Maestro: Intelligent Execution for Quantum Circuit Simulation

TL;DR

Maestro is a unified quantum circuit simulation platform that intelligently selects and optimizes simulation methods, significantly improving performance across diverse workloads and hardware configurations.

Contribution

It introduces a single API integrating multiple simulation paradigms with a predictive model for optimal backend selection and hardware-specific optimizations.

Findings

Outperforms individual simulators in benchmarks

Effective in high-performance and distributed computing environments

Enhances quantum algorithm research and hybrid workflows

Abstract

Quantum circuit simulation remains essential for developing and validating quantum algorithms, especially as current quantum hardware is limited in scale and quality. However, the growing diversity of simulation methods and software tools creates a high barrier to selecting the most suitable backend for a given circuit. We introduce Maestro, a unified interface for quantum circuit simulation that integrates multiple simulation paradigms - state vector, MPS, tensor network, stabilizer, GPU-accelerated, and p-block methods - under a single API. Maestro includes a predictive runtime model that automatically selects the optimal simulator based on circuit structure and available hardware, and applies backend-specific optimizations such as multiprocessing, GPU execution, and improved sampling. Benchmarks across heterogeneous workloads demonstrate that Maestro outperforms individual simulators in both single-circuit and large batched settings, particularly in high-performance computing environments. Maestro provides a scalable, extensible platform for quantum algorithm research, hybrid quantum-classical workflows, and emerging distributed quantum computing architectures.