Quantum Computing's Weird Business Shift
45sThe intrigue of 'weird things happening' in quantum computing hooks viewers with a promise of insider knowledge and unexpected twists.
▶ Play Clip"Title promises strange happenings and delivers a critical analysis of quantum computing's hype, though it includes a sponsor segment."
The video critically examines recent developments in quantum computing, highlighting a disconnect between ambitious claims and practical reality. It explains the theoretical basis of quantum advantage, notes the disappearance of specific qubit targets from IBM's roadmap, and critiques the shift towards hybrid approaches and vague AI-related promises. The video also discusses increased government funding and questions the return on investment compared to other technologies like nuclear fusion.
Quantum computers use qubits with quantum properties. The exponential growth of states (2^n) is not unique to qubits; the advantage comes from entanglement, allowing superpositions with arbitrary weights, which enables certain calculations much faster.
IBM's earlier roadmap planned over 4,000 qubits by 2025 and scaling to 10,000+ by 2026. Their current roadmap has removed these specific qubit numbers, indicating that plans have not gone as expected.
IBM and others have shifted to hybrid approaches combining classical and quantum computers. IBM's recent 'quantum-centric supercomputing' simulation of a protein complex mostly used classical computing, with results comparable to purely classical methods.
There are increasingly bizarre claims that AI and quantum computing could deliver personalized medicine or boost AI, which the speaker dismisses as 'sprinkling AI on it' like parsley.
China has included quantum computing in its 5-year plan, and the US recently invested $2 billion into quantum computing, despite the technology having zero practical use so far. Companies like GlobalFoundries and IBM are launching quantum-specific initiatives.
IBM, Google, and Amazon use superconducting circuits as qubits, which can be printed with standard chip production methods. However, chip production is not the main problem; the challenge is using the chips in combination and finding applications.
Potential applications like quantum chemistry, material science, logistics, and finance have eroded, either because AI can solve them or because no one can find useful applications even theoretically. The only undisputed use case is breaking old encryption, which is not for the average person.
The speaker argues that billions in quantum computing funding have low expected ROI compared to nuclear fusion, which has a fraction of the funding but clearer ROI, making the quantum investment seem 'crazy'.
The video concludes that quantum computing is overhyped and underdelivering, with billions in funding despite no practical applications, while more promising technologies like nuclear fusion are underfunded.
What is the quantum advantage based on?
The quantum advantage comes from the possibility to entangle qubits, allowing superpositions with arbitrary weights, not just from combining qubits.
01:06
What was IBM's original qubit target for 2025?
IBM planned to have more than 4,000 qubits by 2025.
02:02
What is 'quantum-centric supercomputing'?
It is new speak for hybrid approaches that combine classical and quantum computers.
02:41
What is the only undisputed application for large quantum computers?
Breaking some old encryption protocols.
05:49
How much did the US government invest in quantum computing?
The US government put a total of $2 billion into quantum computing.
04:38
Quantum advantage from entanglement
Clarifies a common misconception about quantum computing's power.
01:06IBM roadmap qubit numbers disappeared
Evidence that quantum progress is not meeting original targets.
02:02US invests $2 billion in quantum
Highlights the scale of investment despite lack of practical use.
04:38Quantum ROI compared to fusion
Provocative comparison that questions funding priorities.
06:33[00:00] Quantum computing is one of the most exciting new technologies on the radar. And you all know that I've been following the progress closely for years. In the past months, weird things have been happening. And when I say weird, I don't mean quantum weird,
[00:15] where a particle goes through two slits at once. I mean business weird, where a company goes through two road maps at once. Let's have a look. But first, what's a quantum computer?
[00:27] Quantum computers perform mathematical operations with logical units that have quantum properties. The so-called quantum bits or qubits for short. I sometimes hear people say this gives quantum
[00:40] computers special power because the number of qubits grows exponentially. If you have a qubit with two states 0 and 1, then you can combine it with a second qubit to a product state. Then you
[00:53] have 0 0 ,1 1, 0 1, and 0 1. that makes four. Take a third and you have eight. For n qubits, you have 2 to the n. It indeed grows exponentially. Yes, but actually that's the case already
[01:06] for standard bits. The quantum advantage does not just come from combining the qubits, but from the possibility to entangle them. This means not only do you have 0 0, 1 1, 0 1, and 0 1, you can also
[01:20] take sums of those with arbitrary prefactors. say 0 1 + 1 0 with weights to tune. Now you see these states don't exist in a standard computer. So you have many many more states you can calculate with
[01:36] and this is basically why quantum computers can perform certain calculations much faster. Alas this advantage only becomes relevant for a large enough number of qubits somewhere in the range of
[01:50] some 100,000 to a million. One of the diagnostics I like to look at is IBM's road map to quantum computing. If you look at their road map from a few years ago, they were planning that by 2025,
[02:02] they'd have more than 4,000 qubits and by 2026, they'd be scaling to a 10,000 and up. If you look at their current road map, these qubit numbers have just disappeared. Clearly, something didn't
[02:15] quite go according to plan. Instead, IBM and others have been quietly shifting goals. First, they claimed that noisy quantum computers could have practical uses already. Unfortunately,
[02:28] these uses were nowhere to be found. Now, they use hybrid approaches that combine both conventional and quantum computers. The advantage of those is that you can't tell what the quantum part was good
[02:41] for. IBM has for example recently announced they used quantum centric supercomputing to simulate a big protein complex. Quantum centric is new speak for hybrid approaches. In this case most of
[02:56] the calculation was actually done by a classical supercomput and they say in the paper themselves that the results of the purely conventional and partly quantum computation are comparable. Don't get me wrong, this is all very interesting and I think it's cool they're doing this and so on,
[03:12] but this is still far off any practical use. When it comes to practical uses, all we have are increasingly bizarre claims like that AI and quantum computing could deliver on the promise of
[03:24] personalized medicine or that quantum computers could boost AI. When in doubt, sprinkle AI on it. It's like the parsley of business. This video was made possible by Free Cash. Free Cash is a
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[04:14] to turn that time into something valuable. Try it out yourself by using my link or scanning the QR code. Offers and bonuses may vary by country. And now back to the science news. That doesn't
[04:26] deter the governments of the world from pouring money into it. I already reported recently that China has made quantum computing part of their new 5-year plan. Now, rather predictably, the US
[04:38] government has ramped up their investments into quantum computing as well. Just last week, they put a total of $2 billion into quantum computing, which I remind you is the technology that so
[04:51] far has zero practical use. Global Foundaries promptly launched Quantum Technology Solutions, a new quantum business for the quantum industry and its pipeline of quantum innovators. IBM says
[05:06] they're building a quantum foundry for quantum wafers to power America's quantum leadership, quantum innovation, and quantum ecosystem. Wow, so much quantum. Who' not be impressed?
[05:18] What the heck is a quantum wafer, you ask? Yes, good question. IBM and Google and Amazon use superconducting circuits as qubits. One of their main benefits is that you can print them using
[05:31] standard chip production methods on the standard silicon wafers. They are not standard microchips. You need to print the wires with materials that become superconducting at low temperatures. But the production of the chips has never been the main problem. The problem is to use the chips in
[05:49] combination and find the use for them. The one application for large enough quantum computers that no one really doubts is that they could break some old encryption protocols. But this is not exactly a use case for the average person. And once the old protocols have been decrypted, that's
[06:07] that. The other use cases that you often hear, quantum chemistry, material science, logistics, and finance have all eroded one after the other. Either because AI is doing things that quantum
[06:19] computing was supposed to solve, or because no one could actually honestly find something useful to do with them, even theoretically. To me, all these billions being thrown at quantum computing
[06:33] looks that [ __ ] crazy given the low expected return on investment. This is particularly obvious if you compare it to nuclear fusion, which has a fraction of the funding but dramatically clearer
[06:45] return on investment. Yes, I'm now defending nuclear fusion as the practical option. This is how weird this has become. Don't forget to check out free cash using my link or scanning
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