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Loading...Introduction to Quantum Circuit Optimization
When I first started working with quantum circuits, I quickly realized the importance of optimization. Last quarter, our team discovered that our quantum circuits were losing coherence at scale. We tried surface codes first, but that was a complete failure. Here's what we learned about quantum circuit optimization with Qiskit 0.41 and Cirq 1.3.
The Problem of Quantum Circuit Optimization
Quantum circuit optimization is a critical step in quantum computing. It involves reducing the number of gates in a quantum circuit while maintaining its functionality. This is essential for large-scale quantum computing, as the number of gates in a circuit can quickly become overwhelming.
Qiskit 0.41 and Cirq 1.3: A Comparative Analysis
We compared the performance of Qiskit 0.41 and Cirq 1.3 in optimizing quantum circuits.
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- Complete step-by-step implementation guide
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- Real-world examples and metrics
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