r/QuantumComputing

Just got curious.

Working on a quantum simulator in Rust specifically based on photonics (for now), looking for collaborators to implement the photonics backend and also contribute in general.

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

I am interested in what people take on INFQ is. Quantum has had increased interest of late, yet the majority of posts etc I see here are about IONQ.

I by no means understand quantum - luckily there’s fart smellers out there who do. However, it seems that INFQ has 2 key advantages in the space - 1 -neutral atoms ; quantum calculations require superposition, which typically requires cooling - INFQ uses atoms held between lasers (idk why / how etc but it works…) to reach superposition, no cooling required, a significant advantage? 2 - Sqale QPU in Use by NVIDIA to try and develop next gen of quantum A.I. LLMs .

When I read about quantum it may as well be in another language. However it does look like this company has a couple of interesting things going on, and unless I’m looking in wrong places don’t see it discussed that much - very interested in y’all’s thoughts.

IPO was in Feb btw so recent-ish

The QAN XLINK desktop app release feels like another example of Web3 trying to position itself around post-quantum security before it’s actually needed.

Most chains still rely on cryptography that could be vulnerable if large-scale quantum computing ever becomes practical, especially around wallet signatures and asset security.

XLINK’s approach leans more toward compatibility than replacement, adding a quantum-safe layer on top of existing Ethereum tools like MetaMask instead of forcing users to migrate.

I think that’s the only approach that could realistically work in crypto, because full migration rarely happens unless it’s absolutely unavoidable.

That said, I’m not convinced yet whether this is meaningful early infrastructure or just narrative-building around a threat that may still be far off.

Where do you fall on this, legit preparation or premature optimization?

Hello, I’m a beginner in the field of Quantum Computing, and recently a friend asked me a question that completely stumped me.

I was trying to explain the working of quantum computers to my friend where I said that quantum computers use qubits instead of bits for computation....even though I am a beginner in this field but I tried my best to explain him about the quantum computers, then he asked one question which was:

How actually a qubit is used for computation?

I had an answer but I couldn't explain him, so I just gave a vague answer by saying "Qubit uses principal of Quantum Mechanics for computation". Since he is not from Quantum Mechanics background or similar field he accepted whatever I said but this question made me re-think of my current progress.

So my question to the community is:
How a qubit actually processes any information for computation?

hobby project. small circuit on real IBM Quantum hardware,

mapped the bitstrings to lotto number ranges (PCSO 6/42–6/58,

UK lotto, US powerball). rejection sampling for non-power-of-2

ranges + a filter that retries on obviously skewed combos.

does NOT improve odds obviously — same math, just true-random

instead of pseudo-random. mostly built it for the bit.

questions:

1. rejection sampling for 1-42 / 1-55 — is there a smarter

   mapping i'm missing? feels wasteful tbh

2. the skew filter retrying on bad combos — does it leak bias

   back in? gut says no but want a sanity check

link in comments if mods are cool with it.

Recently, I was thinking where Quantum Computing might have a real world impact after recent advancements in Quantum Computing. The use cases include many, but I was searching for something related to fundamental sciences.

In this quest, I came across a lecture given by Prof. David Tong at The Royal Institution about Quantum Field 9 years back. It explains the Standard Model with 12 fundamental particles, 4 fields and Dirac equation that explains all the experiments that we can carry out ourselves. However, it can't explain a lot of things happening in the universe, things influenced by dark matter, dark energy and an event that marks the initial period of the universe termed as inflation. He further talked about the importance of Large Hadron Collider in finding the Higgs Boson particle and field; which explains the gravitational force and field.

The conclusion of the video was about what comes next and he discussed 3 possible ways. That's the part where I seem to find my answer. He believes that, the answer to the unexplainable observations might be hidden in Dirac equation itself, it's just that we have to look through a different perspective. However, LHC operations are too cost and resource heavy for a government to sponsor these experiments and one of the possible ways was Quantum Information.

This video was posted 9 years back when Quantum Computing was really in it's infant phase but with recent advancements, we've hardwares and algorithms that are much better at Quantum Simulation . Maybe we can use these tools to understand and explain the unexplainable? What are your thoughts?

Also, here is the link to the lecture: https://youtu.be/zNVQfWC\_evg?si=NxRKlgliLilSKZNX

I propose the OSI model is flawed. The layers are simply patches to correct poor architecture and add persistance and security to a fundamentally stateless and insecure model.

The future of networks is not more complexity with firewalls WAFs and socket persistence, the future of authentication is not Oauth/JWT/Kerberos or Cookies. It's cryptographic identity, distributed ledgers and binary maps. Creating shared execution environments where trust comes first.

This model saves on compute & bandwith and increases fault tolerance & security. It already exists. Its already real and you can install it right now infront of your legacy stack.

OP here. I'm trying out a new interactive way to teach complex concepts. What do you think of the style? How about content, could you follow along okay?

Ill keep this brief. Its quite late...or early, depending on when you woke up.

Anyway, I built a custom script that intercepts the execution, calculates a specific physical hardware map JIT, and forces a Level 0 override.

The test
ibm fez- 5-Qubit GHZ State - 2,000 shots per method.
Same timestamp, same calibration window.

IBM Native compiler
Parameters: optimization level=3
Target States Hit: 1,740
Error Tail: 260
Absolute Fidelity: 87.00%

Custom JIT Routing
Parameters: Custom (Proprietary)
Target States Hit: 1,770
Error Tail: 230
Absolute Fidelity: 88.50%

1.5% absolute fidelity boost resulting in an 11.54% reduction in total hardware errors.

Curious if anyone else is having better luck building their own rather than trusting the commercial defaults.

Google says it wants to combine quantum computing, AI, and biology through a new initiative called REPLIQA, but the $10 million investment feels surprisingly small for a company of its size. Split across five universities, it almost comes off more like a cautious science experiment than a massive commitment to the future of medicine. Still, the idea of using quantum systems to model proteins, enzymes, and drug interactions is pretty fascinating if it ever becomes practical.

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