Jonas Vetterle Personal Page & Blog

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Jonas Vetterle Personal Page & Blog has an llms.txt. Do you?

Dive into the world of quantum computing and AI with Jonas Vetterle's personal blog! Discover in-depth technical articles, interactive tools, and insights on software development that push the boundaries of technology. Whether you're a beginner or an expert, there's something here for everyone.

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49 lines -95%
4 sections -76%
2 files

Jonas Vetterle Personal Page & Blog's llms.txt Insights

Short and sweet

4 sections. Minimalist, but hey — at least they showed up.

Double trouble

Runs both llms.txt and llms-full.txt. Someone takes this seriously.

What's inside Jonas Vetterle Personal Page & Blog's llms.txt

Jonas Vetterle Personal Page & Blog's llms.txt contains 8 sections:

  • Jonas Vetterle Personal Page & Blog
  • Main Sections
  • All Blog Articles
  • Quantum Computing
  • AI and Large Language Models
  • Software Development
  • Interactive Tools
  • Contact

How does Jonas Vetterle Personal Page & Blog's llms.txt compare?

Jonas Vetterle Personal Page & BlogDirectory AvgTop Performer
Lines491029163,447
Sections4173207

Cool table. Now the real question — where do you land? Find out →

Jonas Vetterle Personal Page & Blog's llms.txt preview

First 49 of 49 lines

# Jonas Vetterle Personal Page & Blog

> Engineering notes on software development, venture capital, economics and future technologies like quantum computing.

A personal blog featuring in-depth technical articles on quantum computing, large language models, and software engineering. The site includes interactive tools and covers topics ranging from quantum algorithms to LLM scaling laws.

## Main Sections

- [About](https://www.jonvet.com/about): Background and professional information
- [Blog](https://www.jonvet.com/blog): Technical articles on quantum computing, AI/LLMs, and general software development
- [Tools](https://www.jonvet.com/tools): Interactive quantum state simulator

## All Blog Articles

### Quantum Computing

- [Understanding Quantum Superposition](https://www.jonvet.com/blog/what-is-quantum-superposition): Explains basis states, measurement, and how superposition differs from classical probability
- [What is Quantum Entanglement](https://www.jonvet.com/blog/what-is-quantum-entanglement): Deep dive into quantum entanglement, Bell states, and their applications
- [The Math Behind Deutsch's Algorithm](https://www.jonvet.com/blog/math-behind-deutsch-algorithm): Mathematical foundations of one of the first quantum algorithms
- [Running Deutsch's Algorithm on a Real Quantum Computer](https://www.jonvet.com/blog/running-deutsch-algorithm-on-real-quantum-computer): Practical implementation on IBM quantum hardware
- [Using a Real Quantum Computer](https://www.jonvet.com/blog/using-a-real-quantum-computer): Guide to accessing and programming quantum computers via cloud services
- [Learning About Quantum Computing](https://www.jonvet.com/blog/learning-about-quantum-computing): Introduction to quantum computing concepts and resources
- [Vibe Coding a Quantum State Simulator](https://www.jonvet.com/blog/vibe-coding-a-quantum-state-simulator): Building an interactive quantum simulator with visualization

### AI and Large Language Models

- [Scaling Laws for LLM Pretraining](https://www.jonvet.com/blog/llm-scaling-laws): Comparison of scaling laws from Kaplan to Chinchilla, covering compute-optimal training
- [LLM Scaling in 2025](https://www.jonvet.com/blog/llm-scaling-in-2025): Analysis of current trends and future directions in LLM scaling
- [LLM Test-Time Compute](https://www.jonvet.com/blog/llm-test-time-compute): Exploration of inference-time computation strategies for improved performance
- [LLM Synthetic Data](https://www.jonvet.com/blog/llm-synthetic-data): How synthetic data is being used to train and improve language models
- [LLM Induction Circuits](https://www.jonvet.com/blog/llm-induction-circuits): Understanding pattern recognition mechanisms in transformer models
- [Principles of Agent Design](https://www.jonvet.com/blog/principles-of-agent-design): Best practices for building effective AI agents

### Software Development

- [Simple Web Server in Python](https://www.jonvet.com/blog/simple-webserver-in-python): Building a web server with FastAPI and SQLAlchemy
- [Simple Web Server in Rust](https://www.jonvet.com/blog/simple-webserver-in-rust): Implementing a performant web server in Rust
- [Benchmarking Python vs Rust Web Servers](https://www.jonvet.com/blog/benchmarking-python-rust-web-servers): Performance comparison between Python and Rust implementations
- [Managing Python Virtual Environments with pyenv](https://www.jonvet.com/blog/managing-python-venvs-with-pyenv): Best practices for Python environment management

## Interactive Tools

- [Quantum State Simulator](https://www.jonvet.com/tools/quantum-state-simulator): 3D visualization of quantum states on the Bloch sphere with real-time probability distributions

## Contact

- [GitHub](https://github.com/jonvet)
- [Twitter](https://twitter.com/jvetterle)
- [LinkedIn](https://www.linkedin.com/in/jonasvetterle)

What is llms.txt?

llms.txt is an open standard that helps AI language models understand your website. By placing a structured markdown file at /llms.txt, websites provide AI search engines like ChatGPT, Claude, and Perplexity with a clear map of their content, services, and documentation. Companies like Jonas Vetterle Personal Page & Blog use it to ensure AI accurately represents their brand when answering user queries. Read the spec.

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