Qaesim

Qaesim is a modular software framework designed to support the development, execution, and analysis of simulations that integrate classical computation with quantum-aware methods. It provides a common workflow layer, data models, and tooling to orchestrate hybrid simulations, manage provenance, and visualize results across large-scale computational environments. The design emphasizes portability, reproducibility, and extensibility through a plug-in architecture and language bindings for Python and C++.

Originating in collaborations between the Institute for Computational Physics and the Open Simulation Alliance, Qaesim began as a research prototype in the mid-2010s and reached its first public release in 2018. Subsequent releases expanded backend support to include quantum circuit simulators and hardware backends, along with enhanced workflow management and scalability features.

Its core is a modular core that coordinates simulation tasks via a scheduler, a data model that tracks configurations and results, and a plugin manager that enables backend providers, numerical solvers, and visualization tools. The framework includes an interface layer for quantum simulators and hybrid algorithms, and can dispatch tasks across local machines, HPC clusters, and cloud resources. Reproducibility is strengthened through automatic capture of seeds, environment details, and versioned configurations.

Qaesim is used in domains such as quantum chemistry, condensed-matter physics, materials science, and optimization research. It serves as a platform for prototyping quantum-inspired algorithms, benchmarking simulators, and teaching concepts related to quantum-classical hybrid computation.

As an open-source project, Qaesim relies on community contributions and documentation. Adoption has grown in academic labs and some industrial partnerships, while users note a learning curve and ongoing challenges related to the maturity of quantum backends and interoperation with diverse HPC platforms.