QMS: the vision, the testnet, the road ahead

QMS Network Subscribe Podcast 34m 20s 0 downloads Added 2026-10-02 #Trending

Listen Preview

00:00
34:20

Listen the full audio for free - sign up to download, transcribe and summarize.

Listen without signing up - 3 free downloads per day - includes AI transcript, summary and SRT Sign up free →

AI Summary

QMS CTO Chris介绍其量子抗性区块链项目:利用量子计算机擅长的有用工作量证明(PoW),天然规避PoS在量子时代的签名难题。 - Chris拥有15年学术界量子与经典密码学研究背景,后转Web3行业约5年,现致力于将量子与经典密码学结合。 - QMS的出发点是反向思考:量子计算机不仅威胁现有签名方案,也能为区块链带来价值。 - 研究(含Grover算法分析)表明量子计算机无法取代比特币挖矿硬件,CPU、GPU、ASIC后不会是量子计算机。 - 项目采用"有用工作量证明"(proof of useful work):让矿工解量子计算机擅长的优化问题,而非哈希计算。 - 工作量证明(PoW)天然具备量子安全性,因为它依赖哈希而非签名;权益证明(PoS)则面临严重量子威胁。 - PoS需大量验证者签名,后量子签名体积巨大,可能导致每区块数GB签名数据,当前技术下PoS无法做到量子安全且高效。 - PoS项目路线图多未解决该问题,而PoW被视为当下可行的量子安全共识方案。 结论:在量子计算威胁临近的背景下,基于PoW的有用工作量证明架构是兼顾安全性与量子计算价值的现实路径,值得关注QMS测试网进展。

Want this audio offline?

Download the original M4A - AI transcript & summary included - 3 free per day

Transcript

Okay, great. Chris, can you hear me okay? Yes, I can hear you, great. Okay, wonderful. Let's kick it off. We've got close to 200 users and members. So I think we'll just get straight into it. The QMS network testnet beta opened yesterday. So Chris, you're the CTO of everything. Can you tell us a little bit more about yourself just to kick everything else? Yeah, sure. So I have a background in cryptography. In both quantum and classical cryptography, so I've done both in when I was in academia, spent about 15 years in academia. And then after a while, I moved on to industry to Web3. So I spent about five years working in blockchain companies, working closely with engineers, designing blockchains, producing blockchains, making sure everything worked well. Then I was lucky to come across this unique opportunity where I can actually combine both my quantum background and my classical cryptography background. So it is really a very exciting thing for me to be building this new chain. So it's kind of like a little bit of a meeting of both sides really. Yes, yes, yes, yes we is. Okay, so I guess that kind of begs the question, what does QMS have to do with quantum? Yes, that was the starting point of the reflection around QMS. You know, everyone is talking about quantum computers that are coming and shows out with a little break all the signature schemes. And we have to update everything before QD, before disaster. But that's only kind of seeing one side of the coin. Because quantum computers are sure they can be used by adversaries to break schemes. But what can they be used for by, you know, sort of the good people between quotes? What great stuff can you do? And how can blockchain profit from that? So that's what we were thinking about. And there's some research done into where the quantum computers could mine Bitcoin. And some interesting papers where the answer is no. In theory, yes, they can with Grover's algorithm. But when you actually crunch the numbers, you realize it's not going to work. The best hardware will probably remain classical hardware. Quantum computers won't get there. There's too much overhead to too many issues. It's not, it just doesn't work. I don't want to give you a little lecture now on the Grover's algorithm. But there's a paper actually linked to my white paper, which talks a bit about that. So quantum computers won't be helping there. You know, it won't be the next generation of hardware for Bitcoin, because we had CPUs, GPUs, ASICs, and we won't have quantum computers. So then we were wondering, well, what can we do with quantum computers? How can we have quantum computers profit to a blockchain to actually use their potential? And that's when we came across proof of useful work where the mind is just don't solve hashes for which the quantum computers aren't great. But solve some kind of optimization problems or there are many class of problems they can solve. And then, ta-da, quantum computers are great at doing that. So then we were like, OK, well, maybe we can build a blockchain where the work done by miners is something that quantum computers could be good at. So that was kind of like the starting point of our reflection. OK, so that's kind of, I wanted to ask you more about the definition on useful work. But I feel a little bit like you've already answered that and just gave the whole slew of really well, like a great wealth of information. But quantum computers are still very much a threat. So what is QMS doing about that? Well, yeah, we're doing lots about that too. That's somehow one of the special things about proof of useful work is underlying it is proof of work. And when you dive into the cryptography side, you realize that proof of work is naturally quantum secure. Proof of stake is not. So all the blockchains that are proof of stake, they have huge problems, they have long-world maps ahead of them to update the consensus layer. Because you have signatures in proof of stake. And these signatures will get broken. And the signatures for the post-quantum signatures, the ones which are secure against quantum computers, they are massive, they are huge. And if you want 100,000 validators to sign your block to say that it's valid, you have a problem. You could have multiple gigabytes just for the signatures. So with today's technology, proof of stake does not work. It cannot be made quantum proof. Not to be fast and efficient the way it is now. You could do it really slow and have a block in which you minutes that we know how to do. And no one is happy with that. So if you look at the road maps of these companies, these proof of stake companies, on the road map is always like, let's figure out how to do it. So we don't really know how to make proof of stake completely quantum secure right now. Whereas proof of work, I said, it's naturally quantum secure because there are no signatures. It is hashing. And you know that the hashing is resistant to quantum computers. So what is really missing is for things like Bitcoin is the execution there where they need to just change the signatures on the transactions, which are maybe getting into a bit later. So proof of use of work to come back what we're doing, it is based on proof of work. So it is also naturally secure against quantum computers. So we already have kind of like from the start a secure consensus layer, which is great. We have a finalization layer on top. Which at the beginning will be centralized to kind of start off in an easy way. So we'll have one post quantum signature on it, which then will also get post-com security and the finalization layer. And then the execution layer that will be sort of down the road map, we're starting with an EVM execution there. So we're just taking it from Ethereum. It's Ethereum compatible. It won't have the post-com signatures on day one because we want everything to work. We want bridges to work. We want wallets to work. And quantum computers aren't there yet. So we've decided to favor compatibility with the existing infrastructure over security for what we're going to need in a few years. And over these next couple of years, we're going to be migrating the execution layer to post-com signatures. And that is the sort of the easy part between quotes, which we actually know how to do. OK. The testnet beta opened up yesterday. Yeah. So can you dive in a little bit more onto that? Bit of a milestone. So congratulations. So what's been released so far? Has the reception been? Reception has been great. We've had seen lots of activity in the past 24 hours. I think we had like 500 transactions per minute last time we checked. So all that is very, very exciting. So what we are releasing, we're calling it testing it to beta because it isn't feature complete. We're missing many things to be a proper blockchain. For example, we can't open mining at this point because we don't have difficulty adjustment algorithm. That's something which is important in any proof of work blockchain. When new miners join, you have to increase the difficulty so that you keep the block rate at the constant speed. And there are a few pieces like that, which are missing at this point. So I'm running all the miners ourselves because if you want some kind of demo, the people can actually use. And we wanted to already release it because our strategy is kind of to release things in steps. So instead of being a secret project which works for three years and then releases the final product, our strategy is to release step by step. Each time we have something that the community can use, we push it out there and we let you guys try it out and use it. There are many reasons for doing that. One is we get a very fast feedback loop. Is the product really aligned with what the market wants? And this allows us to sort of change and align much faster with the market than then what happens if you kind of do everything in secret for many years. So pushing it out there, people can test it. If you can get feedback, we can talk to investors, we can talk to clients, we can see what they want, what new features they think are more important. And then we can adapt our roadmap and have the next release and the next release and that's how we're kind of planning it. OK. Yeah. If someone wanted to just get in there and try it out today, where should they start? How can they report bugs and for them to feed their feedback? What's the best way for them to go about that? So to start, we have documentation pages. So you can go on our website and you can look at the docs. And there are also various articles which have been released. So if you just follow us on social media, you'll find links to the articles. There are walkthroughs, nice graphics. So it tells you how to start, how to connect to Wallets, how to use it. We have the first app that has been built on our chain is a DEX. So we're very happy that that could be aligned with the release of TestNet. So you can go and test that out, see how that works, create a pool, trade stuff. So this is TestNet. Nothing has any value. All the tokens have no real monetary value. So there's a forset to get tokens. Yeah, we had a bit of issues with our forset. Apparently someone turned on a bot which was just hammering our forset. And then we'll use a difficulty getting the tokens. So this morning we switched on some anti-bots measures, which forced you to do some work to get the tokens. So yeah, we have a forset, get tokens, try it out. It's an EVM compatible chain. So it should work very similarly to all the other chains that you have. If you've launched a smart contract, another chain, trying to pop it over to our chain, launch it, see if it works. We would love to get feedback. And the best way to get feedback is on Discord. So we have a very active Discord server. We have, I think, more than 10,000 people. So yeah, just join Discord. Tell us how things are going, give us feedback. We'd appreciate all of that. OK. So after beta, so what happens? What's in the roadmap? What are we looking forward to? So the next thing is what's trying to... Really, yes, it's a way of asking, you know, like, what are you working on now? Yeah, right now. So we have the core blockchain team that's working on features of the core blockchain. So we have the finalization there. We're trying to finish that. Difficulty adjustment algorithm, the whole tokenomics. So right now, testnet, our mine is not getting paid. I mean, it's fake tokens anyway, but you don't have the code in place to pay minus for the work. So that's the next thing we're doing. And we have an ecosystem team that's working on the marketplace for the useful work. So that's something I didn't get around to saying before. But you know, where useful work chain, which means that our mine is solved some kind of optimization problems. And the idea underlying that is that we would have clients that actually care about the answers. Because the hash is doing Bitcoin. The only purpose is securing the chain. No one cares about the hash is of the values other than securing the chain. Whereas if at the same time you could do work, so it's a proof of work, you prove that you've done the work, but someone actually cares about your solution you found. That's great. It's a second revenue stream for the miners. So right now in the testnet beta, the miners are just producing random problems themselves. The next stage is to connect it to a marketplace where clients can actually come and propose problems and say, hey, I'd like this you to solve this problem for me. So our first release will be portfolio optimization. So we'll have a user interface where user can select tokens or assets they want to invest in, say, how much they want to invest, what kind of risk they want, give a whole bunch of parameters. And then that will be compiled into a problem which is sent to the miners. And then the miners can pick it off the marketplace, solve the problem, and then give the answer back to the users. So that is nothing place yet. It's one of the things we're working on. And I don't know if it'll be in the next release, probably the one after because that's a bit more tricky. We need to test it carefully. Yeah, we have other things in the pipeline like post-cognom signatures, like a pre-compile to be added to smart contracts. That's probably even further down the pipeline. So we have a very long list of things we'd love to do. And based on the feedback we get, you might swap the order of the things on our to-do list, depending on what people want the most. OK. OK, great. I guess also in terms of, you know, brings us to the next part of what do people want the most is we have heard from the community. We put it out there. And we got a slew of questions back. There were quite a lot. So we've only been able to select a few because we're tied on time. But we will put out content afterwards that answers more of the questions from the community. One of the main themes that came here on these questions was, you know, what are the main things you want to prove with TestNet? And what would be Canada's success with that? Yeah. So, you know, what's nice about being in tech is we're kind of happy, you know, might have what happens. You break our chain, we're happy because we found a bug. Or a chain once perfectly, we're happy because we've just demonstrated we have a great chain. So we can really get positive out of all all sides of this. I mentioned earlier the issue with the first set, which was for us was an interesting thing to learn because there's really no point in hitting our first set with a bot. What you want to do with fake tokens on the TestNet chain? There's really absolutely no point to it. But somehow someone did it. So we always think of people trying to bring your chain down as being, you know, trying to sort of make money. And you have to be really careful on mainnet where there's like lots of real money. But no, people will just do random things on your TestNet. And for us, this is a great learning curve. So, yeah. So that's one thing we learned in the past 24 hours. We also learned that our chain holds up no problem with the load of 500 transactions per minute. Bigs, we did absolutely no load testing before releasing that. So you were like, OK, we have a chain. Let's just release it and let people test it and see what happens. Because this is what TestNet is for. You know, you guys are out there and you're testing our chain. And we had 500 transactions per second. Absolutely no problem. So we're really happy about that. We learned that that part, you know, worked, worked great. So a lot of it is, yeah. A lot of it is really just learning seeing what works, what doesn't work, and getting feedback. Also just proving, you know, where a real team with a real product, because it's kind of sad. But nowadays with AI, you can produce so many things and you can pretend to have a good product. And then you'll kind of break at the end, you know, in the last step because you don't have a real team behind it launching it. So that's also where you're going.

Finished reading? Take the audio and transcript with you

Download the audio plus timestamped transcript and SRT subtitles · RSS

Frequently Asked Questions

What is this Space about?

"QMS: the vision, the testnet, the road ahead" is a live audio conversation on X (Twitter) hosted by QMS Network34m. Download the audio via IFY Hub to get AI transcript and summary of the discussion.

How do I download this Space's audio?

Click the "Download Now" button (3 free downloads per day after registration). Our system parses and downloads the audio automatically, then generates AI transcript and summary.

How long is this Space? Is it worth listening to?

This Space is about 34m, hosted by QMS Network. Preview it for free, then download the full audio and AI summary if you like it.

More Hot X Spaces

View all

Discussing the Fatima Secrets and Trump’s role in the apocalypse.

Transcript

法蒂玛讯息是1917年圣母通过葡萄牙三名牧童向人类发出的警告,核心是呼吁悔改皈依,并预言教会与社会的危机,至今未公开部分仍具现实意义。

Godfroy 5h 58m

What does a Man Owe A woman . #ManCaveUg

Transcript

多元家庭关系专家建议男性从新关系开始就公开说明自己有两个家庭,并劝告成年子女不要卷入父母的婚姻冲突。

ManCaveUG 5h 58m

Trader Round Up - ICT Follow Through

Transcript

Trader X Monk 分享如何用 if then(XYZ)逻辑树做交易决策,以低垂果实目标和应急计划实现成熟稳健的交易。

Kitt 1h 46m

Global scholarship and PhD Opportunities: Canada, USA, Europe, Asia!

Transcript

来自尼日利亚、现于英国诺丁汉大学读博的Lilian Akudu在Timileia Kingley主持的线上分享中,讲述自己从UNN本科、Erasmus Mundus硕士到英国全奖博士的历程,鼓励学生主动寻找并申请全球奖学金机会。

🇺🇸 Main St Meets Wall St: $MMTLP - What Happened⁉️

Transcript

Meta Materials借壳Torchlight上市后,其本不应公开交易的系列A优先股(MMTLP)被FINRA赋予代码并在OTC交易,引发后续U3停牌与股东被困事件。

#FinanceDaily: 🇨🇦 trade war, Iran Hormuz, Apple,Novartis,LIV, Google

Transcript

加密市场正处牛市初期,比特币约79,000美元、以太坊约2,500美元持稳,Circle以4亿美元收购新加坡支付公司Tazapay,而《Clarity法案》下周程序性投票前景不明,预测市场仅五五开。

Eric 𝕏 1h 36m

Big Tech, Big Brother, Dolly Parton & Everyday Hypocrisy

Transcript

这是一个关于疫苗、政治和虚伪的讨论录音,参与者包括主播、Rachel 和 Rand,主要探讨了音乐人支持疫苗引发的个人 hypocrisy 矛盾,以及对特朗普和疫苗政策的批评。

Olive🫒 9h 53m

Wanting Reparations means 🫵🏽hate 🇺🇸? | Trump challenges Evanston Program

Transcript

特朗普支持者兼退伍军人Santino在直播中回应特朗普"挪用退伍军人医疗资金赔偿奴隶制后裔"的言论,认为这是过于宽泛的笼统概括,并批评两党都在浪费资金、制造分裂。

ReUPs™ 6h 59m

About this Space

"QMS: the vision, the testnet, the road ahead" is a trending podcast Space on X (Twitter) hosted by QMS Network, about 34m 20s long. With IFY Hub, you can download the full audio for free and use AI to auto-generate transcripts and summaries - perfect for reviewing, quoting or sharing key moments.

How to Download

  1. Click the "Download Now" button above
  2. Our system parses and downloads the audio automatically
  3. AI transcript and summary are generated after completion
  4. View or re-download anytime from your history