What is ZKM telling?What are the scenes?

Author: kiwibig.eth, Source: Author Twitter @Kiwicryptobig

Congratulations ZKM

1) After turning the record, it was first talked about this project during the bear market in March last year.

At that time, the team was still polishing the entire product, and the concept of ZKMIPS seemed to be completely different from now.

2) Technical difficulty: At that time, ZKM was using ZKMIPS to build a common ZKP system. It was a method of using MIPS instruction set as a programming language of ZK Rollup.

MIPS architecture was developed by Stanford University more than 20 years ago. It is a simple, optimized and highly scalability RISC architecture.The characteristics are: containing a large amount of registers, numbers and characters, and visible pipeline delay time gaps. These characteristics enable the MIPS architecture to provide the highest performance per square millimeter and the lowest energy consumption in today’s SOC design.

These characteristics are actually very suitable for writing the ZK instructions, but the problem is that there are fewer development components and tool packages. It is a relatively difficult item.

3) Therefore, at that time, my personal judgment should be a long cycle to do such a underlying project. In the bear market, it was a typical winning percentage of projects with excellent odds.

About ZKM’s current story

1) Read the white paper, and the pattern of ZKM opened again:

The mission of ZKM is to build a universal zero -knowledge virtual machine (ZKVM). Under the premise of sacrificing safety and decentralization, it allows different blockchain (or even non -blockchain systems) to change communication.As a result, the decentralized Internet is significantly enhanced and integrated, and the integration of the blockchain system and the non -blockchain system is finally realized.

2) Technical details

ZKMIPS provides an efficient and secure way to verify the correctness of calculation under the MIPS architecture in the form of zero -knowledge proof.

-MIPS architecture:ZKMIPS is designed for MIPS processors. This processor is known for its simple instruction set and efficient performance. It is widely used in embedded systems and IoT devices.ZKMIPS uses MIPS’s fixed instruction set advantage to make the generation and verification of zero -knowledge proof more efficient.

-Stile knowledge proof:ZKMIPS uses AlgeBraic Intermediated Reprerentation (Air) and Fast Reed-Solomon Interactive Oracle Proofs of Proximity (FRI).AIR is responsible for converting MIPS to polynomial, while FRI is a technology used to verify the approximation of polynomial. The combination of the two enables ZKMIPS to easily generate and verify zero -knowledge proof.

-Software system architecture:Including components such as ELF loader, MIPS virtual machine (VM), proof generator (ProVer), and communication manager, support the compilation of the program into MIPS executable files, execute the MIPS instruction sequence, and generate ZKP based on the execution trajectory.

3) Application scenarios

ZKMIPS has a wide range of application scenarios, covering many fields such as blockchain, the Internet of Things, cloud computing and machine learning, and has significant security and privacy advantages.

a. Layer2 solution:In the blockchain, ZKMIPS and the second -layer solution are combined to enhance the privacy and scalability of transactions through ZKP.It can accelerate transaction processing, while maintaining the irreplaceable and transparentness of the data on the chain.

IoT (IoT): ZKMIPS can be used to improve the security and privacy of communication between IoT devices.When sending sensitive data between IoT devices, ZKMIPS can ensure the integrity and confidentiality of the data and avoid sensitive information leakage.

b. Decentralization cloud computing:In cloud computing scenarios, ZKMIPS allows users to use cloud resources to perform computing tasks while ensuring the correctness and credibility of the calculation results without trusting cloud service providers.

c. Zero -knowledge machine learning (ZKML):ZKMIPS can be applied to machine learning models, allowing model users to verify the correctness of the model output without exposure of private data or model details for calculating.This is particularly important for processing sensitive data (such as medical information and personal privacy data).

Field scene: ENTANGLED ROLLUPS

ENTANGLED Rollups shared data and status between different ROLLUPs, enabling them to make efficient cross -chain communication between them.

It will also cater to the market and seize the wave of Bitcoin. Entangled Rollups can be used as a safe cross -chain bridge for Bitcoin.

1) Unity of cross -chain liquidity:Through Entangled Rollups architecture, seamless connections can be achieved between each blockchain, thereby allowing assets and information to be freely flowing between different blockchain networks (such as Ethereum, COSMOS, TON, etc.), solving the current blockThe high fragmentation of liquidity in chain ecosystems.

2) Safe cross -chain bridge connection:The existing cross -chain bridge connector has hidden safety hazards. Entangled Rollups proves the status of different blockchain through recursively zero knowledge, bypassing the traditional bridge mechanism, providing a safer user experience.

3) Bitcoin Layer 2 solution:ENTANGLED Rollups provides a Layer 2 solution for the Bitcoin network, which not only provides a new way for BTC holders and miners to obtain transaction fees and ZKM mining rewards by participating in the decentralized sequence.Through the Proof-OF-Stake decentralized sequencer architecture, the sustainable income and network security of Bitcoin are realized.

4) Local security and sustainable returns:Entangled Rollups provides a sustainable income channel for node operators, pledges, and users to node operators, pledges, and users through its unique Optimistic Challenge Process mechanism and decentralized sequencer through its unique Optimistic Challenge Process.

In the end, it was more than a year in a blink of an eye.

For a researcher, observing a project that made a year ago is a good feedback and awareness closed loop.

Go back to see the most primitive research report at the time, and found that the team really completed the idea of ​​the year this year.

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