Quantum neural network (original) (raw)
- الشبكات العصبية الكمية نماذج شبكة عصبية حسابية تعتمد على مبادئ الميكانيكا الكمية. وتجمع الشبكات العصبية الكمية بين نماذج الشبكة العصبية الاصطناعية الأصلية ومزايا المعلومات الكمية من أجل تطوير خوارزميات أحسن. (ar)
- Neuronale Schaltkreise sind in ihrer Arbeitsweise dem biologischen Nervensystem nachempfunden (siehe Neuronaler Erregungskreis). Neuronale Schaltkreise beruhen auf der Technik künstlicher neuronaler Netze. Die Arbeitsweise Neuronaler Schaltkreise ist in der Regel Parallel Distributed Processing oder eine alternative davon abgeleitete Technik. Der wichtigste Vertreter der neuronalen Schaltkreise sind die neuromorphen Schaltkreise, welche die Nachbildung biologischer Neuronen zum Ziel haben. (de)
- Una red neuronal cuántica (QNN) es un modelo de red neuronal que está basado en los principios de la mecánica cuántica. Hay dos aproximaciones diferentes en la investigación de las QNN: de un lado, explotando el procesamiento de información cuántica para mejorar los modelos de redes neuronales actuales (en ocasiones, también viceversa), y, de otro, buscando efectos cuánticos potenciales en el cerebro. (es)
- Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural computation were published independently in 1995 by Subhash Kak and Ron Chrisley, engaging with the theory of quantum mind, which posits that quantum effects play a role in cognitive function. However, typical research in quantum neural networks involves combining classical artificial neural network models (which are widely used in machine learning for the important task of pattern recognition) with the advantages of quantum information in order to develop more efficient algorithms. One important motivation for these investigations is the difficulty to train classical neural networks, especially in big data applications. The hope is that features of quantum computing such as quantum parallelism or the effects of interference and entanglement can be used as resources. Since the technological implementation of a quantum computer is still in a premature stage, such quantum neural network models are mostly theoretical proposals that await their full implementation in physical experiments. Most Quantum neural networks are developed as feed-forward networks. Similar to their classical counterparts, this structure intakes input from one layer of qubits, and passes that input onto another layer of qubits. This layer of qubits evaluates this information and passes on the output to the next layer. Eventually the path leads to the final layer of qubits. The layers do not have to be of the same width, meaning they don't have to have the same number of qubits as the layer before or after it. This structure is trained on which path to take similar to classical artificial neural networks. This is discussed in a lower section. Quantum neural networks refer to three different categories: Quantum computer with classical data, classical computer with quantum data, and quantum computer with quantum data. (en)
- Квантові нейронні мережі (QNNs) — модель нейронної мережі, яка базуються на принципах квантової механіки. Існує два різних підходи до дослідження QNN: одна експлуатаційна обробка квантової інформації для вдосконалення існуючих моделей нейронних мереж (іноді також і навпаки), а інша — пошук потенційних квантових ефектів у мозку. (uk)
- https://arxiv.org/abs/1408.7005
- https://arxiv.org/abs/quant-ph/0401127
- http://www.cic.unb.br/~weigang/qc/aci.html
- https://web.archive.org/web/20131113014007/http:/www.dwavesys.com/en/dev-tutorial-neural.html
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- الشبكات العصبية الكمية نماذج شبكة عصبية حسابية تعتمد على مبادئ الميكانيكا الكمية. وتجمع الشبكات العصبية الكمية بين نماذج الشبكة العصبية الاصطناعية الأصلية ومزايا المعلومات الكمية من أجل تطوير خوارزميات أحسن. (ar)
- Neuronale Schaltkreise sind in ihrer Arbeitsweise dem biologischen Nervensystem nachempfunden (siehe Neuronaler Erregungskreis). Neuronale Schaltkreise beruhen auf der Technik künstlicher neuronaler Netze. Die Arbeitsweise Neuronaler Schaltkreise ist in der Regel Parallel Distributed Processing oder eine alternative davon abgeleitete Technik. Der wichtigste Vertreter der neuronalen Schaltkreise sind die neuromorphen Schaltkreise, welche die Nachbildung biologischer Neuronen zum Ziel haben. (de)
- Una red neuronal cuántica (QNN) es un modelo de red neuronal que está basado en los principios de la mecánica cuántica. Hay dos aproximaciones diferentes en la investigación de las QNN: de un lado, explotando el procesamiento de información cuántica para mejorar los modelos de redes neuronales actuales (en ocasiones, también viceversa), y, de otro, buscando efectos cuánticos potenciales en el cerebro. (es)
- Квантові нейронні мережі (QNNs) — модель нейронної мережі, яка базуються на принципах квантової механіки. Існує два різних підходи до дослідження QNN: одна експлуатаційна обробка квантової інформації для вдосконалення існуючих моделей нейронних мереж (іноді також і навпаки), а інша — пошук потенційних квантових ефектів у мозку. (uk)
- Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural computation were published independently in 1995 by Subhash Kak and Ron Chrisley, engaging with the theory of quantum mind, which posits that quantum effects play a role in cognitive function. However, typical research in quantum neural networks involves combining classical artificial neural network models (which are widely used in machine learning for the important task of pattern recognition) with the advantages of quantum information in order to develop more efficient algorithms. One important motivation for these investigations is the difficulty to train classical neural networks, especially in big data applications. The hope is that (en)
- شبكة عصبية كمية (ar)
- Xarxa neuronal quàntica (ca)
- Neuronaler Schaltkreis (de)
- Red neuronal cuántica (es)
- Quantum neural network (en)
- Квантова нейронна мережа (uk)
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- https://global.dbpedia.org/id/tXBw
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