GitHub / davitacols / Building-a-Variational-Quantum-Classifier-in-Python-with-Qiskit
This project demonstrates how to build a Variational Quantum Classifier (VQC) using Qiskit. VQCs combine parameterized quantum circuits with classical optimization to classify data into categories. The workflow includes quantum data encoding, circuit design (using the RyRz ansatz), hybrid optimization, and result evaluation.
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PURL: pkg:github/davitacols/Building-a-Variational-Quantum-Classifier-in-Python-with-Qiskit
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License: apache-2.0
Language: Python
Size: 22.5 KB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 7 months ago
Topics: classifier, qiskit, quantum-computing, variational, variational-autoencoder