Workshop on Quantum Computing for Securing Large Language Models
Quantum computing and cybersecurity are both advancing rapidly, while Large Language Models (LLMs) are becoming increasingly important in research, industry, and society. QCLLM 2026 focuses on the intersection of these areas by exploring how quantum computing can be used to strengthen the security, robustness, and resilience of LLMs against emerging threats. The workshop aims to foster collaboration between researchers and practitioners in quantum computing, AI, and cybersecurity, with attention to both defensive opportunities and the risks posed by quantum-enabled attacks on AI systems.
The submission guidelines valid for the workshop are the same as for the ARES conference.
Submit to ARES 2026