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Workshop on Quantum Computing for Securing Large Language Models (QCLLM) 2026

Type Training
Organization SBA Research
Event Format Physical
Size 101 - 300 approximate delegates
Registration Not Free

Search for other Cybersecurity Conferences in Sweden in 2026-2027.

Training Description

Key Takeaways

  • Explores the intersection of quantum computing, cybersecurity, and artificial intelligence
  • Focuses on securing large language models (LLMs) against quantum-enabled threats
  • Highlights quantum-safe cryptography and quantum-resistant AI architectures
  • Brings together researchers and practitioners from quantum, AI, and cybersecurity fields
  • Addresses ethical, privacy, and legal implications of quantum-secure AI

The QCLLM Workshop (Quantum Computing for Securing Large Language Models) is a specialized academic event held alongside the 21st International Conference on Availability, Reliability and Security (ARES 2026) in Linköping, Sweden. This workshop is dedicated to advancing the understanding and application of quantum technologies for enhancing the security and resilience of large language models in artificial intelligence.

Overview of the QCLLM Workshop

The QCLLM Workshop serves as a collaborative platform for experts in quantum computing, AI, and cybersecurity. Its primary objective is to address the growing need for robust security measures as quantum technologies evolve and pose new challenges to AI systems. The event emphasizes the importance of developing quantum-resistant solutions to protect large language models from emerging threats.

Participants will engage in discussions on quantum algorithms, quantum-safe cryptography, and the assessment of vulnerabilities in LLMs within a quantum context. The workshop encourages the exchange of ideas and research findings, fostering a multidisciplinary approach to securing AI technologies.

Core Topics and Themes

Key themes include the development of quantum-resistant AI architectures, the use of quantum machine learning in cybersecurity, and the exploration of quantum-enabled attacks on LLMs. The workshop also addresses adversarial defenses using quantum resources and examines the ethical, privacy, and legal considerations of deploying quantum-secure AI systems.

By focusing on these areas, the event aims to advance the state of research and practice in quantum security for artificial intelligence, ensuring that future AI systems remain trustworthy and resilient in the face of quantum advancements.

Audience and Collaborative Opportunities

The workshop is designed for researchers, academics, and industry professionals specializing in quantum computing, AI security, and cryptography. It provides a unique opportunity for collaboration, knowledge sharing, and the development of innovative solutions to the challenges posed by quantum technologies in AI.

Organized by SBA Research, the QCLLM Workshop is positioned as a leading forum for thought leadership and community building in the field of quantum security for large language models.