Maestro Core Goes Open Source: Streamlining Quantum Simulation for HPC

Maestro Core Goes Open Source: Streamlining Quantum Simulation for HPC

Qoro has released Maestro Core as open-source software, offering a single, cluster-ready interface for a fragmented quantum simulation landscape. For HPC operators, researchers, and dev teams, Maestro promises a practical path to bring quantum workloads into existing infrastructures while keeping operations maintainable and vendor neutral.

Maestro Open-Source: Bringing Order to Quantum Simulation in HPC

HPC centers face simulator sprawl: multiple simulators with conflicting dependencies, ad hoc wrappers, and unclear operational practices. Maestro Core addresses this by acting as an abstraction layer that standardizes how quantum jobs are submitted, scheduled, and run across different back-end engines. It supports state-vector and matrix product state engines and can target CPUs and GPUs without forcing site teams to rework their stack.

A Unified Approach to Quantum-Classical Workflows

Key operational features include:

  • Automatic selection of simulation engines based on circuit shape and resource availability.
  • Support for multithreading and multiprocessing to scale across nodes and accelerators.
  • Integration with SLURM so quantum jobs look like any other HPC workload and can follow existing policies for scheduling and accounting.
  • An API and CLI that let developers embed Maestro into CI pipelines and hybrid workflow orchestrations.

The National Physical Laboratory has validated Maestro in hybrid quantum-classical scenarios, providing independent assurance that workflows behave predictably under realistic conditions.

Preparing HPC for the Quantum Future

Open-sourcing Maestro Core gives centers a maintainable, vendor-neutral option to standardize quantum simulation today while remaining ready for future quantum accelerators. For IT leaders this means lower maintenance overhead, clearer upgrade paths, and a single interface to teach users and automate operations.

Next steps for HPC teams: review the Maestro repository, run pilot workloads on spare partitions, integrate with SLURM job templates, and feed back fixes to the community. Maestro’s practical focus makes it a solid choice for sites that want to treat quantum simulation as a first class HPC service.