@mathemetica: At just 18, Ewin Tang (now at UC Berkeley) developed a groundbreaking classical algorithm for recommendation systems (t…

X AI KOLs Following 05/08/26, 11:30 AM News

quantum-computing classical-algorithms machine-learning recommendation-systems research award stem

Summary

Ewin Tang developed a groundbreaking classical algorithm for recommendation systems that matched quantum performance, challenging quantum advantage assumptions. She was awarded the 2025 Maryam Mirzakhani New Frontiers Prize for her contributions to bridging classical and quantum computing.

At just 18, Ewin Tang (now at UC Berkeley) developed a groundbreaking classical algorithm for recommendation systems (the "Netflix problem") that matched the performance of a leading quantum algorithm; challenging assumptions about quantum advantage and sparking the field of quantum-inspired classical algorithms. Her recent work continues to bridge classical & quantum computing: dequantizing ML/linear algebra algorithms and advancing quantum machine learning on quantum data. In 2025, she became the youngest winner of the Maryam Mirzakhani New Frontiers Prize; a powerful inspiration for emerging young minds in STEM!

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