Jyv Team Models Quantum Service Threats across Pipeline Stages

Researchers at the University of Jyväskylä have developed a comprehensive security framework for Quantum-as-a-Service (QaaS) platforms, providing one of the first end-to-end analyses of vulnerabilities across cloud-based quantum computing systems. As more organisations access quantum processors remotely through cloud services, understanding security risks throughout the entire computation pipeline has become increasingly important. The study introduces a six-stage model of the QaaS workflow and applies the STRIDE threat-modelling methodology to systematically identify attack vectors from software development to quantum execution and hybrid post-processing. Quantum-as-a-Service enables users to access quantum hardware through cloud platforms without owning or maintaining specialised equipment. Many widely used quantum algorithms, including the Variational Quantum Eigensolver (VQE), Quantum Approximate Optimisation Algorithm (QAOA), and Quantum Machine Learning (QML) applications, rely on repeated interactions between classical computers and remote quantum processors. While previous research has demonstrated individual attacks against specific components of these systems, a unified assessment of threats across the complete workflow has been lacking. To address this gap, the researchers decomposed the QaaS pipeline into six distinct stages covering the developer environment, program compilation, cloud infrastructure, quantum hardware, measurement, and hybrid quantum-classical iteration. They then applied the STRIDE framework—covering spoofing, tampering, repudiation, information disclosure, denial of service, and privilege escalation—to each stage, creating a structured matrix that classifies quantum-specific threats, inherited classical cybersecurity risks, and plausible attack scenarios. The analysis revealed that security vulnerabilities extend well beyond the quantum processor itself. In particular, the study highlights two areas that have received relatively little attention in previous research: repudiation, where actions cannot be reliably attributed or verified, and privilege escalation, where an attacker gains unauthorized access to additional system capabilities. Including these categories provides a more complete understanding of how attackers might compromise cloud-based quantum computing services. A major contribution of the work is the identification of three high-impact attack chains that span multiple stages of the QaaS workflow. Rather than exploiting a single vulnerability, these attacks combine weaknesses across different components to amplify their impact. The first attack chain, Side-channel Identification → Targeted Crosstalk, uses passive observations of quantum hardware to infer information that can later be exploited to introduce errors into a victim’s computation. The second, Calibration Topology → Targeted Pulse Placement, leverages publicly available calibration information to optimise attacks against specific hardware configurations without directly monitoring user workloads. The third, Compiler IP Leak → Transpile-Stable Trojan Insertions, demonstrates how information exposed during compilation could enable malicious modifications that survive circuit optimisation and execution. By connecting these attacks within a single framework, the researchers show that vulnerabilities previously studied in isolation—including calibration tampering and SWAP attacks—are often part of broader, interconnected security risks. This finding suggests that protecting individual components is insufficient if weaknesses elsewhere in the workflow remain unaddressed. The proposed threat model establishes a foundation for designing more secure Quantum-as-a-Service platforms. It provides developers, cloud providers, and hardware manufacturers with a common framework for identifying vulnerabilities, prioritising mitigations, and evaluating security across diverse quantum computing architectures. As quantum cloud services continue to expand, such systematic security assessments will play an increasingly important role in ensuring reliable and trustworthy quantum computation. 👉 More information 🗞 An End-to-End Threat Model for the Quantum-as-a-Service Pipeline ✍️ Badhon Rahman, Majid Haghparast and Tommi Mikkonen 🧠 ArXiv: https://arxiv.org/abs/2608.05836 Stay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Muhammad Rohail T. As a quantum scientist exploring the frontiers of physics and technology. My work focuses on uncovering how quantum mechanics, computing, and emerging technologies are transforming our understanding of reality. I share research-driven insights that make complex ideas in quantum science clear, engaging, and relevant to the modern world. 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