InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation

Summary: InferQ turns quantum-circuit simulation into a reproducible RDBMS benchmark: it generates compositional circuits as SQL workloads and provides features for studying optimization and physical design. Across four engines, SQL can reduce peak memory versus Qiskit Aer on over half the circuits; lightweight models predict the better simulator with up to 95.6% runtime accuracy. (summarized by gpt-6-luna on Oct 22 2026)

Paper ID: h67f8f5ffd6e5838d
Venue: SIGMOD
Year: 2027
Pagerank: 4.9605343e-05
Overall Rank: 10,401 | 30.29%
DOI: 10.1145/3837116
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Andrei Ilinescu (Delft University of Technology)
2. Aadi Patwardhan (Delft University of Technology)
3. Rihan Hai (Delft University of Technology)

BibTeX Citation

@inproceedings{ilinescu_sigmod27,
        title = {{InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation}},
        author = {Ilinescu, Andrei and Patwardhan, Aadi and Hai, Rihan},
        series = {{SIGMOD} '27},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3837116},
        url = {https://dl.acm.org/doi/10.1145/3837116},
        year = {2027}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
15	How Good Are Query Optimizers, Really?	2016	VLDB	0.00061463175
1,200	Towards Linear Algebra over Normalized Data	2017	VLDB	0.00011524945
3,929	Efficient and Portable Einstein Summation in SQL	2023	SIGMOD	6.9013754e-05
4,505	SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra	2020	VLDB	6.5561966e-05
4,641	How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks	2025	SIGMOD	6.4739208e-05
4,762	Tensor Relational Algebra for Distributed Machine Learning System Design	2021	VLDB	6.4190861e-05
5,505	Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra	2021	SIGMOD	6.0884328e-05
6,158	Rethinking Learned Cost Models: Why Start from Scratch?	2023	SIGMOD	5.8518237e-05
9,261	Qymera: Simulating Quantum Circuits using RDBMS	2025	SIGMOD	5.1860131e-05
10,674	TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware	2026	SIGMOD	4.9605343e-05
11,307	Quantum Data Management in the NISQ Era	2025	VLDB	4.9605343e-05

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