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

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

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

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...

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...

An optical neural network is a physical implementation of an artificial neural network with optical components. Early optical neural networks used a photorefractive...

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

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

In quantum computing, Grover's algorithm, also known as the quantum search algorithm, is a quantum algorithm for unstructured search that finds with high...

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

Kak and Ronald Chrisley propose the first quantum neural network. Lov Grover, at Bell Labs, invents the quantum database search algorithm. The quadratic...

Post-quantum cryptography (PQC), sometimes referred to as quantum-proof, quantum-safe, or quantum-resistant, is the development of cryptographic algorithms...

previous neural network layer while i {\displaystyle i} iterates through the number of kernels of the current layer. In quantum neural networks programmed...

A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep...

In quantum computing, a qubit (/ˈkjuːbɪt/) or quantum bit is a basic unit of quantum information—the quantum version of the classic binary bit physically...

Quantum key distribution (QKD) is a secure communication method that implements a cryptographic protocol involving components of quantum mechanics. It...

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

Quantum information science is a field that combines the principles of quantum mechanics with information theory to study the processing, analysis, and...

Shor's algorithm is a quantum algorithm for finding the prime factors of an integer. It was developed in 1994 by the American mathematician Peter Shor...

Feedforward refers to recognition-inference architecture of neural networks. Artificial neural network architectures are based on inputs multiplied by weights...

IBM Quantum Platform (previously known as IBM Quantum Experience) is an online platform allowing public and premium access to cloud-based quantum computing...

The many-worlds interpretation (MWI) is an interpretation of quantum mechanics that asserts that the universal wavefunction is objectively real, and that...

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

A recursive neural network is a kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce...

A topological quantum computer is a type of quantum computer. It utilizes anyons, a type of quasiparticle that occurs in two-dimensional systems. The...

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...

Quantum teleportation is a technique for transferring quantum information from a sender at one location to a receiver some distance away. While teleportation...

Quantum cryptography is the science of exploiting quantum mechanical properties to perform cryptographic tasks. The best known example of quantum cryptography...

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

The Kane quantum computer is a proposal for a scalable quantum computer proposed by Bruce Kane in 1998, who was then at the University of New South Wales...