Paper 2023/369

LURK: Lambda, the Ultimate Recursive Knowledge

Nada Amin, Harvard University
John Burnham, Lurk Lab
François Garillot, Lurk Lab
Rosario Gennaro, Protocol Labs
Chhi'mèd Künzang, Lurk Lab
Daniel Rogozin, University College London
Cameron Wong, Harvard University
Abstract

We introduce Lurk, a new LISP-based programming language for zk-SNARKs. Traditional approaches to programming over zero-knowledge proofs require compiling the desired computation into a flat circuit, imposing serious constraints on the size and complexity of computations that can be achieved in practice. Lurk programs are instead provided as data to the universal Lurk interpreter circuit, allowing the resulting language to be Turing-complete without compromising the size of the resulting proof artifacts. Our work describes the design and theory behind Lurk, along with detailing how its implementation of content addressing can be used to sidestep many of the usual concerns of programming zero-knowledge proofs.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Preprint.
Keywords
LispRust
Contact author(s)
namin @ seas harvard edu
john @ lurk-lab com
francois @ lurk-lab com
rosario @ protocol ai
clwk @ lurk-lab com
d rogozin @ ucl ac uk
cwong @ g harvard edu
History
2023-03-16: approved
2023-03-14: received
See all versions
Short URL
https://ia.cr/2023/369
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2023/369,
      author = {Nada Amin and John Burnham and François Garillot and Rosario Gennaro and Chhi'mèd Künzang and Daniel Rogozin and Cameron Wong},
      title = {LURK: Lambda, the Ultimate Recursive Knowledge},
      howpublished = {Cryptology ePrint Archive, Paper 2023/369},
      year = {2023},
      note = {\url{https://eprint.iacr.org/2023/369}},
      url = {https://eprint.iacr.org/2023/369}
}
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.