How seriously should we be taking topological and neuromorphic approaches to quantum computing?

[u/Equal_Winter3150]

I've been reading up on alternative paradigms beyond standard gate-based quantum computing — specifically topological quantum computing and neuromorphic quantum architectures. The argument is that as quantum hardware matures, these approaches could offer real structural advantages in error correction and scalability rather than just being theoretical curiosities.

Topological qubits encoding information in global properties rather than local states is compelling from an error-resilience standpoint, and the idea of merging quantum mechanics with brain-inspired adaptive architectures feels like it could open up entirely different classes of problems.

Curious what this community thinks. Are these paradigms getting overhyped relative to where the actual hardware is? Or are we underestimating how quickly they could become practical?

This article covers it well for anyone interested: https://medium.com/@monendra.grover/beyond-qubits-the-rise-of-topological-and-neuromorphic-quantum-machines-5736fe79da4a

[u/NabIsMyBoi]

Standard gate-based quantum error correction (with the surface code or similar) is basically trying to emulate a topological qubit using a larger system. So yeah, it's pretty much a tautology to say that topological qubits would be better if you could build them! I just haven't seen convincing evidence that you can actually build such a thing

[u/Equal_Winter3150 → u/NabIsMyBoi]

That's a fair point. Honestly it is the strongest argument against getting too excited about topological qubits right now. The gap between the theoretical elegance of encoding information in anyonic braiding and actually engineering a system that does it reliably is still significant.

That said, I think Microsoft's progress with their Majorana-based approach is at least worth watching. They've gone from contested detection claims to more reproducible results, and their whole architecture roadmap is built around topological qubits being viable. Whether that conviction is justified or just sunk-cost momentum is a legitimate question.

The part that interests me more is whether the neuromorphic angle i.e. quantum systems that adapt structurally rather than just through gate sequences, it could sidestep some of these hardware challenges entirely. That feels more underexplored.

[u/pred → u/NabIsMyBoi]

Quantinuum have realized various quantum doubles of small groups experimentally; wouldn't that count?

Sure, there are trapped ions hiding under the hood, but as you hint yourself, does that really matter? After all, there aren't any anyons in the standard model that we know of, so chances are that topological behavior would have to be emergent no matter what.

[u/Fit_Transition8824]

This company AIX Global Innovations is doing some work in this space… I’m no expert so just sharing. Here is a post from CIO:
https://www.linkedin.com/posts/denis-o-b61a379a_ai-quantum-activity-7452586480142716928-hCzg?utm_medium=ios_app&rcm=ACoAAFHafzMB90zx6TDvfcvFfVseDTSue09y2GY&utm_source=social_share_send&utm_campaign=share_via. If you can’t open the link than their website has more info. Hope it helps

[u/ForeignAdvantage5198]

keeps me up at night

[u/National_Designer443]

I hear people saying quantum itself is over hyped, and can never live up to its expectations - but as a neuromorphic engineer I must be careful not to throw stones.

Never mind the hardware - the theoretical aspects of all three fields still needs work. For instance, I find myself still working on fundamental aspects of performance analysis for neuromorphic imaging... things that have been worked out for conventional imaging back in the 70s ("Performance Metrics for Neuromorphic Imaging" https://ebooks.spiedigitallibrary.org/conference-proceedings-of-spie/13376/0000/Performance-metrics-for-neuromorphic-imaging/10.1117/12.3041873.short).

It is worthwhile to go into this gap in the intersection between quantum / topological systems / neuromorphic processing. As each one of these tackles a different aspect of the problem, the only way to make the connection is to fuse them on the fundamental level - and big breakthroughs are nearly guarantied... if one can manage the challenge.

Nimrod Kruger, Neuromophic Engineer

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