Quantum Data Science and Management (QDSM 2024)

Workshop @ VLDB 2024

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International Workshop on
Quantum Data Science and Management (QDSM 2024)
Call for Papers: txtUTF-8 txtASCII pdf

The International Workshop on Quantum Data Science and Management (QDSM 2024)

In conjunction with VLDB 2024

Aims of the Workshop

The field of quantum computing has experienced remarkable progress after decades of research and development. Prototypes of quantum computers already exist and have been made available to users through cloud services (e.g., IBM Q experience, Google quantum AI, or Xanadu quantum cloud). While fault-tolerant and large-scale quantum computers are not available yet, the potential of this new technology is undeniable. Quantum algorithms have the proven ability to either outperform classical approaches for various tasks or are impossible to be efficiently simulated by classical means under reasonable complexity-theoretic assumptions. Even imperfect current-day technology is speculated to exhibit computational advantages over classical systems.

For most database researchers, quantum computing and quantum machine learning are still new research fields. The goal of this workshop is to bring together academic researchers and industry practitioners from multiple disciplines (e.g., database, AI, software, physics, etc.) to discuss the challenges, solutions, and applications of quantum computing and quantum machine learning that have the potential to advance the state of the art of data science and data management technologies. Our purpose is to foster the interaction between database researchers and more traditional quantum disciplines, as well as industrial users. The workshop serves as a forum for the growing quantum computing community to connect with database researchers to discuss the wider questions and applications of how quantum resources can benefit data science and data management tasks, and how quantum software can support this endeavor.

We believe that many unsolved and interesting issues can be found at boundaries and intersections between different fields and that there are insufficient venues to publish such cross-disciplinary results. We also believe that an important aspect of future quantum computing will concern issues of handling data in one way or another. This workshop will serve as a venue not only to discuss early, experimental results in research, but also to feature a demonstration part with the intention of providing attendees with first-hand experience in using novel quantum computing techniques that go beyond the simple examples offered by various web services. This will give researchers a realistic intuition about quantum computing for data science and data management tasks.

Categories of Papers

The workshop solicits papers of the following categories:

  • Research Papers propose new approaches, theories or techniques related to quantum data science and management including new data structures, protocols and algorithms. They should make substantial theoretical and empirical contributions to the research field.

  • System Papers describe new systems and whole frameworks for enabling quantum data science and management.

  • Experiments and Analysis Papers focus on the experimental evaluation of existing approaches including data structures and algorithms for quantum data science and management and bring new insights through the analysis of these experiments. Results of Experiments and Analysis Papers can be, for example, showing the benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey.

  • Application Papers report practical experiences on applications of quantum data science and management. Application Papers might describe how to apply quantum technologies to specific application domains.

  • Vision Papers identify emerging new or future research issues and directions and describe new research visions for quantum data science and management. The new visions will potentially have significant impacts on society.

  • Demo Papers deal with innovative approaches and applications for quantum data science and management. These papers describe a showcase of the proposed approach/application. We are especially interested in demonstrations having a WOW-effect.

The length of papers must be within 5 pages to 10 pages. Accepted papers will be published in the CEUR Workshop proceedings (CEUR-WS.org) and presented as oral presentations.

Topics of Interest

We are interested in all issues concerning quantum data science and management such as the following:

  • Quantum Computing for problems related to Data Science and Management

  • Quantum Data Science

    • Quantum Computing for Data Science
    • Data Science for Quantum Computing

  • Quantum Data Management

    • Quantum Computing for Data Management
    • Data Management for Quantum Computing

  • Quantum Machine Learning

    • Quantum Machine Learning Enabled Databases
    • Quantum Data Management to Support Machine Learning
    • New approaches to Quantum Machine Learning

  • Applications for

    • Quantum Data Science
    • Quantum Data Management
    • Quantum Machine Learning

  • Quantum Algorithms with applications in Quantum Data Science and Management

  • Quantum Software Tools for Quantum Data Science and Management

    • Frameworks and APIs
    • Programming Languages
    • Optimizers of Quantum Programs and Circuits

  • Quantum Cryptography and Security for Data Science and Management

Important Dates

Time Schedule
Submission (extended): June 3, 2024
Notification: June 30, 2024
Workshop: August 30, 2024

Diversity Considerations of the Program Committee

We have currently recruited 16 PC members and chairs listed below who are experts in the topics of interest of our workshop. The current PC members and chairs are selected from 4 nations all over the world as shown also by the map below. While most PC members are from academia, we have 1 experts also from industry (6%). 3 of the PC members and chairs are women (19%).

Legend

Program committee members and chairs: 1  7

Program Committee Chairs

Publicity Chairs

Proceedings Chairs

Program Committee

  • Umut Çalikyilmaz, University of Lübeck, Germany
  • Maja Franz, OTH Regensburg, Germany
  • Srinjoy Ganguly, Woxsen University, India
  • Natacha Kuete Meli, University of Lübeck, Germany
  • Nitin Nayak, University of Lübeck, Germany
  • Jukka K. Nurminen, University of Helsinki, Finland
  • IIya Safro, University of Delaware, USA
  • Manuel Schönberger, OTH Regensburg, Germany
  • Ghanshyam Singh, Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India
  • Valter Uotila, University of Helsinki, Finland
  • Sanjay Vishwakarma, IBM Quantum, IBM Research - Almaden, USA
  • Zhengtong Yan, University of Helsinki, Finland

Evaluation of Papers

To verify the originality of submissions, we will use Plagiarism Detection Tools to check the content of the submitted manuscripts against previous publications.

Papers will be evaluated according to the following aspects:

  • Relevance to the Workshop
  • Novelty and practical impact
  • Technical soundness
  • Appropriateness and adequacy of:
    • Literature review
    • Background discussion
    • Analysis of issues
  • Presentation, including:
    • Overall organization and structure
    • Correctness of English language
    • Readability

Accepted Papers

The proceedings are available here.

Program

Welcome Session and Keynote I

Time Type Description
9:00 am: welcome Session Chair:
Welcome
Editorial
9:05 am: keynote Kathrin Spendier (XPRIZE Foundation):
Advancing Quantum Algorithms for Real-World Impact
Bio: Kathrin Spendier is the Technical Prize Director for XPRIZE Quantum Applications. Prior to XPRIZE, she was the Quantum Computing Technology Evangelist at Quantinuum and spent over a decade at the University of Colorado, Colorado Springs, as an Associate Professor of Physics and Director of Research Programs. She holds a Ph.D. in Physics from the University of New Mexico. Kathrin focuses on advancing the quantum technology ecosystem by enabling researchers to deliver breakthrough quantum solutions.
Abstract: Quantum computing is progressing steadily, but current hardware and algorithms are not yet capable of solving societal problems beyond classical computers' reach. Few companies and researchers are focusing on translating quantum algorithms into practical applications because much of the algorithm development is often abstract and not directly relevant to real-world problems. Key areas where quantum computing could excel include molecular and materials simulation, solving classical differential equations, quantum machine learning, and optimization. These applications promise significant impacts, such as new medicines, efficient catalysts, and renewable energy solutions. This talk explores current research efforts, potential applications, and strategies to bridge the gap between theory and practice in quantum computing. Additionally, we will explore the XPRIZE Quantum Applications Competition, which incentivizes the development of quantum solutions that address global challenges by encouraging the creation of quantum applications with clear quantum advantage for real-world impact.
10:30 pm: break Coffee Break

Paper Presentations I

Time Type Description
11:00 pm: paper Lauri Vuorenkoski, Valter Uotila:
Graphs on Qubits: Demonstrating Three Graph Algorithms on Quantum Computers
Publication
11:30 pm: paper Tuodu Li, Gongsheng Yuan, Chang Yao, Meng Shi, Ziyue Wang, Ling Qian, Jiaheng Lu:
Quantum Storage Design for Tables in RDBMS
Publication
12:00 pm: paper Tim Littau, Ziyu Li, Rihan Hai:
Quantum Data Structures for Enhanced Database Performance
Publication
12:30 pm: break Lunch Break

Keynote II

Time Type Description
2:00 pm: keynote Rihan Hai (TU Delft):
Quantum Data Management in the NISQ Era
Bio: Rihan Hai is an assistant professor at Delft University of Technology (TU Delft), Netherlands. Before joining TU Delft, she received her Ph.D. degree from RWTH Aachen University, Germany. She received her master's and bachelor's degrees from Tsinghua University, China. Her research focuses on data lakes, data privacy, and quantum data management.
Abstract: Quantum computing has emerged as a promising tool for transforming the future paradigm of data management. Classical problems in database domains, including query optimization, data integration, and transaction management, have recently been addressed using techniques from quantum computing. This talk will provide a comprehensive overview of current research efforts leveraging quantum technologies to address these classical database issues. We will also explore a less studied but equally crucial direction: data management for quantum computing. We are currently in the Noisy Intermediate-Scale Quantum (NISQ) era, characterized by qubits that, while promising, are fragile and still limited in scale. We will discuss the data management and engineering challenges posed by these near-term quantum processors and innovative strategies that can facilitate the integration of quantum computing into existing data management frameworks. By bridging the gap between classical database problems and the emerging needs of quantum computing, this talk aims to shed light on the synergies and potential advancements at this interdisciplinary frontier.
3:30 pm: break Coffee Break

Paper Presentations II

Time Type Description
4:00 pm: paper Martin Vogrin, Rok Vogrin, Sven Groppe, Jinghua Groppe:
Supervised Learning on Relational Databases with Quantum Graph Neural Networks
Publication
4:30 pm: paper Manish Kesarwani, Jayant Haritsa:
Is Quantum-Based SQL Query Execution Viable?
Publication
5:00 pm: break End of Workshop

Manuscript Preparation

Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum.

Manuscripts should be submitted electronically as PDF files using this webpage and be formatted using the camera-ready templates in the CEUR Workshop proceedings (CEUR-WS.org) double-column format. Papers cannot exceed 10 pages in length.

Accepted papers will be published online in the CEUR Workshop Proceedings (CEUR-WS.org), which provides free open-access proceedings for computer science workshops. CEUR papers are indexed in Scopus, DBLP, SJR and other bibliographic databases.

Contact Program Chairs

Please contact us for any further information:

Editions

Please use the following links for further information on the edition of the given year of the International Workshop on Quantum Data Science and Management (QDSM):