Dylan Herman

20 papers A* 1A 2Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantum Speedups for Derivative Pricing Beyond Black-Scholes.
CoRR
Dylan Herman, Yue Sun, Jin-Peng Liu, Marco Pistoia, Charlie C. L. Wang, Rob Otter, Shouvanik Chakrabarti, Aram W. Harrow
2026 J jnl
Quantum Speedups for Group Relaxations of Integer Linear Programs.
CoRR
Brandon Augustino, Dylan Herman, Guneykan Ozgul, Jacob Watkins, Atithi Acharya, Enrico Fontana, Junhyung Lyle Kim, Shouvanik Chakrabarti
2025 J jnl
A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems.
CoRR
Tyler Chen, Junhyung Lyle Kim, Archan Ray, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar
2025 J jnl
Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm.
CoRR
Anuj Apte, Shree Hari Sureshbabu, Ruslan Shaydulin, Sami Boulebnane, Zichang He, Dylan Herman, James Sud, Marco Pistoia
2025 J jnl
Mechanisms for Quantum Advantage in Global Optimization of Nonconvex Functions.
CoRR
Dylan Herman, Guneykan Ozgul, Anuj Apte, Junhyung Lyle Kim, Anupam Prakash, Jiayu Shen, Shouvanik Chakrabarti
2025 J jnl
On Speedups for Convex Optimization via Quantum Dynamics.
CoRR
Shouvanik Chakrabarti, Dylan Herman, Jacob Watkins, Enrico Fontana, Brandon Augustino, Junhyung Lyle Kim, Marco Pistoia
2025 J jnl
Provably faster randomized and quantum algorithms for k-means clustering via uniform sampling.
CoRR
Tyler Chen, Archan Ray, Akshay Seshadri, Dylan Herman, Bao Bach, Pranav Deshpande, Abhishek Som, Niraj Kumar, Marco Pistoia
2024 J jnl
Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization.
CoRR
Shouvanik Chakrabarti, Dylan Herman, Guneykan Ozgul, Shuchen Zhu, Brandon Augustino, Tianyi Hao, Zichang He, Ruslan Shaydulin, Marco Pistoia
2024 A* conf
Invited: Challenges and Opportunities of Quantum Optimization in Finance.
DAC
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
2024 A conf
Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era.
ICCAD
Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia
2024 J jnl
Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era.
CoRR
Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia
2024 J jnl
Parameter Setting in Quantum Approximate Optimization of Weighted Problems.
Quantum
Shree Hari Sureshbabu, Dylan Herman, Ruslan Shaydulin, Joao Basso, Shouvanik Chakrabarti, Yue Sun, Marco Pistoia
2024 J jnl
Prospects of Privacy Advantage in Quantum Machine Learning.
CoRR
Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Changhao Li, Marco Pistoia
2023 J jnl
Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Portfolio Optimization.
CoRR
Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, Dylan Herman, Changhao Li, Yue Sun, Marco Pistoia
2023 J jnl
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem.
CoRR
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
2023 J jnl
Quantum Deep Hedging.
CoRR
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
2023 J jnl
Quantum Deep Hedging.
Quantum
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
2022 J jnl
Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer.
CoRR
Pradeep Niroula, Ruslan Shaydulin, Romina Yalovetzky, Pierre Minssen, Dylan Herman, Shaohan Hu, Marco Pistoia
2021 A conf
Quantum Machine Learning for Finance ICCAD Special Session Paper.
ICCAD
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
2021 J jnl
Quantum Machine Learning for Finance.
CoRR
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