Quantum chemistry for metamaterial properties and IR signature reduction in intelligence covert technology applications.
Current capabilities and intelligence applications. Key areas include: Electronic structure problem: why intelligence-relevant material properties need quantum-level simulation; VQE on NISQ hardware: achievable system sizes and the chemical accuracy threshold; Gap analysis: what intelligence materials R&D needs versus what quantum computers deliver today.
Quantum simulation for intelligence-relevant properties. Key areas include: Metamaterial design: quantum simulation for tunable permittivity and permeability; Signature reduction: quantum chemistry for broadband electromagnetic absorption in covert coatings; Adaptive materials: quantum simulation for phase-change and stimuli-responsive materials.
Detection and counter-detection applications. Key areas include: Counter-surveillance materials: quantum simulation for detecting and neutralising adversary covert sensors; Quantum dot and NV-centre sensors: materials science for next-generation intelligence collection devices; Energetic materials: quantum simulation for detection marker prediction.
VQE calculation for a covert technology material system. Key areas include: Facilitator-led demonstration of quantum simulation for a material property relevant to intelligence applications; Interpreting results and comparing with classical DFT predictions; Identifying the system size and accuracy improvements needed for operationally useful predictions.
Where to focus quantum materials spending for intelligence. Key areas include: Near-term: quantum-inspired classical methods for immediate materials screening; Medium-term: early fault-tolerant quantum simulation for targeted material classes; Long-term: full quantum simulation and its impact on covert technology development.
Published initiatives and early results. Key areas include: Government quantum materials R&D programmes with intelligence relevance; International quantum simulation capability development and competitive assessment.
Q&A and R&D Roadmap Planning: this session covers the core principles and technical underpinnings relevant to the subject area.
Discuss this topic with senior peers.
