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Quantum Circuit Optimization with Qiskit 0.41 and Cirq 1.3: A Comparative Analysis of Circuit Compilation Strategies

Learn how to optimize quantum circuits with Qiskit 0.41 and Cirq 1.3. Compare the performance of both frameworks and discover the best strategies for quantum circuit optimization.

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NextGenBeing Founder

NextGenBeing Founder

Nov 19, 2025 28 views
Quantum Circuit Optimization with Qiskit 0.41 and Cirq 1.3: A Comparative Analysis of Circuit Compilation Strategies
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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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