Quantum Data Science and Management (QDSM 2023)

Workshop @ VLDB 2023

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International Workshop on
Quantum Data Science and Management (QDSM 2023)
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The International Workshop on Quantum Data Science and Management (QDSM 2023)

In conjunction with VLDB 2023

Important Message on Covid-19:
We will operate the workshop as a hybrid event, such that presenters and participants can choose to participate in-person in Vancouver (Canada) or remotely.

Sponsor and Stipend

Quantum Brilliance is a proud sponsor of QDSM 2023. Quantum Brilliance develops room-temperature diamond quantum accelerators for massively parallelized, edge and ubiquitous quantum computing.

Our industry sponsor Quantum Brilliance offers to supplement the registration fees for young researchers, as well as researchers from underrepresented counties and communities. To apply for a stipend, please contact the stipend chair via to gsingh.ece@mnit.ac.in and groppe@ifis.uni-luebeck.de in CC with the subject line "QDSM@VLDB Quantum Brilliance stipend", your full name and institution, and a very short motivation.

Important Message on Covid-19

We will operate the workshop as a hybrid event, such that presenters and participants can choose to participate in-person in Vancouver (Canada) or remotely.

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 5, 2023
Notification: June 30, 2023
Workshop: September 1, 2023

Diversity Considerations of the Program Committee

We have currently recruited 20 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 (5%). 3 of the PC members and chairs are women (15%).

Legend

Program committee members and chairs: 1  10

Program Committee Chairs

Publicity Chairs

Proceedings Chairs

Stipend Chairs

Program Committee

  • Umut Çalikyilmaz, University of Lübeck, Germany
  • Prasanna Date, Oak Ridge National Laboratory, USA
  • Maja Franz, OTH Regensburg, Germany
  • Srinjoy Ganguly, Woxsen University, India
  • Jan Lellmann, University of Lübeck, Germany
  • Natacha Kuete Meli, University of Lübeck, Germany
  • Nitin Nayak, University of Lübeck, Germany
  • Jukka Nurminen, University of Helsinki, Finland
  • Stefan Prestel, Quantum Brilliance GmbH, Germany
  • IIya Safro, University of Delaware, USA
  • Manuel Schönberger, OTH Regensburg, Germany
  • Ghanshyam Singh, Malaviya National Institute of Technology Jaipur (MNIT), India
  • Valter Uotila, University of Helsinki, Finland
  • Sanjay Vishwakarma, IBM Quantum, IBM Research - Almaden, USA
  • Tobias Winker, University of Lübeck, Germany
  • 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.
  • Gongsheng Yuan, Jiaheng Lu, Yuxing Chen, Sai Wu, Chang Yao, Zhengtong Yan, Tuodu Li, Gang Chen:
    Quantum computing for databases: A short survey and vision
    Publication
  • Vijay Adoni, Sajad Fathi Hafshejani, Daya Gaur:
    Empirical evaluation of a quantum accelerated approach for the central path method in linear programming
    Publication
  • Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer:
    Quantum optimisation of general join trees
    Publication
  • Yozef Tjandra, Hendrik Santoso Sugiarto:
    An evolutionary algorithm design for pauli-based quantum kernel classification
    Publication
  • Le Gruenwald, Tobias Winker, Umut Çalıkyılmaz, Jinghua Groppe, Sven Groppe:
    Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications
    Publication

Program

Sponsor Talk and Paper Presentations I

Time Type Description
10:30 am: welcome Session Chair:
Welcome
Editorial
10:30 am: keynote Stefan Prestel (Quantum Brilliance):
Sponsor Talk Quantum Brilliance: Room-temperature quantum accelerators for database science
Bio: S. Prestel obtained his Diploma in Theoretical Physics from Karlsruhe Institute of Technology (Germany) in 2009, his PhD in Theoretical Physics from Lund University (Sweden) in 2013, and his Docent (Associate Professorship) from Lund University in 2022. He has held research positions at CERN (Switzerland, 2010-2011), at DESY Hamburg (Germany, 2013-2014), Stanford University/SLAC National Accelerator Laboratory (US, 2014-2016), and staff positions at Fermilab (US, 2016-2018), Lund University (2018-2022) and Quantum Brilliance GmbH (2022-present). His scientific works have been cited more than 10K times. He is currently leading the Software Applications Team at Quantum Brilliance, focusing on the development of quantum algorithms for room-temperature diamond quantum computers.
Abstract: Quantum computing holds the promise of ameliorating classical computing bottlenecks with the help of quantum-mechanical superposition and entanglement effects. However, to reach this lofty goal, significant challenges need to be overcome both at the quantum hardware and quantum software development level. Room-temperature quantum computer hardware built on nitrogen-vacancy centers in diamond allow to forego long-latency issues plaguing cloud-deployment models for quantum computer access, as quantum computing accelerator cards can be straight-forwardly integrated into data center racks, i.e. close to the data(bases). Quantum Brilliance is developing hardware and software for massive parallelization of quantum accelerators, e.g. by integrating quantum algorithms for database optimization into classical workflows, with the aim of building a seamless execution on a heterogeneous classical/quantum hardware.
SlidesVideo
11:00 pm: paper Gongsheng Yuan, Jiaheng Lu, Yuxing Chen, Sai Wu, Chang Yao, Zhengtong Yan, Tuodu Li, Gang Chen:
Quantum computing for databases: A short survey and vision
Publication
11:20 am: paper Vijay Adoni, Sajad Fathi Hafshejani, Daya Gaur:
Empirical evaluation of a quantum accelerated approach for the central path method in linear programming
Publication
11:40 am: paper Le Gruenwald, Tobias Winker, Umut Çalıkyılmaz, Jinghua Groppe, Sven Groppe:
Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications
Publication
12:00 pm: break Lunch Break

Keynote and Paper Presentations II

Time Type Description
1:30 pm: keynote Immanuel Trummer (Cornell University):
Playing Dice with the Universe: a Brief History of Quantum Computing and Potential Use Cases in Data Management
Bio: Immanuel Trummer is an assistant professor at Cornell University and heads the Cornell Database Group. His papers were selected for "Best of VLDB", "Best of SIGMOD", for the ACM SIGMOD Research Highlight Award, and for publication in CACM as CACM Research Highlight. His online lecture introducing students to database topics collected over a million views. He received the NSF CAREER Award and multiple Google Faculty Research Awards.
Abstract: Quantum computing has turned from a purely theoretical concept into a technology for which early-stage hardware is available by a multitude of manufacturers. While current devices are still limited, the technology has steadily improved over the past years and at a rapid pace. This makes it interesting to project future use cases in data management.

In this talk, I will first give a short introduction to quantum computing and recent hardware in this space. After that, I will discuss potential use cases in data analysis and related tasks such as database tuning and optimization. I will conclude with an outlook of advances in data management that future quantum hardware could unlock.

2:20 pm: paper Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer:
Quantum optimisation of general join trees
Publication
2:40 pm: paper Yozef Tjandra, Hendrik Santoso Sugiarto:
An evolutionary algorithm design for pauli-based quantum kernel classification
Publication
3:00 pm: break Break

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):