Add to ORKGAbstract: Quantum computation uses microscopic quantum level effects to perform computational tasks and has produced results that in some cases are exponentially faster than their classical counterparts. Choosing the best weights for a neural network is a time consuming problem that makes the harnessing of this “quantum parallelism” appealing. This paper briefly covers necessary high-level quantum theory and introduces a model for a quantum neuron.
In recent years, Quantum Computing witnessed massive improvements in terms of available resources an...
It is shown by classical simulation and experimentation that quantum artificial neural networks (QUA...
Artificial neural networks have achieved great success in many fields ranging from image recognition...
Abstract: Quantum computation uses microscopic quantum level effects to perform computational tasks ...
AbstractThis paper initiates the study of quantum computing within the constraints of using a polylo...
Quantum computing (physically-based computation founded on quantum-theoretic concepts) is gaining pr...
Artificial intelligence algorithms largely build on multi-layered neural networks. Coping with their...
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....
Abstract. This chapter outlines the research, development and perspectives of quantum neural network...
Neural networks are computing models that have been leading progress in Machine Learning (ML) and Ar...
We present a memory-efficient quantum algorithm implementing the action of an artificial neuron acco...
Neural networks are computing models that have been leading progress in Machine Learning (ML) and Ar...
We present a memory-efficient quantum algorithm implementing the action of an artificial neuron acco...
Quantum computation uses microscopic quantum level effects to perform computational tasks and has pr...
In recent years, Quantum Computing witnessed massive improvements in terms of available resources an...
It is shown by classical simulation and experimentation that quantum artificial neural networks (QUA...
Artificial neural networks have achieved great success in many fields ranging from image recognition...
Abstract: Quantum computation uses microscopic quantum level effects to perform computational tasks ...
AbstractThis paper initiates the study of quantum computing within the constraints of using a polylo...
Quantum computing (physically-based computation founded on quantum-theoretic concepts) is gaining pr...
Artificial intelligence algorithms largely build on multi-layered neural networks. Coping with their...
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....
Abstract. This chapter outlines the research, development and perspectives of quantum neural network...
Neural networks are computing models that have been leading progress in Machine Learning (ML) and Ar...
We present a memory-efficient quantum algorithm implementing the action of an artificial neuron acco...
Neural networks are computing models that have been leading progress in Machine Learning (ML) and Ar...
We present a memory-efficient quantum algorithm implementing the action of an artificial neuron acco...
Quantum computation uses microscopic quantum level effects to perform computational tasks and has pr...
In recent years, Quantum Computing witnessed massive improvements in terms of available resources an...
It is shown by classical simulation and experimentation that quantum artificial neural networks (QUA...
Artificial neural networks have achieved great success in many fields ranging from image recognition...