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Loading...Introduction to Quantum Machine Learning
My team and I have been exploring the applications of quantum machine learning for the past year. Last quarter, we discovered that our quantum circuits were losing coherence at scale. We tried surface codes first - complete failure. Here's what we learned about using Pennylane and Qulacs for quantum circuit learning and quantum k-means clustering.
Background on Pennylane and Qulacs
Pennylane is an open-source software framework for quantum machine learning, while Qulacs is a high-performance simulator for quantum many-body systems. Both libraries have their strengths and weaknesses. I realized that Pennylane is better suited for quantum circuit learning due to its intuitive API, while Qulacs excels at simulating large quantum systems.
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- Complete step-by-step implementation guide
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- Real-world examples and metrics
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