Topic: "variational-circuit"
arnavdas88/QuGlassyIsing
Repository for `Glassy dynamics using Quantum Computers` Team in Qiskit Hackathon Europe
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walid-mk/VQE
I Used the Variational Quantum Eigensolver (VQE) to find the ground state of a 4by4 matrix hamiltonian which we will use two qubits for it. The VQE algorithm is run in a noisy and noiseless simulator. The code implementation is written with the Qiskit language.
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ryanhill1/Quantum-Variational-Classifier
Implementations of quantum variational classifier and quantum kernel estimator proposed in Havlíček, V., Córcoles, A.D., Temme, K. et al. Supervised learning with quantum-enhanced feature spaces. Nature 567, 209–212 (2019). https://doi.org/10.1038/s41586-019-0980-2
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nuvinga/fibro-quannet
Pulmonary Fibrosis Prognosis Prediction utilising Quantum Machine Learning - Variational Circuits
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nuvinga/fibro-quannet-app
Codebase of the Fibro-QuanNet: Pulmonary Fibrosis Prognosis Prediction using Quantum Machine Learning
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Hrishikesh332/Quantum-Machine-Learning
Quantum Machine Learning is Quantum Computing + Machine Learning 🧠. There are various benefits associated with using QML: It helps to speed up the training process, working on high dimensional data is possible and more 📊.
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pedroteixeiraw/Variational_Quantum_Circuit_Binary_Classification
This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.
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Aron9605/VQA-GHZ-Distillation
Training iterated protocols for distillation of GHZ states with variational quantum algorithms.
Language: Mathematica - Size: 3.14 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

GilbertoCunha/QuantumVariationalCircuits
An implementation of Quantum Variational Circuits both in Full-Quantum and Hybrid contexts using PyTorch and Pennylane.
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kshhhv/QOSF-screening
Screening task submission for the QOSF mentorship
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