Neural Network Quantum States (NQS or NNQS) is a general class of variational quantum states parameterized in terms of an artificial neural network. It...

Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural...

variational states known as neural network quantum states. In 2018, as research scientist and project leader he joined the Center for Computational Quantum Physics...

Graph neural networks (GNN) are specialized artificial neural networks that are designed for tasks whose inputs are graphs. One prominent example is molecular...

Quantum networks form an important element of quantum computing and quantum communication systems. Quantum networks facilitate the transmission of information...

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure...

classical and quantum mechanical, can be used to reduce the effective computational cost. The first examples of reservoir neural networks demonstrated...

learning systems, in particular neural networks. For example, some mathematical and numerical techniques from quantum physics are applicable to classical...

In artificial neural networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where...

functional theory Lattice gauge theory Matrix product state Neural network quantum states Numerical renormalization group Jenkins, Stephen. "The Many...

machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation...

An echo state network (ESN) is a type of reservoir computer that uses a recurrent neural network with a sparsely connected hidden layer (with typically...

Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by biological neural circuitry...

physical neural network is a type of artificial neural network in which an electrically adjustable material is used to emulate the function of a neural synapse...

theories proposed of quantum consciousness based on quantum mechanics. There is an apparent redundancy and parallelism in neural networks so, while activity...

In the context of artificial neural networks, the rectifier or ReLU (rectified linear unit) activation function is an activation function defined as the...

interpretation Mechanism (philosophy) Neuroplasticity Quantum cognition Quantum neural network "Quantum Approaches to Consciousness". Stanford Encyclopedia...

Tensor networks or tensor network states are a class of variational wave functions used in the study of many-body quantum systems and fluids. Tensor networks...

have recently explored the use of quantum annealing hardware for training Boltzmann machines and deep neural networks. Deep generative chemistry models...

workspace model is a computer model of the neural correlates of consciousness programmed as a neural network. Stanislas Dehaene and Jean-Pierre Changeux...

detectable anomalies. By using quantum superpositions or quantum entanglement and transmitting information in quantum states, a communication system can...

Frontline: Neural Cloud (Chinese: 少女前线：云图计划; pinyin: Shàonǚ qiánxiàn: Yúntú jìhuà) is a roguelike strategy game from Shanghai Sunborn Network Technology...

states via photonically connected networks of remotely entangled ion chains, and combinations of these two ideas. This makes the trapped-ion quantum computer...

Emulating quantum computation with artificial neural networks, arXiv:1810.10335 Carleo, Giuseppe; Troyer, Matthias (February 10, 2017). "Solving the quantum many-body...

developed by Google for neural network machine learning, using Google's own TensorFlow software. Secure cryptoprocessor Quantum processor, a computer that...

of highly diverse neural information in the forming of one's cohesive experience. The neural binding hypothesis states that neural signals are paired...

later layers encountered when training neural networks with backpropagation. In such methods, neural network weights are updated proportional to their...

information as binary states (represented by "1"s and "0"s), quantum memory stores a quantum state for later retrieval. These states hold useful computational...

originates at the quantum level inside neurons (rather than being a product of neural connections). The mechanism is held to be a quantum process called...

In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the...