BitVM in a Nutshell
  • BitVM in a Nutshell
  • Introduction to BitVM
    • What Is BitVM?
    • How Bitcoin's Programming Works
    • How BitVM Enhances Bitcoin's Functionality
    • Bringing Computation to Bitcoin Through Off-Chain Execution
    • Conclusion
  • BitVM Applications & Use Cases
    • Introduction
    • Building Trust-Minimized Bridges
    • Beyond the Lightning Network
    • Sharing Bitcoin Security with Other Systems
    • Conclusion
  • BitVM Programming Paradigms
    • Introduction
    • How to Construct a BitVM in Practice
    • The Challenges of Compiling for Bitcoin
    • The Solution: Staging Compilation and Decomposition
    • Remarks and Future Directions
  • Existing Efforts related to BitVM
    • The Birth of BitVM
    • Making BitVM Practical: The Push for Efficiency and Automation
    • Real-World Applications: The BitVM Bridge
    • Conclusion
  • Future Work: Scaling BitVM in Production
    • Introduction
    • Developing Bitcoin-Friendly Cryptographic Primitives
    • Automating the Compilation Pipeline
    • Enhancing Security Through Formal Methods
    • Conclusion
  • BitVM vs. OP_CAT
    • What Is OP_CAT and Why Does It Matter?
    • How OP_CAT Could Boost BitVM
    • Why Isn’t OP_CAT Enabled Yet?
    • Conclusion
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  1. Existing Efforts related to BitVM

Making BitVM Practical: The Push for Efficiency and Automation

With BitVM’s potential clear, the next challenge was to make it fast and cost-effective enough for real-world use—no easy task within Bitcoin’s existing limitations.

That’s where Alpen Labs (Strata) came in. They focused on optimizing BitVM’s cryptographic algorithms to reduce the heavy computational load and lower transaction costs. Think of it as fine-tuning a car’s engine for maximum efficiency without redesigning the entire vehicle. Their work made BitVM much more practical by trimming down the resources it needed to run.

Improving algorithms was only part of the solution. The structure of BitVM programs also mattered; initially, they were bulky and inefficient—like trying to read from a giant, disorganized textbook. Alpen Labs tackled this by manually reorganizing the code, cutting out redundancies, and compressing repetitive parts. This painstaking process shrunk the program size from a whopping 7 GB to just 1 GB, making BitVM far easier to work with.

However, doing this optimization work manually was slow and frustrating—each update meant starting from scratch. Nubit came up with an automated solution. They developed a synthesis-based compiler that optimizes BitVM programs on its own. Think of it like a digital assistant that takes your messy notes and turns them into a clean, organized summary—Nubit’s compiler does just that for BitVM, translating high-level code into low-level, optimized Bitcoin script automatically. On top of that, Nubit also provides formal verification for BitVM, a way to prove that the code performs exactly as intended mathematically. This is crucial for complex BitVM-based applications where a single error could lead to lost funds. Developers can trust that their code is not only optimal but also secure.

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Last updated 6 months ago