GitHub topics: pennylane
quantumsoftwarelab/DRM_fourier_expressivity
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ritu-thombre99/explaining_quanvolution
This work explores whether the quanvolution neural network is explainable by proposing a novel mathematical approach for quantifying explainability
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PennyLaneAI/catalyst
A JIT compiler for hybrid quantum programs in PennyLane
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quantum-plugins/quantum-server-plugin-template
The plugin template for quantum-local-server
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brian-hepler-phd/kak-decomposition-qml
Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.
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Dpbm/qserver
A server to run your quantum jobs locally
Language: Go - Size: 1.52 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

ionq-samples/getting-started
A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks
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qBraid/qBraid
A platform-agnostic quantum runtime framework
Language: Python - Size: 40 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 82 - Forks: 34

BoltzmannEntropy/QMLDocker
A docker container for quantum machine learning (QML) research
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huckiyang/QuantumSpeech-QCNN
IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition
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FhG-IISB-MKI/cleanqrl
Clean and easy to understand implementations of many Quantum Reinforcement Learning agents as well as their classical analouges. Greately inspired by the orgininal CleanRL
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georgkruse/cleanqrl
Clean and easy to understand implementations of many Quantum Reinforcement Learning agents as well as their classical analouges. Greately inspired by the orgininal [CleanRL](https://github.com/vwxyzjn/cleanrl)
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tiboalberny/woocommerce-pennylane
WooCommerce plugin for Pennylane
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Axect/QuantumAlgorithms
Implementations of Quantum Algorithms
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subatomicERROR/Quantum-ML
Quantum-ML is a hybrid quantum-classical machine learning project leveraging quantum computing and AI to deliver advanced predictions and solutions through a fast API interface.
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AIdjis/Quantum_SVM
implement the quantum support vector machine for classification using pennylane framework
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ianreppel/zoose-codespace
Zoose Quantum Codespace
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Ashad001/2Q48
This project compares heuristic, classical reinforcement learning (RL), and quantum RL approaches to evaluate their efficiency, decision-making strategies, and performance in a grid-based environment.
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albertnieto/quantum_convolutional_nn_benchmark
Benchmarking quanvolutional neural networks with QCML and Pennylane.
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albertnieto/qcml
A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.
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QUANTA-Research-Group/Curso_Qudits
Computación Cuántica: De Qubits a Qudits
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reshalfahsi/quantum-transfer-learning-metastases
Quantum Transfer Learning for Lymph Node Metastases Detection
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thecoachingonline/Learning-Pennylane
Learning-Pennylane
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LeoMartinezTAMUK/Quantum_Machine_Learning
In this project, Quantum Machine Learning (QML) is applied to synthetic data to perform binary classification using a variable amount of simulated qubits on classical computer hardware.
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HangmingZhang/Quantum-Error-Mitigation-via-Z-mixed-state-Expression-of-the-Pauli-Channel
This is a portion of code related to Joint Mitigation of Quantum Gate and Measurement Errors via the Z-mixed-state Expression of the Pauli Channel.
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Dpbm/bayesian-networks
Testing Quantum bayesian networks with pennnylane
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reshalfahsi/quantum-lenet
Image Recognition with Quantum LeNet
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rahulsust/Quantum-Computing
This repository is a collection of projects on Quantum Computing.
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Kahsolt/VQLS-JiuZhang-PennyLane
Contest solution for 2024第三届“量旋杯”大湾区量子计算挑战营
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alejomonbar/QNN-for-Thermodynamic-correlation
QNN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling.
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Drakkar-Software/pennylane-openapi-clients
Pennylane api client. Only typescript for now
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JeremieGince/MNIST_classification_using_Quantum_Machine_Learning
Project for McGill Physics Hackathon 2020
Language: Python - Size: 9.53 MB - Last synced at: 18 days ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 0

ericyoc/quantum-circuit-anomaly-detection-poc
A quantum anomaly detection approach using the Cirq and Pennylane libraries, designed to detect adversarial attacks on quantum circuits.
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ericyoc/quantum-circuits-poc
Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.
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MonitSharma/Learn-Quantum-Machine-Learning
Learn Quantum Machine Learning
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plutoniumm/abraxas
Cross framework compilation for simple circuits
Language: Python - Size: 359 KB - Last synced at: 18 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 1

tanjinadnanabir/PennyLane-Quantum-Computing
This repository contains all PennyLane quantum computing programs and projects
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sdi2000182/Variational-Quantum-Classifier
Implementation of a Variational Quantum Classifier
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abhilash1910/EuroPython-21-QuantumDeepLearning
Materials and Resources for the EuroPython 21 Talk on "Introduction to Quantum Deep Learning" on 28/7/2021.
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CarinSamer/Team-Aya-Carin-Quantum-Computing-with-Qubit-Manipulation-2A-
A research paper conducted by Carin Samer(Alexandria , Egypt) and Aya Ahmed (Cairo , Egypt) throughout a research program called "Introuduction to Quantum Research for Girls " by PhysicsBeyound and Girls in Quantum from April 29 to June 28. In this research paper with discussed the methodology of working with a quantum computer.
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babcockt18/On-Nonlinearities-in-QML-Paper-Implementation
Repository contains implementations of Quantum Hadamard Product and Generalized Quantum Transpose Algorithms
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Nikait/QHCNN
Quantum-Hybrid Convolutional Neural Network with data re-uploading
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6arlos6/QML_with_spins_using_DRU_algorithm
This project implement DRU classifier in a spin-electronic-qubit-two-level sistem.
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ShababAhmedd/CSE481_QuantumComputing-I
This repository contains all the theory resources and lab assignments done in the course CSE481 of BracU
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mickahell/quantum_experiments
Some quantum experiments
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qucai-lab/qhack2022-hackeinberg-project
Adaptive Circuit - QHack2022 24hrs Hackathon - 2nd place Quantum Chemistry Challenge
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TheHarshal30/Xanadu-Codebook-Solutions
Repository for Xanadu Codebook solutions
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Dpbm/quantum
learning quantum computing
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bavba/Multi-party_computation_for_financial_data_analysis
Multi-Party Computation transforms data handling by decentralizing trust among multiple participants. This ensures that no single entity demands absolute trust. An advantage for companies in safeguarding data privacy: once data leaves the user's computer, it remains obscured from any single external entity.
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qdevpsi3/qrl-dqn-gym
PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
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MarzioVallero/qufi
Adaptation of QuFI to the Pennylane API
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RePlasma/QuantumGaussianMomenta
Retrieving momenta from gaussian distribution in PennyLane
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nagarx/Evaluate_Quantum_Fourier_Transform_using_Quantum_Machine_Learning
An advanced exploration of Quantum Fourier Transform (QFT) using Quantum Machine Learning (QML). This project delves into the optimization of variational quantum circuits, leveraging machine learning techniques to evaluate and visualize the transformation capabilities of QFT in quantum computing.
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qlan3/QuantumExplorer
A quantum reinforcement learning framework based on PyTorch and PennyLane.
Language: Python - Size: 42 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 6

maximer-v/quantum-machine-learning
This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).
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alanspace/Optimizing-Quantum-Circuit-Parameters-using-Gradient-Descent
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JessicaJohnBritto/Quantum-Computing-and-Information
Quantum Computing Notes | Quantum algorithms and protocols using qiskit | QFT using Pennylane and Cirq | Xanadu CodeBook | Tutorials in Cirq
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ycchen1989/Var-QuantumCircuits-DeepRL
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
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EmilianoG-byte/QHack2023 Fork of aaronleesander/QHack2023
MFC submission for the QHack 2023: Accelerating Noisy Algorithm Research with PennyLane- Lightning and NVIDIA cuQuantum SDK
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MonitSharma/Quantum-Codebooks
This repo contains the online quantum codebooks walkthroughs
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temuj1n/strawberry-fields-forever
Pour les PME qui utilisent Pennylane pour leur comptabilité et déclarent eux-même leur TVA mensuelle, ce script se connecte à l'API et récupère les encaissements et décaissements du mois choisi. Résultat donné sous forme de tableau pour remplir directement sa déclaration.
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ericedu1/QML_practice
Practice Quantum machine learning through PennyLane.
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MonitSharma/Quantum-Machine-Learning-on-Near-Term-Quantum-Devices
List of some personal QML Projects
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MonitSharma/Xanadu-Codebook-Solutions
This repo contains the online xanadu quantum codebooks solutions
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ericardomuten/qhack-2021-openproject
This project aims to use modified layerwise learning on data re-uploading classifier to classify events in HEP. The project won second place at Xanadu's QHack Quantum Machine Learning Open Hackathon 2021.
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QuCAI-Lab/QHack2022
Solutions to the QHack2022 coding challenge.
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zlaabsi/quantum_dl
Quantum Deep Learning Algorithms
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leonardoLavagna/Quantum-Machine-Learning
Materials and scripts to study and practice Quantum Machine Learning
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anonymousr007/100-Weeks-of-PennyLane
100 Weeks of PennyLane [700 Days]
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BillyLjm/QHack2023
Solutions of the QHack 2023 Quantum Coding Challenges
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BillyLjm/QHack2021 Fork of XanaduAI/QHack2021 📦
Solutions to the QHack2021 Quantum Machine Learning Hackathon
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BillyLjm/QHack2022 Fork of XanaduAI/QHack2022 📦
Solutions to the QHack2022 Quantum Computing Hackathon
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BillyLjm/PennyLane-Code-Camp-2022 📦
Solutions to the Quantum Computing Coding Challenges
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rochisha0/stock-picking
Creating Variational Quantum Algorithm from scratch to find optimal portfolios
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Innanov/Xanadu-Codebook-Solutions
Solutions by Quantum Synapse Team(QHack 2023)
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ritu-thombre99/QHack-2022-Coding-Challenge-Solutions
Solutions to 25 coding problems from QHack Coding Challenge 2022 (https://github.com/XanaduAI/QHack/tree/master/Coding_Challenges)
Language: Python - Size: 12.5 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

Quantronauts/qhack21 📦
Quant'ronauts repository for QHACK21
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NathanPaceydev/Quantum-Computing-with-Xanadu-PennyLane
My solutions to the Quantum Computing Codebooks produced by Xanadu using the python library PennyLane. Including a multivariable example of Grover's algorithm compared to a Linear Search.
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userr2232/classical_to_quantum
A tutorial on classical to quantum transfer learning by Xanadu AI
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xmootoo/Xanadu-Codebook
Solutions to the Xanadu Quantum Codebook codercises.
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PlanQK/TrainableQuantumConvolution
Trainable convolution for quantum-classical hybrid algorithms
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zhenhouhong/QCNN-Fold
Qauntum convolutional neural network in protein distance prediction.
Language: Python - Size: 427 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

Quantronauts/quantum_data-classifier
Classifier for quantum data
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22phuber/quantum-machine-learning-bootstrap
Quantum ML Bootstrap python scripts with multiprocessing
Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

zhenhouhong/QSpeech
A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.
Language: Python - Size: 1.24 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1

stfnmangini/Learning2learn
This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.
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vongostev/PennyLane_Examples
Набор примеров использования библиотеки PennyLane в различных оптимизационных задачах.
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Q-ComputingChile/ApproxTimeEvolution
Applies the Trotterized time-evolution operator for an arbitrary Hamiltonian, expressed in terms of Pauli gates.
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Top-Gun-Maxverick/TestingQCNN
Experimenting with various QML algorithms to make a QCNN
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SaashaJoshi/quantum-machine-learning
Quantum Machine Learning concepts in code
Language: Python - Size: 11.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

084e0d1c/Quantum-ML
UResearch Programme 2021 - Self Learning Materials
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userr2232/hello-quantum-world
Small tutorials from Xanadu AI and CERN lectures
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kshhhv/QOSF-screening
Screening task submission for the QOSF mentorship
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rochisha0/qosf-task
Submission of Task 2 for the screening of QOSF Mentorship Program
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