quantum-neural-network

Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit

🎉Qiskit Hackathon Korea 2021 : Community Choice Award Winner🎉

Team "Quanputing"

Model 1. CNN with Quantum Fully Connected Layer

Build MNIST multi-label classifiers using classical convolution layers and quantum fully-connected layers.

Model 2. CNN with Quantum Convolution Layer

Build MNIST multi-label classifiers using quantum convolution layers and classical fully-connected layers.

References

Model 1. CNN with Quantum Fully Connected Layer

• Hybrid quantum-classical Neural Networks with PyTorch and Qiskit (Qiskit textbook)
• Gradients of parameterized quantum gates using the parameter-shift rule and gatedecomposition (arxiv)

Model 2. CNN with Quantum Convolution Layer

• Quanvolutional Neural Networks (Pennylane demo)
• arxiv-Quanvolutional Neural Networks: PoweringImage Recognition with Quantum Circuits (arxiv)