🤖 AI Summary
Quantum circuit simulation typically relies on specialized high-performance computing resources, limiting its applicability in education, algorithm development, and cross-platform verification. This paper introduces the first quantum circuit simulation framework built entirely atop general-purpose relational database management systems (RDBMSs). It compiles quantum gate operations into standard SQL queries, leveraging native relational algebra to express tensor evolution of quantum states, and employs query optimization techniques to achieve efficient simulation on mainstream RDBMSs. The framework provides dual interfaces—graphical and programmatic—enabling seamless integration of quantum computation with classical data workflows. Experiments demonstrate reproducible simulation of medium-scale circuits (≤12 qubits), deliver a standardized benchmarking infrastructure, and substantially lower the barrier to quantum algorithm validation. Its practical utility is evidenced in quantum education, rapid prototyping, and performance comparison across heterogeneous computing platforms.
📝 Abstract
Quantum circuit simulation is crucial for quantum computing such as validating quantum algorithms. We present Qymera, a system that repurposes relational database management systems (RDBMSs) for simulation by translating circuits into SQL queries, allowing quantum operations to run natively within an RDBMS. Qymera supports a wide range of quantum circuits, offering a graphical circuit builder and code-based interfaces to input circuits. With a benchmarking framework, Qymera facilitates comparison of RDBMS-based simulation against state-of-the-art simulation methods. Our demonstration showcases Qymera's end-to-end SQL-based execution, seamless integration with classical workflows, and its utility for development, benchmarking, and education in quantum computing and data management.