A taxonomy-guided RAG system with LLMs reduces hallucinations and improves migration suggestions for Qiskit code compared to unconstrained retrieval.
Quantum Resource Management in the NISQ Era: Implications and Perspectives from Software Engineering
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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
years
2026 2representative citing papers
QAccCert integrates FPGAs and LLMs within a Quantum Software Engineering framework to optimize CHSH entanglement certification parameters in ideal quantum simulations.
citing papers explorer
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Qiskit Code Migration with LLMs
A taxonomy-guided RAG system with LLMs reduces hallucinations and improves migration suggestions for Qiskit code compared to unconstrained retrieval.
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Quantum Software Engineering in Practice: FPGA and AI Integration for Quantum Certification
QAccCert integrates FPGAs and LLMs within a Quantum Software Engineering framework to optimize CHSH entanglement certification parameters in ideal quantum simulations.