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Quantum Technology and Optimization Problems

First International Workshop, QTOP 2019, Munich, Germany, March 18, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Sebastian Feld

    1. Ludwig-Maximilians-Universität München, Munich, Germany

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  2. Claudia Linnhoff-Popien

    1. Ludwig-Maximilians-Universität München, Munich, Germany

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11413)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: QTOP 2019.

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Table of contents (19 papers)

  1. Front Matter

    Pages I-VIII
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  2. Keynote

    1. Front Matter

      Pages 1-1
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    2. An Introduction to Quantum Computing and Its Application

      • Robert H. (Bo) Ewald
      Pages 3-8

  3. Analysis of Optimization Problems

    1. Front Matter

      Pages 9-9
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    2. Embedding Inequality Constraints for Quantum Annealing Optimization

      • Tomáš Vyskočil, Scott Pakin, Hristo N. Djidjev
      Pages 11-22

    3. Assessing Solution Quality of 3SAT on a Quantum Annealing Platform

      • Thomas Gabor, Sebastian Zielinski, Sebastian Feld, Christoph Roch, Christian Seidel, Florian Neukart et al.
      Pages 23-35

    4. Principles and Guidelines for Quantum Performance Analysis

      • Catherine C. McGeoch
      Pages 36-48

  4. Quantum Gate Algorithms

    1. Front Matter

      Pages 49-49
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    2. Nash Embedding and Equilibrium in Pure Quantum States

      • Faisal Shah Khan, Travis S. Humble
      Pages 51-62

    3. A Quantum Algorithm for Minimising the Effective Graph Resistance upon Edge Addition

      • Finn de Ridder, Niels Neumann, Thijs Veugen, Robert Kooij
      Pages 63-73

    4. Variational Quantum Factoring

      • Eric Anschuetz, Jonathan Olson, Alán Aspuru-Guzik, Yudong Cao
      Pages 74-85

    5. Function Maximization with Dynamic Quantum Search

      • Charles Moussa, Henri Calandra, Travis S. Humble
      Pages 86-95

  5. Applications of Quantum Annealing

    1. Front Matter

      Pages 97-97
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    2. Flight Gate Assignment with a Quantum Annealer

      • Tobias Stollenwerk, Elisabeth Lobe, Martin Jung
      Pages 99-110

    3. Solving Quantum Chemistry Problems with a D-Wave Quantum Annealer

      • Michael Streif, Florian Neukart, Martin Leib
      Pages 111-122

    4. Solving Large Maximum Clique Problems on a Quantum Annealer

      • Elijah Pelofske, Georg Hahn, Hristo Djidjev
      Pages 123-135

    5. Quantum Annealing Based Optimization of Robotic Movement in Manufacturing

      • Arpit Mehta, Murad Muradi, Selam Woldetsadick
      Pages 136-144

    6. Quantum Annealing of Vehicle Routing Problem with Time, State and Capacity

      • Hirotaka Irie, Goragot Wongpaisarnsin, Masayoshi Terabe, Akira Miki, Shinichirou Taguchi
      Pages 145-156

    7. Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning

      • Sheir Yarkoni, Hao Wang, Aske Plaat, Thomas Bäck
      Pages 157-168

  6. Foundations and Quantum Technologies

    1. Front Matter

      Pages 169-169
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  1. Quantum Technology and Optimization Problems

Keywords

About this book

This book constitutes the refereed proceedings of the First International Workshop on Quantum Technology and Optimization Problems, QTOP 2019, held in Munich, Germany, in March 2019.
The 18 full papers presented together with 1 keynote paper in this volume were carefully reviewed and selected from 21 submissions.  The papers are grouped in the following topical sections: analysis of optimization problems; quantum gate algorithms; applications of quantum annealing; and foundations and quantum technologies.

Editors and Affiliations

  • Ludwig-Maximilians-Universität München, Munich, Germany

    Sebastian Feld, Claudia Linnhoff-Popien

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