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Topic: "variational-circuit"

arnavdas88/QuGlassyIsing

Repository for `Glassy dynamics using Quantum Computers` Team in Qiskit Hackathon Europe

Language: Jupyter Notebook - Size: 3.65 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 3

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.

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 4

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

Language: Jupyter Notebook - Size: 90.8 KB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

nuvinga/fibro-quannet

Pulmonary Fibrosis Prognosis Prediction utilising Quantum Machine Learning - Variational Circuits

Size: 40.1 MB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

nuvinga/fibro-quannet-app

Codebase of the Fibro-QuanNet: Pulmonary Fibrosis Prognosis Prediction using Quantum Machine Learning

Language: Jupyter Notebook - Size: 8.76 MB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

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 📊.

Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 686 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

kshhhv/QOSF-screening

Screening task submission for the QOSF mentorship

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0