Quantum Circuit Synthesis with Qiskit and Cirq: A Comparative Analysis of QAOA Implementations - NextGenBeing Quantum Circuit Synthesis with Qiskit and Cirq: A Comparative Analysis of QAOA Implementations - NextGenBeing
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Quantum Circuit Synthesis with Qiskit 0.41 and Cirq 1.2: A Comparative Analysis of Quantum Approximation Optimization Algorithm (QAOA) Implementations

Discover how to implement Quantum Approximation Optimization Algorithm (QAOA) using Qiskit 0.41 and Cirq 1.2, and learn from our comparative analysis of these frameworks for quantum circuit synthesis.

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NextGenBeing Founder

NextGenBeing Founder

Nov 13, 2025 35 views
Quantum Circuit Synthesis with Qiskit 0.41 and Cirq 1.2: A Comparative Analysis of Quantum Approximation Optimization Algorithm (QAOA) Implementations
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Introduction to Quantum Circuit Synthesis

When I first started exploring quantum computing, I was fascinated by the concept of quantum circuit synthesis. Recently, 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 synthesis using Qiskit 0.41 and Cirq 1.2, focusing on the Quantum Approximation Optimization Algorithm (QAOA).

What is QAOA?

QAOA is a quantum algorithm used for solving optimization problems. It's an essential tool in quantum computing, but the official docs often miss the hard part: implementation details. I realized QAOA only works if you also understand the underlying quantum circuit synthesis.

Qiskit 0.41 Implementation

We started with Qiskit 0.41, as it's one of the most popular quantum development frameworks.

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What's in the full article

  • Complete step-by-step implementation guide
  • Working code examples you can copy-paste
  • Advanced techniques and pro tips
  • Common mistakes to avoid
  • Real-world examples and metrics

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