ArtA: Automating Design Space Exploration of Spin Qubit Architectures

TL;DR

This paper presents ArtA, an innovative tool that automates the exploration of quantum-dot spin-qubit architectures, significantly accelerating the design process and providing insights for high-performance quantum processor development.

Contribution

It introduces the first design space exploration method for spin-qubit architectures using an optimization framework to speed up exploration and identify optimal design features.

Findings

ArtA reduces exploration time by up to 99.1%

It identifies architectural features that optimize performance across quantum circuits

The approach provides meaningful design insights for quantum processor development

Abstract

In the fast-paced field of quantum computing, identifying the architectural characteristics that will enable quantum processors to achieve high performance across a diverse range of quantum algorithms continues to pose a significant challenge. Given the extensive and costly nature of experimentally testing different designs, this paper introduces the first Design Space Exploration (DSE) for quantum-dot spin-qubit architectures. Utilizing the upgraded SpinQ compilation framework, this study explores a substantial design space comprising 29,312 spin-qubit-based architectures and applies an innovative optimization tool, ArtA (Artificial Architect), to speed up the design space traversal. ArtA can leverage 17 optimization configurations, significantly reducing exploration times by up to 99.1% compared to a traditional brute-force approach while maintaining the same result quality. After a comprehensive evaluation of best-matching optimization configurations per quantum circuit, ArtA suggests specific as well as universal architectural features that provide optimal performance across the examined circuits. Our work demonstrates that combining DSE methodologies with optimization algorithms can be effectively used to generate meaningful design insights for quantum processor development.