The paper proposes a new method of quantum computing using control and systems theory as well as matrix-quantum computing. The algorithm developed on the basis of the PR-02 robot’s arm’s movement was implemented in using the Neural Network Toolbox. The application of the neural model instead of the analytic model allowed for obtaining the improvement of the trajectory of the PR-02 robot’s arm movement, while the application of the quantum artificial neural network for the assumed number of quasi-parallel computations equal 1000 did not result in the improvement of the model
We present a memory-efficient quantum algorithm implementing the action of an artificial neuron acco...
Artificial neural networks have achieved great success in many fields ranging from image recognition...
We develop an autonomous agent effectively interacting with noisy quantum computer to solve magnetis...
The paper proposes a new method of quantum computing using control and systems theory as well as mat...
The article contains selected results of research on the design Systemic Evolutionary Algorithm insp...
Quantum computing (physically-based computation founded on quantum-theoretic concepts) is gaining pr...
The work contains selected results of research on the application of quantum computer science to a s...
Abstract: Quantum computation uses microscopic quantum level effects to perform computational tasks ...
Abstract: Quantum computation uses microscopic quantum level effects to perform computational tasks ...
A quantum robot is a mobile quantum system, including an on board quantum computer and needed ancill...
Neural networks are computing models that have been leading progress in Machine Learning (ML) and Ar...
Abstract. There has been a growing interest in articial neural networks (ANNs) based on quantum theo...
AbstractThis paper initiates the study of quantum computing within the constraints of using a polylo...
Abstract. This chapter outlines the research, development and perspectives of quantum neural network...
A quantum-implementable neural network, namely quantum probability neural network (QPNN) model, is p...
We present a memory-efficient quantum algorithm implementing the action of an artificial neuron acco...
Artificial neural networks have achieved great success in many fields ranging from image recognition...
We develop an autonomous agent effectively interacting with noisy quantum computer to solve magnetis...
The paper proposes a new method of quantum computing using control and systems theory as well as mat...
The article contains selected results of research on the design Systemic Evolutionary Algorithm insp...
Quantum computing (physically-based computation founded on quantum-theoretic concepts) is gaining pr...
The work contains selected results of research on the application of quantum computer science to a s...
Abstract: Quantum computation uses microscopic quantum level effects to perform computational tasks ...
Abstract: Quantum computation uses microscopic quantum level effects to perform computational tasks ...
A quantum robot is a mobile quantum system, including an on board quantum computer and needed ancill...
Neural networks are computing models that have been leading progress in Machine Learning (ML) and Ar...
Abstract. There has been a growing interest in articial neural networks (ANNs) based on quantum theo...
AbstractThis paper initiates the study of quantum computing within the constraints of using a polylo...
Abstract. This chapter outlines the research, development and perspectives of quantum neural network...
A quantum-implementable neural network, namely quantum probability neural network (QPNN) model, is p...
We present a memory-efficient quantum algorithm implementing the action of an artificial neuron acco...
Artificial neural networks have achieved great success in many fields ranging from image recognition...
We develop an autonomous agent effectively interacting with noisy quantum computer to solve magnetis...