How QuarkChain's Super World Computer Might Transform Blockchain Efficiency Standards

Picture an innovative realm where decentralized supercomputers can handle vast amounts of information, AI tools effortlessly tokenize assets, and users migrating from Web2 to Web3 do so almost unknowingly. This insightful vision isn't far-fetched; it's the direction QuarkChain is heading toward. Renowned for its scalable blockchain innovations, QuarkChain addresses significant hurdles in the Web3 space—ranging from optimizing computations to easing user onboarding. Along the way, they are setting benchmarks in AI and demonstrating advanced quantum-resilient security measures. Qi Zhou , Co-founder and CEO of QuarkChain Could you start by sharing your insights into the current landscape of Web3?

Presently, Web3 can largely be divided into two main types of applications. The first, financial applications, prominently feature Bitcoin, especially in light of recent developments concerning Bitcoin ETFs. There's also a rise in the popularity of meme coins, with many individuals trading these assets despite their lack of inherent value.

Conversely, I've noted a more gradual but undeniable progress in non-financial applications. For instance, Farcaster is actively developing a decentralized social platform alongside their proprietary chain called Snapchain. They aim to record every user interaction—from likes to shares—on the blockchain, providing a foundation for possible user incentives in the future.

A notable trend lies at the nexus of cryptocurrency and artificial intelligence. For example, I’ve stumbled upon ai16z, which boasts a widely used repository called Eliza. This platform enables AI agents to operate within systems like Discord and Telegram bots, facilitating token issuance that mirrors the mechanisms of NFTs. These agents are capable of transferring tokens, analyzing trade activities, and even pinpointing promising investment opportunities. The emergence of ideas in this domain is truly captivating right now.

How is decentralized computing adapting to meet the increasing requirements for scalability and security?

In the realm of decentralized computing, our primary focus has been on Layer 2 solutions to overcome existing challenges. The fundamental idea revolves around conducting computations off-chain while ensuring reliable on-chain verification. We are making ambitious strides toward significantly enhancing our computational capabilities.

Additionally, data sourcing has emerged as a crucial facet of our efforts. However, Ethereum faces substantial obstacles in this regard; despite being able to upload and validate large data sets, gas fees remain excessively high. To address this, we're introducing what we're calling the Super World Computer, which integrates our advancements in computation with rapid settlement processes capable of managing enormous data volumes—think petabytes.

For instance, we can now accommodate something like the Llama model, which contains 7 billion parameters and occupies around 35 gigabytes. Users can run their models and agents securely on the Ethereum network, eliminating the concern of single-point failures.

With AI rapidly becoming a central theme, what essential infrastructure components are needed to support AI development? How can QuarkChain make a significant contribution in this area?

From an infrastructural standpoint, the key requirement lies in facilitating extensive off-chain computation coupled with prompt on-chain compilation of results. A common strategy employs Zk-SNARK technology to authenticate off-chain computations.

That said, the magnitude of AI computational tasks is considerably greater than verifying traditional Ethereum transactions—potentially on the order of 100, 1,000, or even more times larger than standard Layer 1 or Layer 2 operations. To tackle this, we are searching for faster and more efficient methods to validate that AI models and their inferences are accurately computed on-chain.

We've secured a couple of grants from OpenStack for addressing these challenges. Our approach fuses data availability with Zk-SNARK techniques to amplify ZK verification capacity by more than a thousandfold. Testing has been successfully completed, and we've set the foundations. Our sights are on carrying out further tests and hopefully launching on the mainnet in the coming year.

What hurdles do decentralized applications confront while shifting from Web 2 to Web 3? How can QuarkChain alleviate these challenges?

Several notable challenges must be addressed during the shift from Web 2 to Web 3, chiefly related to user onboarding hurdles. In the Web 2 framework, registering for platforms like Twitter or YouTube is straightforward, merely requiring a phone number or email. Yet, onboarding in Web 3 is not yet as streamlined.

Take for example, in Web 3, users must first create a wallet and securely manage their private keys. Prior to executing their inaugural transaction—whether it involves token swapping, value transfer, or activating an on-chain agent—they need to acquire gas tokens.

Vitalik recently penned an illuminating article regarding the future of this process. Thanks to EIP-7702, it's now possible to formulate on-chain addresses through conventional authentication methods, such as email. As long as these accounts can generate a basic message signature—something services like Google already facilitate—these signatures can authorize on-chain transactions.

We're in the foundational stages of contributing to EIP-7702, including creating standard specifications. Demos have already been rolled out on the EIP-7702 testnet and DevNet to showcase these features.

Our second strategy revolves around enabling users to send their initial transactions without having to procure gas tokens. Although transaction costs on Layer 2 are relatively low, the process of obtaining these tokens from exchanges can discourage user participation.

To remedy this, we propose distributing non-transferable 'sole guest tokens' to users who verify their Web 2 identities. By ensuring these tokens cannot be transferred, we limit potential exploitation such as creating multiple accounts for airdrop advantages. This strategy enables us to deliver a nearly seamless onboarding experience akin to Web 2.

What regulatory hurdles could arise as blockchain and computing networks gain more widespread acceptance?

The regulatory landscape is riddled with challenges. A pertinent example is Tornado Cash, a privacy-centric mixer application whose creators faced serious consequences for purported regulatory violations in the U.S. However, recent court rulings imply that such autonomous smart contracts might not be prone to control or censorship, which could bode well for developers.

From a storage perspective, colleagues serving as storage providers for initiatives like Filecoin face difficulties when dealing with sensitive or potentially illegal data uploads. Certain service providers have issued legal demands for them to cease storing or distributing such material.

I favor the idea of 'self-regulation'—leveraging the robust computational and storage capacities of Web 3 to create a light self-regulatory framework. One suggested approach is utilizing AI, possibly overseen by a DAO, to identify and remove harmful or illegal content.

This tactic could foster a healthier network environment by autonomously tackling spam, noise, and illegal data, ultimately leading to a more valuable ecosystem for everyone involved.

In light of Google's recent quantum computing advancements, how might this influence blockchain security? What precautions are networks taking to address this emerging threat?

I've engaged in numerous discussions within my community concerning quantum computing, particularly regarding Google's recent achievement in diminishing quantum noise while generating quantum bits.

At present, breaking Bitcoin's encryption entails utilizing thousands of logical quantum bits. Yet, due to existing error rates, we previously required millions of physical quantum bits to counteract computational noise effectively.

There are a pair of potential solutions. One involves creating quantum computers in deep space—a notion that intrigues Elon Musk, who might leverage SpaceX to launch quantum chips to regions with reduced electromagnetic interference. Nevertheless, quantum computing machines are currently cumbersome, energy-consuming, and still not practical.

Google's recent 'Willow' initiative demonstrated that even in typical Earth settings, they can construct chips adept at minimizing noise. What previously required millions of physical quantum bits might now be achievable with just 10,000 or fewer.

This greatly simplifies the task of breaking Bitcoin's hash and ECDSA signatures, although it remains a costly endeavor. Bitcoin could likely transition to post-quantum signature systems. Many quantum signature frameworks utilize hash functions, providing a smooth pathway from current ECDSA signatures.

Challenges remain, including a substantial increase in signature sizes and possible vulnerabilities in older cryptocurrencies like Satoshi's. However, in the grand scheme, we are optimistic that cryptocurrency will maintain its resilience despite the progress in quantum computing.

What does the trajectory or vision for the Super World Computer (SWC) look like in the near future? What are your priorities for the upcoming year?

Throughout this year, we've made remarkable strides concerning our supercomputer. Our dedicated website is now live, and we've rolled out a DevNet that meets most of our roadmap specifications, including large-scale storage and efficient settlement of off-chain computations.

We've also introduced features such as the SO-Gas token, enabling users to submit tasks without needing gas tokens, provided they can verify their Web 2 identity. Looking ahead to next year, our first objective is to launch public testnets while actively promoting user engagement with our network. If everything remains stable, our target is to deploy the mainnet.

The Potential of QuarkChain's Super World Computer to Transform Blockchain Efficiency - Metaverse Post

QuarkChain aspires to create an effortless Web3 ecosystem that harnesses decentralized supercomputing, AI-based asset tokenization, and smooth transitions from Web2 to Web3, all supported by a scalable blockchain framework, innovations in AI, and security designed to withstand quantum threats.

The Potential of QuarkChain's Super World Computer to Transform Blockchain Efficiency