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Reduce gas consumption at zero knowledge in evidence (ZKPS) Ethereum

As a creator working with ZKP libraries, you probably know about the effects of these cryptographic primitives. One common challenge is the high gas taxes incurred during inspection processes. In this article, we will explore the options to reduce gas consumption using ZKP functions, especially focusing on the Junichalenge and other use of the library inspection.

Gas ​​consumption factors

Before diving into decisions, it is necessary to understand the main factors contributing to the increased gas consumption:

2.

Reduction of gas consumption options

Consider the following strategies to soften gas consumption:

Ethereum: How to reduce gas consumption in ZKP function

1.
Optimize the functionality of the verifier

2.
Reduce party participation

3.
Use zero knowledge coding (zke)

4.
install lazy check

5.
Cache often used data

Example: To optimize the Junechallenge feature

Let’s consider an example of the implementation of Junechalnge:

`Solidarity

Pragma solidity ^0.8.0;

Import “

contract with junachalenge {

// …

Functions in Junechalenge () Public Payment {

// …

Uint256 Partycount = 10; // reduced batch number for lower gas taxes

UINT256 prove = zkpminimalopropacesize ();

// Use optimized check logic or install zke coding here

}

}

`

###’S conclusion

It is very important to reduce gas consumption in ZKP functions to optimize performance and reduce taxes. By applying these strategies, creators like you can improve the overall efficiency of your programs Ethereum.

Additional sources

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