Quantum Resource Management in the NISQ Era: Implications and Perspectives from Software Engineering

TL;DR

This paper examines how resource management in NISQ quantum devices impacts software engineering, emphasizing the importance of quantum resource estimation for developing scalable and reliable quantum software.

Contribution

It provides an analysis of resource roles in NISQ devices and advances the field of Quantum Resource Estimation to support scalable quantum software development.

Findings

Resource limitations significantly affect NISQ device performance.

Effective resource management is crucial for quantum algorithm deployment.

Strengthening Quantum Resource Estimation enhances scalable quantum software.

Abstract

Quantum computers represent a radical technological breakthrough in information processing by leveraging the principles of quantum mechanics to solve highly complex problems beyond the reach of classical systems. However, in the current NISQ era (noisy intermediate-scale quantum devices), the available hardware presents several limitations, such as a limited number of qubits, high error rates, and short coherence times. Efficient management of quantum resources, both physical and logical, is especially relevant in the design and deployment of quantum algorithms. In this paper, we analyze the role of resources in current uses of NISQ devices, identifying their relevance and implications for quantum software engineering. With this contribution, we aim to strengthen the field of Quantum Resource Estimation (QRE) and move toward scalable and reliable quantum software development