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Dimitri在QTC基金会AMA中介绍了自己的科学/法律双重角色,并分享了项目从含噪量子计算向容错量子计算转型的进展,强调QTC是真实科学工作而非“教授币”。
- Dimitri拥有杜克大学学历和5年以上量子计算研究经验,加入QTC后主要负责60%科学、40%法律/执行工作。
- 项目正从NISQ时代转向容错量子计算,首个挖矿任务基于量子模拟,未来任务将适配容错时代。
- QTC在任务验证上已取得显著进展,目前正在测试区块链安全性,预计数周内可部署。
- QTC团队学术背景深厚,但与常见的“教授币”不同,其工作具有真实科学价值和创新性。
- 量子模拟仍是量子计算核心应用,QTC会关注经典可模拟性边界,用于设计新挖矿任务。
结论:建议关注QTC后续任务部署公告,并留意其向容错量子计算过渡的研究方向。
转写文本
Yeah, I mean, from my understanding,
you're like a relatively new addition, right?
You've just joined, excuse me,
you're the most recent convert to the QTC foundation
as the director, is that correct?
Yes, that's true.
I followed the project pretty closely
for about a year and I knew the founders
for several years now, but yeah,
that's, I joined efficiently, relatively,
not far though.
Yeah, excellent.
Okay, yeah, so we're already getting ahead of ourselves
because I'm deviating from the format.
But for those of us that are joining just now,
Dimitri, it would be fantastic if you could
walk us through what your involvement in QTC is,
like what it actually consists of,
as well as, you know, how you feel about the project
generally, just some really high-level stuff,
you know, tells about yourself, introduce yourself,
and give everyone the downlaw.
Yeah, sure.
So I'll start with a brief introduction.
For those who don't know.
I did my bachelor's and master's at Duke University.
I have like over five years of research experience
and quantum computing.
So besides research, I also led
a few educational student initiatives
while I was undergraded at Duke.
We can talk about that a little bit more
towards the end if anyone's curious.
Yeah, as I mentioned, I knew the QBIT coin team
for quite a while now at the MIT, the Quantum Hackathon.
And yeah, joined the QTC just when I graduated from Duke.
So like early this summer, I became like
a fisherman in the world to this.
QTC and my roles are primarily scientific.
So as I said, I'm pretty experienced
in computing research and I see a great
opportunity in QBIT coin advancing the field.
But I will also be helping out on the executive side
because you might know David is pretty involved
with executive questions for super quantum.
Daniel is involved with QTC development and maintenance.
So I think I could help a lot by just
doing a lot of legal stuff as the network grows.
Yeah.
So I was prepared to say that
when it comes to your involvement,
you're operating in a primarily legal and scientific
slash research capacity, right?
Yes, yes, that's correct.
I would say maybe 60% scientific 40% legal.
Yeah, appreciate the breakdown.
Because I think when people hear the term director
or director at a foundation, they're like,
well, what the heck does that mean, man?
I have no clue.
That seems so general.
So I appreciate you explaining it.
Yeah, just to make clear, I'm not like a bar for below.
David Daniel and Mifayou, so I'm not a sole director
of foundation by any means.
Yeah, they're all very involved.
Cool, definitely appreciate the clarity.
Now, before we get into actually discussing the questions
of which I think we picked like 10
of the many, many questions
that community members have asked,
do you have any project updates
that you can share with us?
Like what's been going on at QTC lately?
Uh, yes, sure.
So I think it would be good to frame the progress
we are making in QTC, like within broader trends
in quantum science and technology.
When I first started doing quantum computing in like around 2021,
we were still deep in the noisy intermediate scale quantum era.
And now when you look at the recent papers published
and talk to people in the industry in academia,
you see the shift towards full tolerance quantum computing.
And while our first, first mining task was related mostly
to a quantum simulation and was inspired by this NISC projects,
now we are shifting towards developing new tasks
that will be relevant for the full tolerance era
and all the updates you hear from us regarding this tasks
of course will be relevant to, to a full tolerance quantum computation.
Yeah, so as we shared two weeks ago,
you've made a significant progress on task verification.
And yeah, we expect to, yeah, I don't want to say a grid dates,
but we are getting more ready to deploy it
and hopefully this will happen in the next few weeks.
Yeah, so now we are just running extensive testing
to ensure the blockchain security.
Yeah, is that good enough for an update or anything else you want to hear?
No, certainly, I mean, thank you for sharing.
Just one thing that I would add and that one of the things
that's always kept me engaged with this project even though
I've not really done in the trenches,
I don't post in the telegram a lot.
I've been watching it from the sidelines for months and months.
And one of the reasons that I was interested in the first place
is just because the caliber of people working at QTC
is not something that you see often in the crypto space.
And whenever I see a project that has serious academic involvement,
I always start thinking like, is this a professor coin?
And for those of you that aren't familiar with that term,
a professor coin is really just a crypto project
that is spun up by prestigious founders
who are kind of like coasting on their pedigrees.
And at the end of the day, it's something that is not,
it's not usually new, it's not usually terribly impressive.
A lot of the times it's just totally arbitrary
and it gets brand recognition and is taken seriously
by people because you can look at the team and say,
okay, well, this is one of the smartest people in this field
or whatever.
QTC, from what I know about it, from what I've seen,
is distinctly not like that, right?
It's not a professor coin, it's not arbitrary.
This is real scientific work that could genuinely
be groundbreaking in the future.
And certainly it's one of the most interesting
and unique implementations of blockchain that I've seen.
Not going to go into my background too much
because I don't think it's terribly important,
but one of the things that we've always focused on
at my work is social coordination solutions.
How do we bring a lot of people together
around a serious frontier problem
and coordinate them such that we make progress
in solving or improving solutions to that problem.
And because QTC meets this criteria
to such a remarkable degree,
that informs my interest in the project.
That's why I'm here, that's why I asked to do the AMA
and we're gonna crack on with the AMA right now.
So are you ready to meet you?
We've got the question right here.
Yes, absolutely.
All right, cool.
So the first question concerns itself
with quantum simulation progress.
It says, what progress from improvements
in quantum simulation are most relevant to QBIT coin
and how can mining incentives contribute
to continued optimization over time?
Yeah, that's a great question.
So I think as everyone is aware,
along with some peer analysis applications,
like for each source of their items relevant,
quantum simulation still remains
of one of the main selling points of quantum computers.
Since the nature, the world we live in
isn't here in quantum mechanical
and simulating quantum mechanical systems classically
is often just impossible to do.
So developing new quantum simulation algorithms
still remains like the central goal
of quantum computing research,
even though the first relatively good algorithms
appeared as early as 80s and 90s.
This is still a central research area
of quantum computing research.
And until reliable, large scale quantum computers
become available and like some quantum enhanced POVs
are possible, I think for QBIT coin,
it is important to keep track of regimes
of classical similarity.
So a lot of such regimes are known,
for example, Clifford circuits and tensor network states
can be efficiently simulated classically.
And the first task that is deployed in QTC right now
exploits the fact that small scale systems
can actually be efficiently and exactly simulated
on classical computers.
So when developing future tasks related to quantum simulation,
we will look at other modes of classical similarity
and see how they can be suitable for next tasks.
So it might turn out that none are actually suitable
for mining tasks, but I doubt that's the case,
but yeah, so basically the next research
in deploying quantum simulation related tasks
will require just going through this medallys
in which some useful quantum simulation
can actually be done on a network of classical computers.
And as I said, this is an active area of research
in just I think like a month ago or a few weeks ago,
there was a new regime of quantum simulation found
that can be efficiently run on classical devices.
Even though this field was like advancing for 30, 40 years now,
those states that can be less simulated were still not known.
And we expect that in the future more and more papers
like this will appear.
So yeah, we are keeping an eye on that.
And yeah.
Very interesting and potentially promising.
It sounds like progress is being made very fast in this field
and there are going to be some future breakthroughs
to look forward to.
Maybe some even that'll involve QTC.
Now, I'm going to try to keep my contact or excuse me,
my comments to a minimum just because the density of answer
that Dimitri is going to provide is going to be quite significant.
I'm not an expert in quantum computing myself.
I'm just a guy here that's helping with the AMA.
So I'm going to let Dimitri do most of the talking
and because we do have a lot of questions,
I'm going to keep it moving along.
All right, on to the next one,
it's about super dense consensus with the purposes.
So what is the purpose, what excuse me?
What is super dense consensus designed to add
beyond the initial QPOW quantum simulation task?
Yeah.
So as I mentioned in the introduction,
the quantum industry is really focused on showing first,
large or at least medium scale error-corrected experiments.
So our second task is that we'll be a part of super dense consensus
and we'll be revolving around quantum error correction.
And more broadly, I think you all know that quantum science
is extremely interdisciplinary and super dense consensus
is meant to reflect on that.
So there are a lot of problems in math and computer science
and physics that go into advancing quantum computing industry.
And so just focusing on a one task for our blockchain,
for our blockchain is actually where it would be very inefficient
and very, would not reflect what actually happens
in quantum research.
So to this end, we aim at deploying several tasks
to be solved at the same time.
Yeah, and as I also mentioned,
the current task is really like a niche oriented,
niche stands for noisy intermediate scale quantum.
And all future tasks we planned for them to be focused on
the full-tolerant quantum computing,
not noisy intermediate scale one.
And this actually opens for us
the avenue of new, completely unique tasks
that are not relevant to NISC,
but are really relevant to error corrected hardware.
Does that answer the question?
It does indeed, Dimitri, thank you for sharing.
Moving swiftly along.
So we've got question number six here,
future research workloads.
It says over the longer term,
what types of research driven computational tasks
could fit the SDC model alongside quantum simulation
and what criteria would a task need to meet?
So I guess it's asking more or less about
the variance that we're going to see in tasks.
So this is actually an amazing question.
Like exactly the right one to ask
because that's like this criteria is what we are
thinking about daily, I would say.
So the obvious criteria is that the task has to be asymmetric
by that I mean that it should be hard to perform,
but easy to verify.
And this is why task one is limited
to only small scale simulation.
Like the large ones are just impossible
to verify in classical devices.
And the interesting trade-offs in marriage
when you require the task to be useful,
that's what we are working on right now.
What we encountered while looking for the second task
is that it is usually the case that if the result
is easy to verify, then it's no longer hard for
the miners to perform.
And this is because a lot of practical workloads
and quantum computing are intentionally designed this way.
So one example I can give is this quantum LDPC codes.
Those who don't know, it stands for
quantum low density parity check codes.
They are widely believed to be deployed
on real quantum hardware in the next few years.
So those are specifically designed in such a way
that decoding errors is easy.
Otherwise, using these codes would just be
impossible in practice.
So for us, this means that the task of decoding
such codes is not suitable for a blockchain
because this task is easy just by design
because researchers want it to be easy.
And for me personally, it seems like there's no way
around using generic instances of the problems.
So random instances rather than some structured,
some like...
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