Quantum-Powered AI Lab

Create a complete, self-contained HTML landing page for a fictional AI research company called "Qubit Field Labs". It is an AI lab first: it trains and serves frontier models, builds tools for developers, and uses quantum computing selectively to improve model training, inference, and scientific reasoning. Quantum technology should support the AI story rather than dominate it. The result should feel like a credible, technically serious AI company, not a generic SaaS template, quantum hardware vendor, or crypto project.

Requirements:
- Single HTML file with all CSS and JavaScript inline; no external dependencies except optional web fonts
- Distinct visual direction inspired by cryogenic hardware, interference patterns, scientific instruments, and research papers; avoid predictable purple gradients and glowing brain imagery
- Hero section that leads with the lab's AI models and developer platform, explains the focused role of quantum computation, and links to models, the coding harness, research, and open roles
- A prominent models section featuring at least two distinct fictional models: "QF Reasoner 32B", a general reasoning and coding model, and "QF Matter 14B", a scientific model for chemistry and materials. Give each a concise capability profile, context length, intended use, and working call to action
- A substantial product section for "Field Harness", the lab's coding harness optimized to run its models. Show a realistic terminal or editor workflow, model selection, repository context, tool execution, test feedback, and a concise installation command. Explain concrete integration benefits rather than using generic productivity claims
- A small interactive model selector or code demo: switching between the two models must visibly change the task, sample command, capability details, and output
- An animated technical centerpiece that connects model computation to quantum-assisted optimization and responds to pointer movement
- A technically meaningful quantum interaction where the user adjusts two qubit angles, sees resulting measurement probabilities and sample counts update, and can verify that displayed probabilities sum to approximately 100%
- Research section covering three AI-centered programs: quantum-assisted model optimization, scientific reasoning, and hybrid quantum-classical training
- A results strip with clearly labeled fictional AI metrics, such as model context length, coding evaluation score, inference throughput, and quantum-assisted training efficiency; do not present them as real-world claims
- A featured paper card with title, abstract excerpt, authors, publication date, and links for paper and code
- A compact infrastructure section showing the full stack from AI models and the Field Harness through classical accelerators to selectively used cryogenic quantum processors
- Team or collaborators section and an open-positions section with at least three specific roles
- Restrained scroll-triggered motion, crisp hover states, strong typography, and excellent spacing
- Accessible semantic structure, visible keyboard focus, sufficient contrast, reduced-motion support, and responsive behavior from mobile to wide desktop
- Working navigation and small interactive details; no dead buttons, placeholder copy, stock photos, or lorem ipsum

Write concise, technically literate copy. The visual hierarchy and page content must make Qubit Field Labs unmistakably an AI model company with a serious coding product; quantum computing is its technical advantage, not its primary product. Make it clear that the company, models, products, and metrics are fictional.