Skip to content
Research Post
Microsoft Research AI · Research Sources

Proof-based general-purpose computing with Magnetar.

By Srinath Setty

Published 15 Oct 2026

AI brief

Microsoft Research describes Magnetar, a system that uses zero-knowledge proofs to verify computing results without rerunning workloads or exposing sensitive data. It supports standard programming languages, delivers major speed gains, and offers quantum-resistant security.

Why it matters: Zero-knowledge proofs could allow computation results to be verified without repeating the work or revealing the underlying data.

Written by AI from Microsoft Research AI's published text. Read the original for full details.

From the publisher

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research .

Research SourcesRetrievalMicrosoft Research AI
Read original post ↗

More on Retrieval

  1. Training Foundation Models with a Single Algorithm
    Hugging Face Papers · 29 Oct 2026
  2. Working with academic communities to build scientific understanding
    OpenAI Research · 26 Oct 2026
  3. On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction
    Hugging Face Papers · 26 Oct 2026
  4. ThinkBit: Search Codewords, Recalibrate Scales, Select by Reasoning
    Hugging Face Papers · 26 Oct 2026
← Back to Research