quantum-neural-networks
There are 37 repositories under quantum-neural-networks topic.
artix41/awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
Winter-Soren/quantum-ml-handbook
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
LWKJJONAK/Quantum_Neural_Network_Classifiers
Codes for efficiently implementing quantum neural network classifiers
yh08037/quantum-neural-network
Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit
ericardomuten/qml-vqa-library
A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.
instance01/qubo-nn
Classifying, auto-encoding and reverse-engineering QUBO matrices
SaashaJoshi/piQture
piQture: A quantum machine learning library for image processing.
BoltzmannEntropy/QMLDocker
A docker container for quantum machine learning (QML) research
ericardomuten/quantum_image_classifier
A repository for finishing my undergraduate thesis titled: Quantum Image Classifier Design with Data Re-uploading Quantum Convolution and Data Re-uploading Classifier Scheme.
alejomonbar/Quantum-Supply-Chain-Manager
The quantum supply chain manager is a quantum solution for logistics problems. We use the power of quantum machine learning for product [backorder](https://www.investopedia.com/terms/b/backorder.asp) prediction and quantum optimization for finding the best route to pick those products with high demand to store them in strategic warehouses. With the first technique, our clients can be prepared for increasing the production of their products when they are in high demand. Once we have established a set of products needed during a period of time, we use our second solution, the vehicle routing problem (VRP) solution to find the optimal route for picking these products. This reduces considerably costs associated with logistics, transportation, backorders, and overstocking for our clients. In summary, these solutions will improve business in terms of client satisfaction, backorder and shipping transportation costs.
qlan3/QuantumExplorer
A quantum reinforcement learning framework based on PyTorch and PennyLane.
AgnostiqHQ/Quantum-Variational-Rewinding
Covalent demonstration of the QVR algorithm using a cryptocurrency time series use case
AishSweety/hybrid-quantum-classical-models-for-image-classification
Reimplementing the hybrid quantum-classical models from the paper "Quantum machine learning for image classification" by Arsenii Senokosov et al (https://arxiv.org/pdf/2304.09224.pdf)
amacaluso/Quantum-Single-Layer-Perceptron
This repository contains the code to reproduce the results in the paper A Variational algorithm for Quantum Neural Networks, accepted in the International Conference on Computational Science 2020, Quantum Computing track.
zhenhouhong/QCNN-Fold
Qauntum convolutional neural network in protein distance prediction.
mballarin97/mps_qnn
Entanglement characterization of variational quantum circuits using a Matrix Product State simulator and qiskit.
Farquhar13/QNN-Gen
Framework and paper for quantum machine learning ansatzë
themisvaltinos/Quantum-Neural-Networks
Implementations of quantum circuits for Quantum Neural Networks with Qutrits
ashharr/quantum-neural-networks
Feed forward QNN
zhenhouhong/QSpeech
A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.
AgenttiX/fys2029-project
FYS2029 Quantum Computing project work: quantum neural networks
ipsitmantri/QML-HEP-Evaluation-Test-GSOC-2021
This repository contains my solution to the evaluation tasks on QML-HEP for ML4Sci Umbrella Organization in GSoC 2021
Oounce/classical-quantum-mnist
Single pixel imaging with classical and quantum neutral network
redx94/QuantumAI
🚀 QuantumAI merges Quantum Computing with Artificial Intelligence to revolutionize machine learning, cryptography, and optimization. Leveraging quantum superposition, entanglement, and hybrid AI models, this project pushes the boundaries of computational intelligence. ⚡ Next-gen AI meets quantum power! 💡
francidellungo/Quantum-recurrent-neural-network
Quantum version of recurrent neural networks for machine learning
gianniskts/Quantum-Machine-Learning
This project involves simulating a quantum classifier using a variational quantum circuit for binary classification problems. It is divided into three main parts, each contributing to the total project credits.
Guigui14460/effective-dimension-pytorch
PyTorch implementation of "Effective dimension of machine learning models" paper
obliviateandsurrender/Qure
Quantum architecture for predicting evolution of time series and analyze any anomalies arising in it.
reza-chehreghani/AI-Project-2-Clustering-DecisionTree-Quantum-Neural-Networks
Applied clustering algorithms for grouping investors, trained Decision Tree and Random Forest models, and implemented quantum data encoding and Quantum Neural Networks with Qiskit.
sergio94al/QSVM-QNN-Seminars
Notebooks for the Seminar in ETSIT (UPM) - Master of Science in Signal Theory and Communication (Track: SIGNAL PROCESSING AND MACHINE LEARNING FOR BIG DATA).
nknishio/Cervical-Spondylosis
Using image processing techniques and comparing the performance of classical convolutional neural networks with quantum neural networks to detect cervical spondylosis.