From the 1 of 6 linked papers with an AI index.
6 papers
Faster Algorithms for Multimarginal Optimal Transport
Brandon Augustino, Yue Sun, Atithi Acharya +4
We study algorithms for approximating the multimarginal optimal transport (MOT) distance, a generalization of the classic optimal transport distance, between discrete probabili…
Quantum-Informed Portfolio Selection: An End-to-End Pipeline Validated on Trapped-Ion Hardware with Real Market Data
Romina Yalovetzky, Martin J. A. Schuetz, Zichang He +11
The paper presents a hybrid quantum‑classical pipeline (qReduMIS) that uses QAOA measurements to guide reductions for solving portfolio diversification formulated as a Maximum Inde…
qReduMIS: A Quantum-Informed Reduction Algorithm for the Maximum Independent Set Problem
Martin J. A. Schuetz, Romina Yalovetzky, Ruben S. Andrist +8
We propose and implement a quantum-informed reduction algorithm for the maximum independent set problem that integrates classical kernelization techniques with information extracte…
Dean-Kawasaki Equation with Biot-Savart and Keller-Segel Interactions: Existence and Large Deviations
Xiaohao Ji, Yue Sun, Zhengyan Wu
We establish the existence of probabilistically weak, renormalized kinetic solutions to the Dean--Kawasaki equation with singular interaction kernels, including those of Biot--Sava…
Quantum Speedups for Derivative Pricing Beyond Black-Scholes
Dylan Herman, Yue Sun, Jin-Peng Liu +5
This paper explores advancements in quantum algorithms for derivative pricing of exotics, a computational pipeline of fundamental importance in quantitative finance. For such cases…
Quantum Compilation Toolkit for Rydberg Atom Arrays with Implications for Problem Hardness and Quantum Speedups
Martin J. A. Schuetz, Ruben S. Andrist, Grant Salton +7
We propose and implement a comprehensive quantum compilation toolkit for solving the maximum independent set (MIS) problem on quantum hardware based on Rydberg atom arrays. Our end…