The Zinc framework

Documentation

The official Zinc book: https://zinc.zksync.io/

Gitter

Please discuss here: https://gitter.im/matter-labs/zinc

Installation

1. Download the latest release for your machine from https://github.com/matter-labs/zinc/releases.
2. Unpack its contents to some folder and add the folder to your

   PATH

   environment variable.
3. Use the binaries via your favorite terminal.

Getting started

At first, you should install the following binaries to be available through your

PATH

zargo

znc

zvm

Then, follow the tutorial to create and use your first smart contract.

Design background

The goal of Zinc is to make writing safe zero-knowledge circuits and ZKP-based smart contracts easy. It has been designed with the following principles in mind:

• Security. It should be easy to write deterministic and secure applications. Conversely, it should be hard to write code to exploit some possible vulnerabilities found in other programming languages.
• Safety. The language must enforce the strictest semantics available, such as a strong static explicit type system.
• Efficiency. The code should compile to the most efficient circuit possible.
• Cost-exposition. Performance costs that cannot be optimized efficiently must be made explicit to the developers. An example is the requirement to explicitly specify the loop range with constants.
• Simplicity. Anyone familiar with C-like languages (Javascript, Java, Golang, C++, Rust, Solidity, Move) should be able to learn Zinc quickly and with minimum effort.
• Readability. The code in Zinc should be easily readable to anybody familiar with the C++ language family. There should be no counter-intuitive concepts.
• Minimalism. Less code is better. There should ideally be only one way to do something efficiently. Complexity should be reduced.
• Expressiveness. The language should be powerful enough to make building complex applications easy.
• Turing incompleteness. Unbounded looping and recursion are not permitted in Zinc. This not only allows more efficient R1CS circuit construction but also makes formal verifiability about the call and stack safety easier and eliminates the gas computation problem inherent to Turing-complete smart contract platforms, such as EVM.

Key features

• Type safety
• Type inference
• Immutability
• Movable resources as a first-class citizen
• Module definition and import
• Expressive syntax
• Industrial-grade compiler optimizations
• Turing incompleteness: no recursion or unbounded looping
• Flat learning curve for Rust/JS/Solidity/C++ developers

Comparison to Rust

Zinc is designed specifically for ZK-circuits and ZKP-based smart contract development, so some differences from Rust are inevitable.

Type system

We need to adapt the type system to be efficiently representable in finite fields, which are the basic building block of R1CS. The current type system mostly follows Rust, but some aspects are borrowed from smart contract languages. For example, Zinc provides integer types with 1-byte step sizes, like those in Solidity.

Ownership and borrowing

Memory management is very different in R1CS circuits compared to the von Neumann architecture. Also, since R1CS does not imply parallel programming patterns, a lot of elements of the Rust design would be unnecessary and redundant. Zinc has no ownership mechanism found in Rust because all variables will be passed by value. The borrowing mechanism is still being designed, but probably, only immutable references will be allowed in the future.

Loops and recursion

Zinc is a Turing-incomplete language, as it does not allow recursion and variable loop indexes. Every loop range must be bounded with constant literals or expressions.