Bachelor Thesis FZJ-2025-01361

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Comparing different formulations to solve the Traveling Salesman Problem on a Quantum Computer

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2023

42 pp. () [10.34734/FZJ-2025-01361] = Bachelorarbeit, Rheinisch-Westfälische Technische Hochschule Aachen, 2023

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Abstract: Quantum Computing is an emerging technology. This means that many of the details of thisfield are still unexplored. For example, when trying to solve a problem on a classical computer,there often exists a well-established, preferable method of doing it. This is often not the casewhen using a quantum computer. This Bachelor’s Thesis will focus on the Traveling SalesmanProblem, a famous optimization problem with a lot of real applications, ranging from efficientpackage delivery to genome map assembly and guiding industrial machines. Different ways ofencoding and solving the problem on a quantum computer will be compared. This is done in hopeof determining whether a preferable encoding exists for the TSP. The result could also shed somelight on the encoding of other optimization problems.


Note: Bachelorarbeit, Rheinisch-Westfälische Technische Hochschule Aachen, 2023

Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2024
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Open Access

 Datensatz erzeugt am 2025-01-29, letzte Änderung am 2025-02-07


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