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April 19, 2025 - Info Warrior - Jason Bermas
47:45
Quantum Collusion And A Broken Blockchain?
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Time Text
We have developed speed, but we have shut ourselves in.
Machinery that gives abundance has left us in want.
We think too much and feel too little.
More than machinery, we need humanity.
We know the air is unfit to breathe and our food is unfit to eat, as if that's the way it's supposed to be.
We know things are bad, worse than bad.
They're crazy.
Silence! The great and powerful Oz knows why you have come.
You've got to say, "I'm a human being!" God damn it!
My life has value!
You have meddled with the primal forces of nature!
Don't give yourselves to brutes, men who despise you, enslave you, who regiment your lives, tell you what to do, what to think, or what to feel, who drill you, diet you, treat you like cattle, use you as cannon fodder.
Don't give yourselves to these unnatural men, machine men with machine minds and machine hearts.
Yeah, thank you.
You're beautiful.
I love you.
Yes. You're beautiful.
Thank you.
Ha-ha. It's showtime.
It's time to buckle up for making sense of the madness.
And who loves you and who do you love?
Everybody, Jason Bermas here, and today we are going to be talking quantum computing, hope, hell, or hype.
Probably a bit of each, right?
Because when we're talking about technologies, there is that double-edged sword conundrum.
However, when I talk quantum computing, I often talk about the fact that, number one, This idea that quantum computing and quantum mechanics is accessing infinite universes,
the multiverse, if you will, that is just as real as you and I am producing quote-unquote you and I in a multitude, an infinite, if you will, type of manner, I certainly do not buy into that.
And honestly, that was really one of the high points of my last discussion with Dr. Robert Malone and his wife when he talked about NASA and their push of this multiverse theory via quantum computing.
And a lot of people do not understand.
How deeply involved NASA is in quantum computing and artificial intelligence.
And as we're going to show you in this video, you know, number one, we have talked about the balloon programs with NASA.
I just want to be extremely clear about that.
We've shown you, I mean, they have a multitude of websites where you see these large-scale balloons.
That are taking up satellite equipment that are below low Earth orbit.
100%. That's a real thing.
A lot of people point out that NASA is the largest consumer of quote-unquote helium.
That helium is also used in quantum computing.
Okay? Because when you are trying to...
Now, don't get me wrong.
There are new types of quantum computers.
That no longer have to be kept at this temperature in order to work.
But I would argue whatever we're seeing and is going to be coming commercialized is a small microcosm, if you will, of the technology that has already been developed.
So I think there are also a multitude of black programs out there that are utilizing the helium aspects.
Of this for quantum computing to cool it.
So there's actually quite a few stories that we're going to get into before we do this watch along with a CNBC piece that recently came out asking the question, when are we going to have a viable quantum computer?
And the first story that we're going to focus on when we get into all this is what does that mean for the blockchain?
Since the Bitcoin inception, and remember, we're relatively new.
Bitcoin, it's just about to get its driver's license, if you will, in this country.
Just around 16 years old or so, it's a teenager.
I've always said if something is digital, there will be a quote-unquote way to hack it eventually.
Now, with the largest supercomputers, that may not have been possible.
But with cryptography, quantum, That may, in fact, be a real thing.
And can you imagine the type of economic crisis that would occur?
And it would be a large-scale one even now.
Forget about 5, 10 years in the future when more and more nation-states adopt Bitcoin because it's happening at a rapid pace.
Now, remember, there are other competitors out there.
There's a multitude of different technologies via the blockchain.
Think about how many quote-unquote tokens run on the Ethereum network.
And if you actually have a viable quantum computer that can actually decrypt these things, and that's up in the air too.
I'm a dummy.
I don't know if that's real or not.
But there's a new bounty out there.
And I'm going to also talk about the paradox of that bounty.
Because right now there's a bounty to...
Get into the cryptography of Bitcoin and the prize is quote-unquote one Bitcoin.
Now, you know, it seems to me that they're doing this as a way to create security, right?
Like while you have quantum cryptography that's going to decrypt, you also have quantum encryption that maybe this blockchain technology can move to.
I guess we're going to see.
It's all up in the air.
We're also going to be talking about a new CERN-like facility that is much larger.
One of those was actually announced almost a decade ago in 2017.
And so much more.
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All right.
Quantum Computing Group offers one Bitcoin to whoever breaks Bitcoin's cryptographic key.
Now... We're going to read some of this.
When you see this, it's in a toy box.
They're claiming they're not trying to disrupt the system but protect it.
My question is, if someone actually could do that and put these accounts at risk or siphon Bitcoin, one Bitcoin...
No matter what its value is today, I think it's somewhere in the $80,000 plus range and obviously has went over $100K at this point and eventually will more than likely return there.
Yeah, it's a decent bounty, but not if you can just siphon a bunch of Bitcoins.
So here it is.
Project 11 has launched the QDay prize, offering one Bitcoin to the first team to break an elliptic curve cryptographic key using a quantum computer.
See that?
And using Shor's algorithm on that computer.
Shor's algorithm is a quantum computing method that efficiently factors large numbers of their prime computers, theoretically allowing quantum computers to break cryptographic algorithms like RSA and elliptic curve cryptography used in Bitcoin and other blockchain networks.
Alright? The mission, of course, quote-unquote, is to protect The over 500 billion, 600 million BTC out there.
Huh. How about that?
So, is this coming?
Is it going to be there?
I don't know.
I don't know.
I mean, I guess it depends on how mainline, streamlined, and quickly this technology gets into the public arena.
Because then, if it does happen, you can kind of blame whoever.
Right? You don't want it just to be governments.
More than likely.
And I'm not even saying it would be individuals.
But you never know.
We're coming into that quote-unquote quantum artificial intelligence age.
So no technical obstacles to new giant particle collider in Europe.
CERN. Look at this thing.
Boom. Big time.
It's a biggins.
See how big that thing is?
They're planning to do that, put that in a mountain?
And number one, this just shows you what a joke overpopulation is.
Geographically, Europe, compared to its actual populace, has a multitude of these areas.
Just like the United States, a multitude of rural areas.
And I've always talked about CERN in the sense of, number one, I always believed that...
We, the United States, have done similar things elsewhere, again, in black sites before partaking in this international project.
I do not think this is the only particle accelerator on the planet, but there are global narratives, partnerships, treaties.
Clearly, with this research, there are implications of different energy propulsion weapon systems.
Okay? So...
That's, you know, I just don't buy into, oh, we want to find the God particle.
And I mean, how many times have they told us they found the God particle?
The Higgs boson.
So Europe's CERN laboratory has said on Monday that a detailed analysis revealed no technical obstacles to building the world's biggest particle collider, even as critics took issue with the Pharaonic $17 billion project.
The Future Circular Collider project is essentially for ensuring that Europe maintains its global leadership in fundamental.
Physics CERN Chief Fabiola Giannotti told the AFP.
There is real competition from China in particular, she cautioned, hailing that the giant FCC project is absolutely on the good track and urging states to release the funding needed to move forward.
And that is another aspect.
You wonder what and how Asia has done in this regard, right?
I don't know.
Without the type of U.S. technology and cooperation, even with the best spy craft, that they're going to be able to duplicate this.
They've got the landmass.
They've got the people.
Okay? So, the Large Hadron Collider apparently getting a bigger one.
We stepped inside IQM's Quantum Lab to witness the new frontier in computing.
And really, that's what this main piece, when we do the CNBC watch-along.
In a moment, you're going to look at some of these chips that are being developed, etc.
And if the markets have anything to say about it, I think there is going to be a huge jump.
So this is at the end of December, about four or five months ago, when D-Wave stock jumped 500%.
Now, this is quantum annealing.
This is a Giordi Rose and others project.
But remember, this had big, big, big backing by big money, big banks, Goldman Sachs among them.
And obviously, D-Wave was initially what was utilized with the Google-NASA partnership, at least on a public level.
And that caused them all the way back in 2019 to claim quantum supremacy.
When you type in NASA and Google, this is the first thing that comes up.
It's went very dark after that.
This lab, Q-U-A-I-L, their artificial intelligence laboratory, obviously is huge on quantum computing.
And that's another thing people don't get.
That AI and quantum computing, we talk a lot about AI.
A lot of people are talking about it.
You'd only hear whispers of quantum computing.
Google is a military industrial complex extension.
Yeah, I get it.
You're watching it on YouTube, which is a subsidiary of that.
Well, that's part of the narrative control.
I mean, look, 70 plus thousand subscribers.
Middle of the afternoon.
I get barely one in a thousand people watching live.
Gotta love those algorithms.
Gotta love that AI.
Gotta love that quantum computing.
And remember, when I talk about narrative management, the big issue that we started with is this ridiculous narrative management that what?
That there's a multiverse.
We have parallel universes.
And why do I take hot steaming dumps all over that?
Because again, just like transhumanism, The transgender movement, it separates you from reality and your biology.
Okay? The reality is that yes, we are flesh and blood biological creatures with some type of not only an electric but a spiritual element to us.
We have free will.
We make our own decisions.
When you get into the multiverse, Free will isn't really a thing because everything happens.
And they are trying to degrade you, not just from the multiverse, but into a metaverse of ones and zeros.
And I know that's hard for people to comprehend.
And I get it.
It's fun to watch Marvel movies.
And, you know, this science fiction schtick has been around since I'm a kid.
And it's fast.
Oh, I get to go to the parallel universe where everything's a little bit different, right?
And I love Rick and Morty.
It's a great show.
It's got some really deep, heavy political and quote-unquote spiritual thought in it, right?
I get it.
I get where people are coming from on that.
But it's not real.
Okay? It's not real.
That's fiction.
That's fables.
And they're trying to, again, extend that non-reality into reality so they can subvert what we are.
And what we should be concentrating on.
That we can and do great things.
That we are, in fact, powerful.
That if we want to, and we think and work hard enough, we can manifest great things.
Such as quantum computers.
I know.
It's a whole paradox.
Alright. Once again, guys, thumbs it up, subscribe and share.
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Let's get into it.
Let's find out from CNBC when they think we will have a viable commercial quantum computer.
This is a chip manufacturing tool.
This is the biggest molecular beam epitaxy tool in the world, as far as we know.
And this tool is making a very special material that we need to realize any kind of useful quantum computer.
California-based startup SciQuantum is one of the many companies working to make large-scale quantum computing a reality.
We are inside the Stanford Lillier Accelerator cryoplant that makes liquid helium.
And Psyconom is using a little bit of that helium.
And what we do is we load chips into this cabinet to cool those chips to very low temperature.
So this is minus 270 degrees Celsius.
It's about 2.3 Kelvin base temperature, which is the same temperature as deep space.
So let's just stop right there.
Number one, that's the helium I was talking about.
So essential in quantum computing.
I want to go back to the very first statement that you heard.
This is the largest facility that we know of.
That we know of.
Clearly, black projects, black programs, quantum computing is much farther along than we know.
And so is, of course, artificial...
This is the commercialized view.
This is where they take the technology they've worked on for a very, very long time.
They start putting it into the public arena and letting these private companies explore on it and sometimes expand on what it could do under the conditions and circumstances in those black projects.
Quantum computers promise to solve problems that are impossible for traditional computers with the potential to transform entire sectors, including material science, pharmaceutical research, and financial services.
Investors have also been bullish about the technology's future, with some quantum computing stocks rallying over 1,000% in 2024.
If investors are looking for the next big jackpot, it sounds like they're really focusing attention on quantum computing stocks.
Excitement around quantum computing reached a fever pitch after Google announced its Willow quantum chip at the end of last year.
By our best estimates, a calculation that takes Willow under five minutes would take the fastest supercomputer 10 to the 25 years, or a timescale way longer than the age of the universe.
Again, when these things are said or put out there, And he says, by our estimations, okay, what does that exactly mean?
And then they go into the timeline of the known universe.
They don't know the timeline of the known universe.
I'm sorry.
There's just no measurement of radio waves, radiation, etc., in my opinion, that you get to say, yep, that's when the universe started.
That's ridiculous.
Okay? So already you have a little magic and hokum with these initial statements.
I just have to put that out there.
Since then, a slew of other announcements from other tech giants have sustained that hype around and investment in the technology.
Microsoft announcing what it calls a quantum computer breakthrough with its new Mayowana One chip.
Amazon jumping into the quantum computing race with its first chip.
We're going to open a quantum research lab in Boston.
It will likely be the most advanced accelerated computing, hybrid quantum computing research lab in the world.
Intel and IBM are also working to develop quantum technology, as are governments and numerous startups.
The United Nations has even proclaimed 2025 as the International Year of Quantum Science.
It's a new class of computation that I think can dramatically change most aspects of industry, commerce and science.
By some estimates, greater than 50 billion dollars have been pledged to quantum technologies, of which quantum computing is one, by governments around the world.
Despite massive advancements in the field in recent years, right now these quantum computers are not able to solve the big real-world problems.
It's still more theoretical.
CNBC visited one Silicon Valley startup to find out how close we are to having a useful quantum computer and spoke to experts about the major challenges this tech still faces as engineers work to transition it from lab experimentation to commercial viability.
So this is like the big question because so far it's been a lot of people that are quote-unquote super academically smart telling us what this is without any type of a real viable commercial product or even demonstration of a problem that matters,
right? And I would imagine that they have actually worked a lot of this out behind the scenes.
I mean, possibly with material that is not publicly known or in the academic or research arena.
Remember, large parts of physics were classified and erased from the research arena via our Central Intelligence Agency.
The theory of quantum computing has been around since the 1980s when physicists first suggested that quantum mechanics could be used for computation.
By taking advantage of quantum physics, quantum computers are able to produce huge leaps in processing power and solve problems that conventional computers simply cannot manage.
There are two really important special quantum mechanical properties that give quantum computers an advantage on classical computers in solving certain types of problems.
The first is called superposition.
The second is entanglement.
Unlike classical computers, which store information in bits, with each bit representing either a one or a zero, quantum computers use quantum bits or qubits, which can exist in superposition of one and zero, meaning they hold multiple possibilities simultaneously.
Qubits can also be entangled where the state of one instantaneously affects the other, no matter the distance.
These properties enable quantum computers to solve certain types of problems exponentially faster than classical systems.
But what are those problems?
Unlike classical computers, quantum computers can directly simulate that behavior.
And that allows us to design things instead of just discover things.
All our drugs, we've gone into the Amazon, we've pulled bark off trees, we've seen how many mice die and we've tried to make.
An oncology drug just by guessing and trying to optimize around stuff we discover.
But being able to design materials directly, to be able to design chemistry, drugs, catalysts, requires a tool where we can simulate nature, and quantum computers are the first ones that can actually do that.
But again, first of all, how are they simulating nature?
Give me an example of that.
And you noticed the cancer fear card right out of the gates.
That somehow, man, has been just so damn primitive that when we go out into the jungle, right, and we go into the rainforests, yes, yes, we're much like Neanderthals, we're just guessing with our drugs.
Now, we have a long history of utilizing these things for medicine.
And then we have a multitude of ways to do diagnostics and take what would be a hypothesis and use the scientific method.
Just pointing that out.
And if we're going to program AI in a certain manner to suppress that, and we've already seen suppression of so much and so much narrative-driven stuff, again, I remain skeptical on what all this quantum stuff is actually.
Computers could also help with agriculture.
The way fertilizer is produced today comes at a really steep cost for companies.
They're spending about $100 to $300 billion a year and for the environment.
Three to five percent of the world's natural gas is annually used for fertilizer synthesis.
Scientists today know how to use computers in order to find a much more energy efficient alternative.
The problem...
Would it take even the fastest supercomputer 800,000 years to simulate all the maze-like molecular interactions of the key catalyst?
With a quantum computer, it could be less than 24 hours.
Would it?
Because then why not do it?
And once again, when you look at these things and they're talking about climate and helping, have they been helping?
Has there been a whole lot of help?
From the establishment in any of these, in the field of health, in the field of well-being.
And that's why, not only I think is there a lot of hype surrounding it, the hope that's out there is to get people to embrace it so they can bring in their own hell.
You know, you talk about these AI data centers.
And these companies are talking about building mini nuclear facilities to power them.
Why aren't there mini nuclear facilities to lower my power bill?
To help with human beings.
But quantum computers will not replace conventional computers for everything.
Some sectors could benefit more from the technology than others.
It won't replace AI.
They are complementary technologies.
Anything that is large data and small computation is not an advantage by a quantum machine.
Optimization problems, physics problems, how we design fusion reactors, how we design superconductors, how we explore this incredible design space, think of the most extraordinary applications.
Analysts estimate that the four industries likely to see the earliest economic impact from quantum computing are mobility, chemicals, financial services, and life sciences, which stand to gain up to $2 trillion in value by 2035.
And again, do I want these people messing with my food?
If I had my way, we would be going back to heirloom seeds everywhere.
Everywhere. The genetic modification that has been done to our food, and not only our food, but the biology surrounding our food at this point for what's being sprayed, from what's being introduced as genetically modified organisms,
a.k.a.
mosquitoes at this point, is frightening.
ZyQuantum says it's already working with a number of enterprise partners to experiment with potential use cases.
We're working with a bunch of different companies, so Böhringer Ingelheim, for instance, a large European pharmaceutical company, Mercedes-Benz, Mitsubishi Chemical, and various other Fortune 500 companies as customers and partners.
They're working with us today with the hope that a quantum computer will allow them to design drugs, materials, fuels, catalysts and really give them a new level of mastery over chemistry and physics that they hope will give them a profound competitive advantage in these areas.
Ironically, the same quantum properties that make quantum computers really good at processing complex problems also make the technology extremely difficult to work with.
Unlike classical bits, which are physically stable and robust, qubits exist in highly delicate quantum states, and these states are easily perturbed by even the smallest interactions with the external environment, things like thermal noise, electromagnetic interference, vibrations,
acoustic noise.
The other challenge is that quantum superposition is ephemeral.
So superposition allows qubits to represent multiple states at once, but maintaining this state requires precise isolation Think of coherence as a way of keeping a quantum system stable so that it can run calculations.
The whole difficulty of constructing a quantum computer is making something that, on the one hand, cannot interact with anything, right?
On the other hand, you can control it.
But controlling it means it's interacting with something, right?
So it's like this very, very difficult engineering problem.
Quantum companies have been experimenting with different quantum technologies, each with its own drawbacks and benefits.
There are superconducting qubits, there are neutral atom qubits, there are trapped ion qubits, and then there are other qubits which you see a little bit less industrially.
Google, IBM, Amazon, and Regetti computing are all betting on superconducting qubits, while Xanadu and PsiQuantum use photonic qubits.
In February, Microsoft announced that it had created a quantum computing chip, Majorana 1. Before we get into Majorana 1, and we have covered this before, I want people to think about these competitions,
if you will, like VHS and Beta, only we're not even down to the commercial level of that technology.
You could even go back.
As far as closed and open circuit technology for electricity.
And now look at our closed circuit system.
It is totally dominated.
Was it better than the open circuit system?
It uses a new type of qubit known as a topological qubit.
The technology required the creation of a new state of matter that could make quantum computers more resilient to noise and shorten the technology's development timeline from decades to years.
The sensitivity of qubits to external environmental factors also makes quantum systems very prone to error.
For many qubit technologies, managing this error has meant having to keep quantum chips at extremely low temperatures.
The icon of quantum computing is the chandelier.
That system is all about cooling these chips to very, very low temperatures.
And so they have to run deep space temperature, liquid helium temperature, very, very cold.
Errors are also mitigated through the use of special algorithms that allow experts to correct errors faster than the machine can make them.
This is something Google demonstrated with its Willow chip.
Willowchip effectively operates below what's called the surface code threshold.
Historically, when technology providers have added more qubits to the system, the overall system has a higher total error rate.
What Google demonstrated is that with their error correcting code, adding more qubits to the system actually reduces the overall system error rate, and therefore, there's a path to scaling with more and more qubits.
Peter Barrett, whose venture capital firm is a major investor in SciQuantum, says that while Google and the other tech giants have made huge strides in quantum technology, he believes quantum computers based on photonic qubits, like the ones used by SciQuantum, are more practical to scale.
So again, this is a big question.
There also is the question, again, of the stuff that gets commercially viable, which who knows, maybe it's this photonic qubit, and the stuff that is utilized behind closed doors by the military industrial complex.
And there's probably a mix of both of those things.
You certainly see, as they talked about, the heavy, heavy investments out there.
Willow is the best quantum computer on the planet at the moment, but...
The machine PsyQuantum is making is 10,000 times the size of Willow.
And the nice thing about photons is that they're much, much easier to keep isolated, and it's much easier to maintain the quantum state.
And taking advantage of the fact that we have trillions of dollars invested in silicon photonics, in fiber optic cables, photons become a really strong candidate for building large machines, and their physics is well understood.
Part of that strategy, SciQuantum is also moving away from the classic chandelier design of quantum computers in favor of a server rack design that you'd typically find in a data center.
Generally, the approach that we have here at SciQuantum is that as much as possible, we want to build the quantum computer like a conventional computer as opposed to a science experiment.
And so we use regular semiconductor fabs, pretty normal chips.
We use packaging that would be...
Familiar to somebody from the semiconductor industry.
In February, CyQuantum unveiled Omega, a quantum photonic chip that the company says contains all the components necessary to build utility-scale quantum computing.
The chips are manufactured by New York-based Global Foundries.
Now, let me just stop it here for a second.
Here we are, a little over halfway through the piece.
And although they've explained the same thing...
That I've been talking about for a decade plus with the zeros and ones and superposition and tanglement, etc.
and what that means or what people says it means.
No one has shown a real-world use for this yet.
Just not one real-world example.
And I get it, the optimization problems.
Now, my question would be, is this directly incorporating with large language models?
Because we see those in real time in what they're doing.
And they're running on a data set.
Right? So it's just, while I watch these things, I just kind of got to put my hand on my head a little bit and be like, all right, but show me something it can actually do.
Right? I get it.
It's going to get better food, more fuel.
These are the same promises of AI.
And I get it.
They're hand in glove.
But you're not.
I mean, even in this facility where you have standardized and somewhat normalized systems that look and work in a more traditional manner, what does that mean for the homestead or even a business?
Another major barrier to scaling quantum computers is the lack of a highly technical workforce needed to design
Program and run quantum systems.
Currently, the talent pool is just far too small to meet the demands of the growing industry.
One way to overcome this talent problem may be by using more computers and leaning on artificial intelligence.
Already, we're using large language models.
IBM, I think, was the first company to pioneer this in order to actually supplement developer knowledge bases and allow LLMs to program quantum computers, which I think will drastically alleviate the workforce upskilling challenge in quantum
computers.
So, I mean, right there, you're almost talking about the chicken before the egg, right?
When you're talking about AIs programming, LLMs, aka AIs, programming quantum computers.
Well, then what is the quantum computer exactly doing?
Now, I understand the control mechanisms, etc., but isn't the quantum computer trying to be the heart and soul of the LLMs and their processing of information?
I mean, you talk about paradoxical stuff.
I guess that's exactly what we're into when we're into the quantum realm.
But it goes both ways.
AI development could also benefit from quantum computers.
There are great AI tools that can help with designing some aspects of quantum computers.
And once you have a quantum computer, you can produce training data to train AIs.
The potential of quantum computers to solve some of the world's hardest problems, like coming up with new drugs or materials for more efficient electric batteries, has many people excited.
But it's challenges like this that have led some of the world's most influential technology pioneers to temper expectations about just how close we are to a useful quantum computer.
If you kind of said 15 years for very useful quantum computers, that would probably be on the early side.
If you said 30 is probably on the late side.
But if you picked 20, I think a whole bunch of us would believe it.
Following Wong's remarks, the market was quick to react.
Shares of quantum computing stocks having a volatile start to the year after a steep run up in late 2024.
Many are now down double digits in 2025 and concerns about just how soon the technology might be commercially viable.
We agree with Jensen, of course, that quantum computing is not here yet.
And really the basis for his comments is that today there are small quantum processors.
Google's system, for instance, that's about a hundred qubit system.
The general consensus is that you need about a million qubits to really deliver on these world-changing applications.
At NVIDIA's annual software developer conference in March, Wang gave quantum experts a chance to prove his timeline wrong.
This is the first event in history where a company CEO invites all of the guests to explain why he was wrong.
We think of ourselves as like 10 years where you were 10 years ago.
It's going to be another 10 to 15 years to get to where NVIDIA and all the other giants are.
But the complexity of quantum...
All right, well, let's talk about that for a second, because I know a little bit about NVIDIA, and I've been watching that.
That CEO for some time now, you know, he's pretty interesting.
I get it.
He's the hip leather jacket guy.
You know, NVIDIA for me, over a decade ago...
It was essential because if you wanted to edit video outside of the world of mac and cheese, a.k.a.
Macintosh, Apple, you were running on a video card nine times out of ten.
They had something called CudaCores built into them very early on that worked well with Adobe Premiere and still do.
Now, that market has gone up exponentially as there are so many people.
That have prosumer setups like myself.
Then you have gaming has gone through the roof via PC on things like Steam.
NVIDIA, although they have the AMD competition, has gone through the roof.
And then crypto mining, Bitcoin, was a huge push for that technology.
And now we're getting integrated into actual artificial intelligence, the digital twinning.
Of different types of facilities.
So if you have a place that is producing, say, cars and automation, you are building that factory, if you will, virtually first.
And they are running in tandem together, usually through a cloud server of NVIDIA technology.
All right, let's continue on.
By the way, thumbs it up, huh?
We got over 100 watching.
Can we get 75 thumbs up?
We'd appreciate it.
Computing has generated controversy around some of the achievements in the field.
For example, some experts and competitors are questioning Microsoft's topological qubits breakthrough that the company said would help it build a working quantum computer in a matter of years.
Microsoft's research published in Nature in February, though, the company said in an emailed statement that it submitted the paper almost a year prior.
And during that time, Microsoft has made, quote, tremendous progress.
The exotic physics that Microsoft is pursuing is incredibly exciting, but it's a step along a journey that will ultimately yield something useful, but it's unclear when.
Microsoft said discourse and skepticism are part of the scientific process and that additional data will be shared in the coming weeks.
Although quantum computing may not be ready for primetime today, tangible progress is being made.
I do think there are going to be results this year that hint towards real quantum utility for commercial applications.
Technology that started off as a quantum computing modality is now being used to make ordinary MRI machines 100,000 times more sensitive and allow them to directly image cancer metabolism.
Technologies to see two kilometers underground to find the critical minerals for the energy transformation, that's already happened.
And then the prize of...
So again, think about this.
You know, we talk about all of these quote-unquote rare earth minerals, but they're banking on powering it by the rare earth minerals that the AI and the quantum computer is going to find.
Come on.
Come on now.
Come on now.
I mean, again, yes, I think that there is going to be an uptick in these rare earth minerals just like lithium.
And obviously, batteries have gone through the roof.
Gold, silver, both big semiconductors.
We've seen what's happened to copper over the years, right?
But once again, I think that these promises, they're over-promises, as they always do, to get people on board with their agenda, which unfortunately, in this case, if the predator class has their way,
are command and control, the regimentation not only of all human beings, but all biological life on the planet.
The really big machines, the million-qubit machines, we know is only a handful of you.
Public interest in quantum technology is growing.
The number of quantum computing proof-of-concept enterprise projects surged by 50% between 2022 and 2024 to over 150 active projects.
Consulting firm Booz Allen, Airbus Ventures, and Bosch Ventures have all invested in quantum computers.
Meanwhile, Shadbolt says Illinois is investing $500 million to construct a quantum computing campus in Chicago, of which SciQuantum will be the anchor tenant.
And, you know, that is in my neck of the woods.
It's about a two and a half hour drive.
And look, that's not the only facility, right?
We have that AI facility by Meta.
I think it's in, what was it?
It was Louisiana or Kentucky.
I think it was Kentucky, but I get things wrong, folks.
SciQuantum has also received $620 million from the Australian and Queensland governments to build a utility-scale quantum computer in Brisbane, which the company says will be operational by the end of 2027.
Experts say investing now is a smart move.
When quantum computers reach quantum advantage, which is effectively the period in which quantum computers outperform classical computers at important real-world problems, it'll be much, much harder to get your hands on a quantum computer unless you're developing partnerships with the major providers right now.
Plus, Lungioni adds quantum computers don't need to be perfect to be useful.
Practical implications for classical computers before classical computers were error corrected.
Whether computers were doing atomic simulations for the Manhattan Project, they were doing important work for the Census Bureau.
We think that there's a potential for the same thing in quantum computing.
And candidly, we're even looking to the next 12 to 18 months for the announcement of the first example of industrial quantum advantage that would come before error correction.
And then 2029 is when we think the real inflection could come in terms of massive value creation for end users in the right industry.
Shadbolt is also optimistic.
You know, when I arrived in Silicon Valley eight years ago, a lot of people, really serious technical people, told me that self-driving cars would never happen in my lifetime.
Too complicated, too difficult.
And of course now every other car that we see in San Francisco is a Waymo.
And so quantum computing has a similar sort of trajectory.
What we're seeing now is a big leap to go from the small systems that we have today to the very, very large systems that are required for any kind of useful application.
So there you go, folks.
Quantum computers, what do you think?
Hope? Hype?
Or hell.
Let me know in the comment section down below.
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