التفاصيل البيبلوغرافية
| العنوان: |
Bee-yond the plateau: Training QNNs with swarm algorithms. |
| المؤلفون: |
Guerrero, Rubén Darío1 (AUTHOR) rdguerrerom@unal.edu.co |
| المصدر: |
Journal of Chemical Physics. 1/7/2025, Vol. 162 Issue 1, p1-6. 6p. |
| مصطلحات موضوعية: |
*OPTIMIZATION algorithms, *BEES algorithm, *CIRCUIT complexity, *QUANTUM computing, *QUBITS |
| مستخلص: |
In the quest to harness the power of quantum computing, training quantum neural networks (QNNs) presents a formidable challenge. This study introduces an innovative approach, integrating the Bees Optimization Algorithm (BOA) to overcome one of the most significant hurdles—barren plateaus. Our experiments across varying qubit counts and circuit depths demonstrate the BOA's superior performance compared to the Adam algorithm. Notably, BOA achieves faster convergence, higher accuracy, and greater computational efficiency. This study confirms BOA's potential to enhance the applicability of QNNs in complex quantum computations. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
Academic Search Index |