Quantum policy gradient algorithm with optimized action decoding
Quantum machine learning implemented by variational quantum circuits (VQCs) is
considered a promising concept for the noisy intermediate-scale quantum computing era …
considered a promising concept for the noisy intermediate-scale quantum computing era …
Deep quantum neural networks on a superconducting processor
Deep learning and quantum computing have achieved dramatic progresses in recent years.
The interplay between these two fast-growing fields gives rise to a new research frontier of …
The interplay between these two fast-growing fields gives rise to a new research frontier of …
Learning capability of parametrized quantum circuits
D Heimann, G Schönhoff, E Mounzer… - arXiv preprint arXiv …, 2022 - arxiv.org
Variational quantum algorithms (VQAs) and their applications in the field of quantum
machine learning through parametrized quantum circuits (PQCs) are thought to be one …
machine learning through parametrized quantum circuits (PQCs) are thought to be one …
Expressive quantum perceptrons for quantum neuromorphic computing
Quantum neuromorphic computing (QNC) is a sub-field of quantum machine learning (QML)
that capitalizes on inherent system dynamics. As a result, QNC can run on contemporary …
that capitalizes on inherent system dynamics. As a result, QNC can run on contemporary …
Dissipative quantum many-body dynamics in (1+ 1) D quantum cellular automata and quantum neural networks
M Boneberg, F Carollo, I Lesanovsky - New Journal of Physics, 2023 - iopscience.iop.org
Classical artificial neural networks, built from elementary units, possess enormous
expressive power. Here we investigate a quantum neural network (QNN) architecture, which …
expressive power. Here we investigate a quantum neural network (QNN) architecture, which …
Quantum Simulation of Tunable Neuron Activation
The activation of the neuron is simulated by a quantum circuit. When the circuit is deep
enough, the output qubit is deterministically in the state| 1⟩ |1⟩ if the probability of the input …
enough, the output qubit is deterministically in the state| 1⟩ |1⟩ if the probability of the input …
A quantum information theoretic view on a deep quantum neural network
BC Hiesmayr - AIP Conference Proceedings, 2024 - pubs.aip.org
We discuss a quantum version of an artificial deep neural network where the role of neurons
is taken over by qubits and the role of weights is played by unitaries. The role of the non …
is taken over by qubits and the role of weights is played by unitaries. The role of the non …