<ul><li>A 2014 electronics graduate explored Space-Based Solar Power (SBSP) using classical and quantum AI for efficiency.</li><li>Classical AI optimization achieved zero divergence and increased efficiency to about 0.6, scalable for four antennas.</li><li>Quantum AI attempt with Qiskit VQE failed due to installation errors and AttributeError on Colab.</li><li>Seeking help to set up Qiskit VQE for enhancing efficiency of Caltech's MAPLE SBSP system and pursuing a 2026 PhD.</li></ul>

From Classical to Quantum AI: Boosting SBSP MAPLE Efficiency

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