Toolchain for Faster Iterations in Quantum Software Development

TL;DR

This paper presents a toolchain that leverages remote computational resources to significantly accelerate quantum circuit development, enabling faster iterations and handling larger qubit systems in quantum software development.

Contribution

It introduces a novel workflow that integrates remote hardware and simulators into quantum software development, improving efficiency and scalability.

Findings

Achieved up to 5x faster circuit execution runtime.

Supported quantum circuits with 21 to 29 qubits.

Enabled seamless integration with Jupyter notebooks.

Abstract

Quantum computing proposes a revolutionary paradigm that can radically transform numerous scientific and industrial application domains. To realize this promise, these new capabilities need software solutions that are able to effectively harness its power. However, developers may face significant challenges when developing and executing quantum software due to the limited availability of quantum computer hardware, high computational demands of simulating quantum computers on classical systems, and complicated technology stack to enable currently available accelerators into development environments. These limitations make it difficult for the developer to create an efficient workflow for quantum software development. In this paper, we investigate the potential of using remote computational capabilities in an efficient manner to improve the workflow of quantum software developers, by lowering the barrier of moving between local execution and computationally more efficient remote hardware and offering speedup in execution with simulator surroundings. The goal is to allow the development of more complex circuits and to support an iterative software development approach. In our experiment, with the solution presented in this paper, we have obtained up to 5 times faster circuit execution runtime, and enabled qubit ranges from 21 to 29 qubits with a simple plug-and-play kernel for the Jupyter notebook.