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ORCIDDylan Herman
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2020 – today
- 2024
[j2]Shree Hari Sureshbabu, Dylan Herman, Ruslan Shaydulin, Joao Basso, Shouvanik Chakrabarti, Yue Sun, Marco Pistoia:
Parameter Setting in Quantum Approximate Optimization of Weighted Problems. Quantum 8: 1231 (2024)- [c2]Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia:
Invited: Challenges and Opportunities of Quantum Optimization in Finance. DAC 2024: 362:1-362:4 - [i7]Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Changhao Li, Marco Pistoia:
Prospects of Privacy Advantage in Quantum Machine Learning. CoRR abs/2405.08801 (2024) - [i6]Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia:
Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era. CoRR abs/2408.09538 (2024) - 2023
- [j1]El Amine Cherrat
, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Chun-Fu Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia:
Quantum Deep Hedging. Quantum 7: 1191 (2023) - [i5]El Amine Cherrat, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Chun-Fu Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia:
Quantum Deep Hedging. CoRR abs/2303.16585 (2023) - [i4]Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, Dylan Herman, Changhao Li, Yue Sun, Marco Pistoia:
Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Portfolio Optimization. CoRR abs/2305.03857 (2023) - [i3]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:
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. CoRR abs/2308.02342 (2023) - 2022
- [i2]Pradeep Niroula, Ruslan Shaydulin, Romina Yalovetzky, Pierre Minssen, Dylan Herman, Shaohan Hu, Marco Pistoia:
Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer. CoRR abs/2206.06290 (2022) - 2021
- [c1]Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur G. Rattew, Yue Sun, Romina Yalovetzky:
Quantum Machine Learning for Finance ICCAD Special Session Paper. ICCAD 2021: 1-9 - [i1]Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur G. Rattew, Yue Sun, Romina Yalovetzky:
Quantum Machine Learning for Finance. CoRR abs/2109.04298 (2021)
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