activity
20212026
most citedEvidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem

119 citations · 375 across the 15 of their papers we have counts for

collaborators

18 papers

quant-ph2026

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

Portfolio diversification - a cornerstone of modern investment management - can be formulated as a Maximum Independent Set (MIS) problem on asset correlation graphs. Solving this p…

cs.AI2026

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models

Mattia J. Villani, Pranav Deshpande, Akshay Seshadri +2

Large Language Models (LLMs) often generate factually incorrect outputs, commonly termed hallucinations, that undermine trust and limit deployment in high-stakes settings. Existing…

cs.LG2025

A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values

Tyler Chen, Akshay Seshadri, Mattia J. Villani +7

Shapley values have emerged as a critical tool for explaining which features impact the decisions made by machine learning models. However, computing exact Shapley values is diffic…

quant-ph2025

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…

quant-ph2025

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…

math.OC2024★ 6 cited

Decomposition Pipeline for Large-Scale Portfolio Optimization with Applications to Near-Term Quantum Computing

Atithi Acharya, Romina Yalovetzky, Pierre Minssen +10

Industrially relevant constrained optimization problems, such as portfolio optimization and portfolio rebalancing, are often intractable or difficult to solve exactly. In this work…