DBScholar

Back to papers

Solving Hard Variants of Database Schema Matching on Quantum Computers

Summary: End-to-end hybrid quantum–classical solution for NP-hard variants of database schema matching, partitioning matching instances into QPU-solvable subproblems coordinated by classical CPUs. Demo highlights QPU/CPU handover trade-offs, decomposition strategies and current QPU scale/noise limits. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
hd65ab7a27cd6ac57
Venue
VLDB
Year
2023
Pagerank
5.3521339e-05
Overall Rank
8,339 | 43.94%
DOI
10.14778/3611540.3611603

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fritsch_vldb23,
        title = {{Solving Hard Variants of Database Schema Matching on Quantum Computers}},
        author = {Fritsch, Kristin and Scherzinger, Stefanie},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3990--3993},
        doi = {10.14778/3611540.3611603},
        url = {https://doi.org/10.14778/3611540.3611603},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,223 A Quantum-Leap into Schema Matching: Beyond 1-to-1 Matchings 2025 PODS 5.2056825e-05
11,030 How Can Quantum Computing and Databases Meet "in Practice"? From Algorithms to Systems 2026 VLDB 4.9793485e-05
11,243 Quantum Data Management in the NISQ Era 2025 VLDB 4.9793485e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers