Maestro
A unified interface for quantum circuit simulation. Write your circuit once — Maestro picks the best backend and runs it on CPU, GPU, or distributed HPC.
Features
- One API, many backends — compile from Qiskit / QASM to any supported simulator
- Automatic backend selection — a prediction engine analyzes your circuit and routes it to the fastest backend
- CPU simulation — statevector, MPS, MPO, Pauli propagation, path integral, Clifford/stabilizer, extended stabilizer, density matrix
- GPU acceleration — statevector (cuStateVec), MPS (custom CUDA and cuTensorNet), MPO (cuTensorNet, cuBlas and custrom CUDA) tensor network (cuTensorNet), Pauli propagation (cuPauliProp), density matrix (cuDensityMatrix)
- Distributed simulation — p-block composite mode for distributed quantum computing
- Expectation values — direct observable estimation (Pauli strings) for VQA workflows
- Performance optimizations — automatic multi-threading, multi-processing, and optimized sampling
Quick Start
pip install qoro-maestro # Linux, macOS & Windows
Or build from source:
chmod +x build.sh
./build.sh
For detailed build instructions, see INSTALL.md.
How It Works
Qiskit / QASM circuit
↓
Maestro Intermediate Representation
↓
Feature extraction → Prediction engine → Backend selection
↓
Execution (CPU / GPU / Distributed)
- Ingest — accepts circuits from Qiskit or QASM
- Convert — compiles to Maestro's intermediate representation
- Analyze — extracts features (gate density, entanglement, locality)
- Route — prediction engine estimates runtimes and selects the fastest backend
- Execute — runs on the chosen backend with automatic performance tuning
Backends
| Type | Backends |
|---|---|
| CPU | Statevector (Aer, QCSim), MPS, Pauli propagation, Clifford/stabilizer |
| GPU | Statevector (cuStateVec), MPS (CUDA), tensor network, Pauli propagation |
| Distributed | p-block composite simulation |
Each backend is accessed through a C++ adapter that maps Maestro's IR to the simulator's native API.
Documentation
| Resource | Link |
|---|---|
| Installation | INSTALL.md |
| Tutorial & API | TUTORIAL.md |
| Python examples | maestro-examples |
To generate API docs with Doxygen:
cd build
cmake ..
make doc
# Opens at docs/html/index.html
Citation
@article{bertomeu2025maestro,
title={Maestro: Intelligent Execution for Quantum Circuit Simulation},
author={Bertomeu, Oriol and Ghayas, Hamzah and Roman, Adrian and DiAdamo, Stephen},
organization={Qoro Quantum},
year={2025}
}
License
GPL-3.0 — see LICENSE or https://www.gnu.org/licenses/gpl-3.0.en.html.
Distributed GPU statevectors (local multi-GPU and MPI) are documented in docs/distributed_gpu.md.
1 maintainer
Metadata
1 maintainer
Release files for qoro-maestro 0.3.2
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