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Quantum Machine Learning Algorithms for Mobility Problems

Ruepp, Daniel (2025) Quantum Machine Learning Algorithms for Mobility Problems. Bachelor's, Universität Ulm.

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Item URL in elib:https://elib.dlr.de/218184/
Document Type:Thesis (Bachelor's)
Title:Quantum Machine Learning Algorithms for Mobility Problems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ruepp, DanielUniversität UlmUNSPECIFIEDUNSPECIFIED
DLR Supervisors:
ContributionDLR SupervisorInstitution or E-MailDLR Supervisor's ORCID iD
Thesis advisorWölk, Sabine EstherUNSPECIFIEDUNSPECIFIED
Thesis advisorSchindler, MarcelUNSPECIFIEDUNSPECIFIED
Date:2025
Open Access:No
Number of Pages:33
Status:Published
Keywords:reinforcement learning Grover search route planning
Institution:Universität Ulm
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Quantum Computing Initiative
DLR - Program:QC AW - Applications
DLR - Research theme (Project):QC - QCMobility
Location: Ulm
Institutes and Institutions:Institute of Quantum Technologies > Quantum Information and Communication
Deposited By: Wölk, Sabine Esther
Deposited On:10 Nov 2025 18:51
Last Modified:10 Nov 2025 18:51

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