InferQ: A Database-Oriented Benchmark for Quantum Circuits Simulation 文章

ArXiv CS.AI2026-08-03PAPERen作者: Andrei Ilinescu, Aadi Patwardhan, Rihan Hai

详细信息

来源站点
ArXiv CS.AI
作者
Andrei Ilinescu, Aadi Patwardhan, Rihan Hai
文章类型
PAPER
语言
en
发布日期
2026-08-03

摘要

arXiv:2607.29134v1 Announce Type: cross Abstract: Recent work suggests that relational database management systems (RDBMSs) can execute quantum circuit simulation by compiling the simulation into SQL workloads (primarily join-and-aggregate tensor contractions). While early results are promising, they largely focus on a narrow set of highly structured circuits and offer limited support for systematic database research, such as query optimization, physical design, and engine-level evaluation across a broad range of circuits. We present InferQ, a database-oriented benchmark for quantum circuit simulation. InferQ generates general, compositional circuits by assembling subcircuits from a set of circuit templates, emits each simulation task as an RDBMS-ready SQL workload, and extracts circuit and query features (static, graph, SQL, and dynamic) for workload characterization.