Machine learning meets quantum physics
Sankar Das Sarma, Dong-Ling Deng, Lu-Ming Duan
TL;DR
This paper explores the emerging intersection of machine learning and quantum physics, highlighting potential transformative impacts and new research directions in both fields.
Contribution
It introduces the concept of integrating machine learning techniques with quantum physics to open up novel research opportunities.
Findings
Identifies potential applications in quantum computing and simulation
Proposes new frameworks combining ML and quantum physics
Highlights challenges and future research directions
Abstract
The marriage of machine learning and quantum physics may give birth to a new research frontier that could transform both.
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