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Works (6)

Invited: Challenges and Opportunities of Quantum Optimization in Finance

2024-06-23 | Conference paper
DOI: 10.1145/3649329.3664193
Contributors: Zichang He; Shouvanik Chakrabarti; Dylan Herman; Niraj Kumar; Changhao Li; Pierre Minssen; Pradeep Niroula; Ruslan Shaydulin; Yue Sun; Shree Hari Sureshbabu et al.
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Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem

Science Advances
2024-05-31 | Journal article
DOI: 10.1126/sciadv.adm6761
Contributors: Ruslan Shaydulin; Changhao Li; Shouvanik Chakrabarti; Matthew DeCross; Dylan Herman; Niraj Kumar; Jeffrey Larson; Danylo Lykov; Pierre Minssen; Yue Sun et al.
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Expressivity of Variational Quantum Machine Learning on the Boolean Cube

IEEE Transactions on Quantum Engineering
2023 | Journal article
DOI: 10.1109/TQE.2023.3255206
Contributors: Dylan Herman; Rudy Raymond; Muyuan Li; Nicolas Robles; Antonio Mezzacapo; Marco Pistoia
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Quantum Deep Hedging

Quantum
2023-11-29 | Journal article
DOI: 10.22331/q-2023-11-29-1191
Contributors: El Amine Cherrat; Snehal Raj; Iordanis Kerenidis; Abhishek Shekhar; Ben Wood; Jon Dee; Shouvanik Chakrabarti; Richard Chen; Dylan Herman; Shaohan Hu et al.
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Constrained optimization via quantum Zeno dynamics

Communications Physics
2023-08-18 | Journal article
DOI: 10.1038/s42005-023-01331-9
Contributors: Dylan Herman; Ruslan Shaydulin; Yue Sun; Shouvanik Chakrabarti; Shaohan Hu; Pierre Minssen; Arthur Rattew; Romina Yalovetzky; Marco Pistoia
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Quantum computing for finance

Nature Reviews Physics
2023-07-11 | Journal article
DOI: 10.1038/s42254-023-00603-1
Contributors: Dylan Herman; Cody Googin; Xiaoyuan Liu; Yue Sun; Alexey Galda; Ilya Safro; Marco Pistoia; Yuri Alexeev
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