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Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem

Ruslan Shaydulin,Changhao Li,Shouvanik Chakrabarti,Matthew Decross,Dylan Herman,Niraj Kumar,Jeffrey Larson,Danylo Lykov,Pierre Minssen,Yue Sun,Yuri Alexeev,Joan M. Dreiling,John P. Gaebler,Thomas M. Gatterman,Justin A. Gerber,Kevin Gilmore,Dan Gresh,Nathan Hewitt,Chandler V. Horst,Shaohan Hu,Jacob Johansen,Mitchell Matheny,Tanner Mengle,Michael Mills,Steven A. Moses,Brian Neyenhuis,Peter Siegfried,Romina Yalovetzky,Marco Pistoia

SCIENCE ADVANCES（2024）

Cited 14|Views46
Key words
Quantum Machine Learning,Variational Quantum Algorithms,Quantum Computation,Fault-tolerant Quantum Computation,Quantum Algorithms
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