Revision as of 17:14, 23 September 2024 edit Kvng (talk \| contribs) Extended confirmed users, New page reviewers 115,943 edits m WP:ADOPTYPO boolean -> Boolean ← Previous edit		Revision as of 23:05, 20 February 2025 edit undo JavaFXpert (talk \| contribs) 64 edits Added short section entitled QAOA algorithm Qiskit implementation Next edit →
Line 128: Finally, there has been significant research interest in leveraging specific hardware to enhance the performance of QAOA across various platforms, such as trapped ion, neutral atoms, superconducting qubits, and photonic quantum computers. The goals of these approaches include overcoming hardware connectivity limitations and mitigating noise-related issues to broaden the applicability of QAOA to a wide range of combinatorial optimization problems. ==QAOA algorithm Qiskit implementation== The quantum circuit shown here is from [https://learning.quantum.ibm.com/tutorial/quantum-approximate-optimization-algorithm a simple example of how the QAOA algorithm can be implemented in Python] using [[Qiskit]], an open-source quantum computing software development framework by IBM. [[File:QAOA quantum circuit.png\|thumb\|QAOA quantum circuit]] == See also ==

Quantum optimization algorithms: Difference between revisions