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QTML 2024 Conference

24–29 Nov 2024
University of Melbourne
Australia/Melbourne timezone

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

Not scheduled
20m
Carillo Gantner Theatre (University of Melbourne)

Carillo Gantner Theatre

University of Melbourne

Sidney Myer Asia Centre, Swanston St, University of Melbourne VIC 3010, Australia
Poster Learning and optimisation Posters

Speaker

Ruslan Shaydulin (JPMorgan Chase)

Primary author

Ruslan Shaydulin (JPMorgan Chase)

Co-authors

Changhao Li (JPMorgan Chase) Shouvanik Chakrabarti (JPMorgan Chase) Matthew DeCross (Quantinuum) Dylan Herman (JPMorgan Chase) Niraj Kumar (JPMorgan Chase) Jeffrey Larson (Argonne National Laboratory) Danylo Lykov (JPMorgan Chase) Pierre Minssen (JPMorgan Chase) Yue Sun (JPMorgan Chase) Yuri Alexeev (Argonne National Laboratory) Joan Dreiling (Quantinuum) John Gaebler (Quantinuum) Thomas Gatterman (Quantinuum) Justin Gerber (Quantinuum) Kevin Gilmore (Quantinuum) Dan Gresh (Quantinuum) Nathan Hewitt (Quantinuum) Chandler Horst (Quantinuum) Shaohan Hu (JPMorgan Chase) Jacob Johansen (Quantinuum) Mitchell Matheny (Quantinuum) Tanner Mengle (Quantinuum) Michael Mills (Quantinuum) Steven Moses (Quantinuum) Brian Neyenhuis (Quantinuum) Peter Siegfried (Quantinuum) Romina Yalovetzky (JPMorgan Chase) Marco Pistoia (JPMorgan Chase)

Presentation materials

QTML.pdf
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