It is very irritating when people complain here that it's not faster than classical or other such complaints.
Please, it is still a research project, it's not like a regular computer just faster, it is novel research.
Regarding the quantum side, I would love to know if by programmable qubit are they referring to an error corrected qubit or just one where gates can be applied.
I suspect it means error corrected qubits. I was wondering if there was work being done on algorithms that are noise resistant and as such can take advantage of the raw qubit count instead of the error corrected qubit count.
I would love to work in this area but I think it's all research at the moment. It's really interesting, how it actually works, not just the hand wavy abstractions.
Programmable qubit is almost certainly referring to one where gates can be applied, non-error-corrected. The error correction overhead would be much larger than 4-to-1.
Although note, the above is if you are referring to error correction in the traditional sense of error correcting codes. According to Ars Technica's article [1], the non-programmable qubits are being used for leakage removal: coupling to the computational/programmable qubits and stabilizing them, but not being used for any computation themselves. This is far from error correcting codes in the mathematical sense, but it does have a similar purpose of reducing noise.
For what you are wondering about in your penultimate sentence is possible for any algorithms, I am not sure, but it's a very good question. However, I know that for general algorithms, there is a range of error reduction techniques you can use short of full QEC, IBM has a decent blog post about them [2]. Usually, the trade-off is error reduction vs increased number of shots and post-processing (so vs time, not space).
It’s healthier to think of neither depth nor speed. The space of problems best suited for quantum computers is altogether orthogonal to those dimensions.
It's better to think of QPUs as highly specialized coprocessors that do certain things really well. You would only every really use them for problems they're good at. Like ALU vs FPU vs GPU.
IBM's huge, modular dilution fridge is an interesting idea for superconducting plasmon qubits [1]. I really can't help but wonder what the power consumption will be for both it at datacentre scale and also what a fundamental barrier to anything remotely "at home" that is. I've worked with dil fridges a lot. They're neither cheap nor commonplace and famously most of the world's helium has a nasty habit of leaving at the top of the atmosphere (very marginally cooling it!) as it is so light, and the sources of helium are mostly underground and collected by machines blown up in the middle east or russia recently, as a byproduct of oil and gas extraction.
I keep wondering how long before funding for quantum computer development dries up due to lack of significant progress. I mean, we've been hearing stories about "breakthroughs" in the field for over three decades now and still these machines can't do anything useful. Some companies are even selling quantum machines (D-Wave) and its customers are still trying to figure out what to do with them.
Perhaps, but it's highly unlikely it can outperform classical machines. If it actually had that capability, it would be front and center in the announcement.
Sounds like our current state, where we're in a superposition of being completely cooked and ushering in a new era of utopian bliss until the AI wavefunction collapses.
Is this new processor capable of achieving reliable and practically useful results beyond the capabilities of classical machines? The answer is almost certainly, no.
Yes, and this was true starting with IBM Boston. I think anything before Dec 2025 could be picked apart as too noisy in particular due to crosstalk problems, for example on Pittsburgh. From the IBM Boston QPU build to the R2s, the fidelity allows for compute beyond what classical computers can do for quantum applications.
As a pure research project with possible implications in the indefinite future, this is very interesting.
The problem is that the US approach to funding research has backed itself into a corner. Every research advance in a technologically relevant industry has to be presented as though a commercial product is just around the corner, because no-one will pay for the research otherwise.
Eventually, though, the market will get tired of the endless unfulfilled projections and you'll get a "quantum winter".
It is very irritating when people complain here that it's not faster than classical or other such complaints.
Please, it is still a research project, it's not like a regular computer just faster, it is novel research.
Regarding the quantum side, I would love to know if by programmable qubit are they referring to an error corrected qubit or just one where gates can be applied.
I suspect it means error corrected qubits. I was wondering if there was work being done on algorithms that are noise resistant and as such can take advantage of the raw qubit count instead of the error corrected qubit count.
I would love to work in this area but I think it's all research at the moment. It's really interesting, how it actually works, not just the hand wavy abstractions.
Programmable qubit is almost certainly referring to one where gates can be applied, non-error-corrected. The error correction overhead would be much larger than 4-to-1.
Although note, the above is if you are referring to error correction in the traditional sense of error correcting codes. According to Ars Technica's article [1], the non-programmable qubits are being used for leakage removal: coupling to the computational/programmable qubits and stabilizing them, but not being used for any computation themselves. This is far from error correcting codes in the mathematical sense, but it does have a similar purpose of reducing noise.
For what you are wondering about in your penultimate sentence is possible for any algorithms, I am not sure, but it's a very good question. However, I know that for general algorithms, there is a range of error reduction techniques you can use short of full QEC, IBM has a decent blog post about them [2]. Usually, the trade-off is error reduction vs increased number of shots and post-processing (so vs time, not space).
[1] https://arstechnica.com/science/2026/11/ibm-to-offer-access-...
[2] https://www.ibm.com/quantum/blog/qec-continuum
I don't see why Quantum would be faster than classical. I see quantum having more depth than speed.
I however no knowledge of the subject other than that you can turn a binary bit in to a 2.
It’s healthier to think of neither depth nor speed. The space of problems best suited for quantum computers is altogether orthogonal to those dimensions.
It's better to think of QPUs as highly specialized coprocessors that do certain things really well. You would only every really use them for problems they're good at. Like ALU vs FPU vs GPU.
If it's IBM it's a marketing project ;)
IBM's huge, modular dilution fridge is an interesting idea for superconducting plasmon qubits [1]. I really can't help but wonder what the power consumption will be for both it at datacentre scale and also what a fundamental barrier to anything remotely "at home" that is. I've worked with dil fridges a lot. They're neither cheap nor commonplace and famously most of the world's helium has a nasty habit of leaving at the top of the atmosphere (very marginally cooling it!) as it is so light, and the sources of helium are mostly underground and collected by machines blown up in the middle east or russia recently, as a byproduct of oil and gas extraction.
Very cool technology though.
[1] https://www.ibm.com/quantum/blog/goldeneye-cryogenic-concept...
I recommend people read the Ars Technica article [1] too, better written than this press release.
https://arstechnica.com/science/2026/11/ibm-to-offer-access-...
I will repeat the comment I made in another quantum-related discussion on HN:
Every single discussion thread about any announcement in quantum feels exactly the same:
1. this is not what you think it is, there are caveats and the title is misleading.
2. I feel there is so much hype around quantum computing.
3. It's like nuclear fusion, always 10 years away.
4. Nuclear fusion is at least practical. QC is not.
5. Did they manage to find prime factorization of 17 already? LOL
6. Cryptography will be dead, RIP bitcoin and https.
7. No, actually quantum computers are useless.
It's tiring. I recommend this recent post by Scott Aaronson https://scottaaronson.blog/?p=9668
I keep wondering how long before funding for quantum computer development dries up due to lack of significant progress. I mean, we've been hearing stories about "breakthroughs" in the field for over three decades now and still these machines can't do anything useful. Some companies are even selling quantum machines (D-Wave) and its customers are still trying to figure out what to do with them.
Can it run Shor?
Perhaps, but it's highly unlikely it can outperform classical machines. If it actually had that capability, it would be front and center in the announcement.
Can it run Doom?
It plays Quantum Civ II.
Sounds like our current state, where we're in a superposition of being completely cooked and ushering in a new era of utopian bliss until the AI wavefunction collapses.
Is this new processor capable of achieving reliable and practically useful results beyond the capabilities of classical machines? The answer is almost certainly, no.
Yes, and this was true starting with IBM Boston. I think anything before Dec 2025 could be picked apart as too noisy in particular due to crosstalk problems, for example on Pittsburgh. From the IBM Boston QPU build to the R2s, the fidelity allows for compute beyond what classical computers can do for quantum applications.
IBM has an advantage tracker that needs more submissions https://quantum-advantage-tracker.github.io/
As a pure research project with possible implications in the indefinite future, this is very interesting.
The problem is that the US approach to funding research has backed itself into a corner. Every research advance in a technologically relevant industry has to be presented as though a commercial product is just around the corner, because no-one will pay for the research otherwise.
Eventually, though, the market will get tired of the endless unfulfilled projections and you'll get a "quantum winter".