tornado-core VS awesome-zero-knowledge-proofs

This is the repo we’re going to look at: Tornado core.

The method that I’m using is the same as what is used by Tornado Cash. Tornado Cash is a non-custodial Ethereum and ERC20 privacy solution based on zkSNARKs.

Tornado Cash is a great learning resource on how to build a real-world zk-app with Circom circuits. I strongly recommend going through the 3-page-long white paper, as well as Gubsheep's breaking down Tornado Cash session from the 0xparc course, plus Porter's overview of the white paper.

This was my very short tutorial on using zk-SNARK in JavaScript. It’s not a full course, and you probably have many questions, but I hope I helped you to start your journey. Circom and snarkjs are well documented, and you can also learn a lot from existing projects like Tornado Cash.

This is the MerkleTree contract, and the problem is on lines 58 and 59, I cannot understand why would you need to veryfy that the hash of a number has to be less than FIELD_SIZE.

Matter-Labs, Zero-Knowledge Proofs Starter Pack, etc - https://github.com/matter-labs/awesome-zero-knowledge-proofs

Check out Aztec Noir if you have 0 ZK experience. To learn, check out matter labs' awesome zkp. My favorite resource from it is "Why and How ZK Snarks". Good luck!

a link collection

Awesome lists are awesome, and Matter Labs, the team behind zkSync, keeps an awesome-zero-knowledge-proofs with links to all kind of resources.

Lots of resources here:

https://github.com/matter-labs/awesome-zero-knowledge-proofs

Finally, the are a few other zkRollups being built such as Polygon Hermez and Scroll but to go into every project in detail would require a whole post on its own. Hopefully this has been a helpful introduction to the fascinating but often confusing world of zero knowledge technology. if you want to learn more about rollups and zkRollups I’d highly recommend checking out some of u/Liberosist’s posts on the topic. or if you want to learn more about zero knowledge tech specifically, Matter Labs curated a great list of resources here: https://github.com/matter-labs/awesome-zero-knowledge-proofs

You can combine the two and have private transactions which are then rolled up in a computation, and then post the proof of the computation to mainnet. You get both cheap and private transactions and infra on top of the base chain.

But this goes beyond blockchain: we can hand code to other people to run and then have proof they haven't altered what we agreed upon running, so we can trust the results of someone else running something. That is useful in all sorts of research for replicability in science/engineering.

WIRED Computer Scientist Explains One Concept in 5 Levels of Difficulty : https://www.youtube.com/watch?v=fOGdb1CTu5c

https://developers.aztec.network/

https://z.cash/technology/zksnarks/

https://github.com/matter-labs/awesome-zero-knowledge-proofs