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From the 1 of 7 linked papers with an AI index.

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20242026
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7 papers

quant-ph2026

Sparse Quantum Voxel Encoding for Readout-Efficient Molecular Geometry Reconstruction on NISQ Devices

Eros De Simone, Giuseppe Bifulco, Lorenza Di Mauro +2

The paper introduces a sparse voxel-based encoding of molecular geometries that allows reconstruction of a molecule’s structure from computational-basis measurements, reducing the…

math.OC2026

Hybrid Quantum-Classical Optimization for Multi-Objective Supply Chain Logistics

Raoul Heese, Timothée Leleu, Sam Reifenstein +2

A multi-objective logistics optimization problem from a real-world supply chain is formulated as a Quadratic Unconstrained Binary Optimization Problem (QUBO) that minimizes cost, e…

math.OC2025

Quantum Computing for Discrete Optimization: A Highlight of Three Technologies

Alexey Bochkarev, Raoul Heese, Sven Jäger +2

Quantum optimization has emerged as a promising frontier of quantum computing, providing novel numerical approaches to mathematical optimization problems. The main goal of this pap…

quant-ph2025

Quantum Optimization Benchmarking Library - The Intractable Decathlon

Thorsten Koch, David E. Bernal Neira, Ying Chen +24

Through recent progress in hardware development, quantum computers have advanced to the point where benchmarking of (heuristic) quantum algorithms at scale is within reach. Particu…

quant-ph2025

Quantum Adiabatic Generation of Human-Like Passwords

Sascha Mücke, Raoul Heese, Thore Gerlach +3

Generative Artificial Intelligence (GenAI) for Natural Language Processing (NLP) is the predominant AI technology to date. An important perspective for Quantum Computing (QC) is th…

quant-ph2025

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning

Raoul Heese, Thore Gerlach, Sascha Mücke +3

Methods of artificial intelligence (AI) and especially machine learning (ML) have been growing ever more complex, and at the same time have more and more impact on people's lives.…