Quantum neural networks form one pillar of the emergent field of quantum machine learning. Here quan...
Quantum machine learning has become an area of growing interest but has certain theoretical and hard...
The data-embedding process is one of the bottlenecks of quantum machine learning, potentially negati...
In recent years, researchers are investing more and more resources in understanding to what extent q...
We revisit the application of neural networks techniques to quantum state tomography. We confirm tha...
We can learn from analyzing quantum convolutional neural networks (QCNNs) that: 1) working with quan...
Artificial neural networks are the heart of machine learning algorithms and artificial intelligence....
Artificial neural networks are the heart of machine learning algorithms and artificial intelligence....