Quantum Executor: A Unified Interface for Quantum Computing

2025-07-10

AI Summary

Quantum software development faces challenges including strong backend coupling, poor cross-platform reusability, and inflexible experiment scheduling. To address these, this paper proposes a backend-agnostic quantum computing execution engine that decouples experimental design from low-level execution via a declarative interface and modular architecture, enabling asynchronous distributed task scheduling and customizable execution policies. We introduce a unified experiment management protocol and integrate multiple backend adapters to support coordinated scheduling and interoperability between quantum and classical resources. Evaluation demonstrates significant improvements in code portability and reusability: the engine enables seamless migration across heterogeneous platforms—including superconducting qubits, trapped-ion systems, and quantum simulators—in automated benchmarking and hybrid verification scenarios. This reduces development and deployment complexity, thereby advancing the engineering maturity of quantum software.

Technology Category

• Machine Learning: Quantum Machine Learning
• Application Domains: Software Engineering
• Search and Optimization: Sampling/Simulation-based Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

As quantum computing evolves from theoretical promise to practical deployment, the demand for robust, portable, and scalable tools for quantum software experimentation is growing. This paper introduces Quantum Executor, a backend-agnostic execution engine designed to orchestrate quantum experiments across heterogeneous platforms. Quantum Executor provides a declarative and modular interface that decouples experiment design from backend execution, enabling seamless interoperability and code reuse across diverse quantum and classical resources. Key features include support for asynchronous and distributed execution, customizable execution strategies and a unified API for managing quantum experiments. We illustrate its applicability through two life-like usage scenarios such as automated benchmarking and hybrid validation, discussing its capacity to streamline quantum development. We conclude by discussing current limitations and outlining a roadmap for future enhancements.

Problem

• Develop a backend-agnostic engine for quantum experiments
• Enable seamless interoperability across quantum and classical resources
• Streamline quantum development with unified API and execution strategies

Innovation

• Backend-agnostic quantum execution engine
• Declarative modular interface design
• Supports asynchronous distributed execution