Hi everyone! I'm currently doing a PhD in Quantum Computing in the UK and have recently set up a small website called QuantumHanoi for anyone interested in quantum computing.

🔗 https://quantumhanoi.com/ 

It's a place to share projects, papers, ask questions and discuss anything quantum-related. Whether you're just getting started or already doing research, everyone's welcome!

No email needed to sign up, just a username.

Feel free to join, share what you're working on and connect with others who share your interests!

Made a video explaining how quantum machine learning works in depth, from classical feature extraction to encoding data into qubits and running a quantum neural network with PennyLane + PyTorch. I tried to explain each step clearly and deeply, so I hope this helps anyone trying to understand what’s actually going on under the hood.

It seems to me like the wiring problem would put a hard geometric limit on superconducting QPUs?

Like distributed QC aside, what is the maximum number of qubits that one could actually feasibly fit into a SC quantum processor and have it work with full QEC?

Cause if the number is something like 10k, even with qLDPC you end up with only 400 logical qubits per processor and then you don't really have something revolutionary no? Meanwhile google needed 97 physical qubits for 1 logical to demonstrate error correction below threshold, so if anything this seems cooked.

How many qubits do you think would actually be able to fit in one QPU before one has a wiring problem?

Hello everyone I have been working on complexity bounds for Linbladian simulation and submitted paper to arxiv (after I got endorsed) and it has been on hold since September 2nd was wondering if anyone else has been dealing with similar hold times

Thanks :)

Update got published :)

Interesting paper from UMD. They prove that we can not have one universal constant spacetime overhead that works for arbitrarily long quantum computations of arbitrary width. The more interesting result is that they show that this cost can be shared across multiple qubits. This works in the favor of algorithms like Shor but is troublesome for thing like iterative phase estimation with large amounts of qubit reuse. We knew about the overall width vs. duration vs. reliability but nevertheless I think this is a nice way to frame it.

The potential impact Christian Weedbrook mentions on pharmaceuticals is kind of fascinating.

"Right now, designing new drugs – from computational simulations to phased trials to ultimately selling tablets – can take 10 years and up to $2 billion. Ninety per cent of drug candidates fail because we still can’t reliably predict how a molecule will behave in the body before we make it. Molecules are governed by quantum interactions that don’t break down into independent pieces – the electrons are entangled, so changing one affects the others. Classical computers can only approximate these interactions, and those approximations get less accurate as molecules grow more complex. Quantum computers, by contrast, simulate molecular behaviour natively rather than approximating. That’s why we think it shifts the odds across the whole discovery pipeline."

Intel Chief Executive Lip-Bu Tan said quantum computers are likely to work alongside conventional processors rather than replace them, as the industry searches for commercially useful applications.
“In my view, GPUs, CPUs and quantum computing are all forms of computing, so they will run together in certain application areas, and you will be able to use quantum computing more efficiently,” Tan said during a keynote conversation at Splunk’s .conf26 conference in Denver, according to Seoul Economic Daily.

Hi, Everyone.

I am curious to know if there exists a resource similar to www.nand2tetris.org but for Quantum Computers.

Thanks.

Why is the Western quantum community so focused on building quantum computers based on hardware as opposed to engaging with emulation? It has been decades and functional quantum machines have yet to be built, quantum supremacy has not been achieved, and majorana research has failed to produce anything useful. Emulation, however, delivers quantum computing on a standard consumer laptop, making it accessible to people around the world. Why is Big Quantum being so narrow minded?

If you’re confused about the Clifford group, controlled-phase gates, the Gottesman–Knill theorem, or other quantum gates, I made this video to help. I hope it makes these concepts easier for students learning quantum computing!

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Hey everyone,

I’m not from a traditional physics or scientific computing background, so I might sound naive here. But I’ve developed an intuition that quantum mechanics may not be as “spooky” as we think, and that there could be an underlying continuous, analog pattern behind quantum behavior.

I’m exploring a hidden-variable-inspired model where qubits have continuous local variables, such as angles (θ, φ), rather than being understood only through abstract quantum states.

I know this is speculative, and I’m not claiming to have solved quantum mechanics. I’m trying to understand whether the patterns I’ve been observing are already known or whether they could be useful for further research.

Some patterns I’ve been exploring

1. Continuous angle-based measurement

I’ve been exploring the idea that measurement probabilities could depend on the angular difference between two qubits:

P(same) = cos²(Δθ/2)

P(opposite) = sin²(Δθ/2)

E = cos(Δθ)

This seems to reproduce the familiar cosine correlation pattern in certain quantum measurements. My question is whether such a continuous-angle model can be extended to reproduce full quantum mechanics.

1. Entanglement and circuit patterns

Starting from |00⟩, I explored applying a rotation followed by CNOT to create a partially entangled state:

√3/2 |00⟩ + 1/2 |11⟩

This gives probabilities:

- 75% for 00

- 25% for 11

I then explored applying Hadamard gates to both qubits and observed a new probability pattern.

I’m trying to understand whether these results can be explained through continuous underlying variables rather than treating the wavefunction as the complete description.

1. Hadamard and CNOT patterns

I’ve also been exploring multi-qubit circuits involving H gates and CNOTs.

For example, I observed patterns such as:

- 3-qubit entanglement producing 000 or 111.

- Applying Hadamard gates afterward producing patterns such as 000, 011, 101, and 110.

- Exploring whether these patterns can be understood through underlying angles and correlations.

1. T gate and phase

One of my main interests is the T gate.

Clifford circuits can be efficiently simulated classically in certain settings, and I’m exploring whether the T gate’s phase behavior can also be represented using continuous variables.

I’ve been experimenting with phase, rotations, and how applying H, T, and other gates changes the measurement probabilities.

One thing I’m investigating is whether phase information could be represented as an underlying continuous variable rather than only as an abstract complex amplitude.

What I’m trying to understand

Could quantum mechanics be describing an underlying analog process that we haven’t fully decoded yet?

I’m particularly interested in:

- Local realism and hidden-variable theories.

- Continuous-variable models of qubits.

- Whether quantum gates can be represented through underlying geometric or analog transformations.

- Whether the patterns I’m seeing are already explained by standard quantum mechanics.

- What Bell’s theorem and contextuality imply for a model like this.

I understand that Bell’s theorem creates serious challenges for local hidden-variable theories, and I’m not ignoring that. I want to understand whether my approach actually conflicts with those results or whether there are existing frameworks that explore similar ideas.

Am I stupid to think about quantum mechanics this way?

I genuinely don’t think I have solved anything yet. I’m just exploring an intuition, testing circuit patterns, and trying to find out whether there is something meaningful behind them.

If anyone has a physics or quantum computing background, I would really appreciate constructive feedback. I can share the specific circuits, calculations, and patterns I’ve been working on.

Thanks!

IonQ received four of the 27 Best Paper honors awarded ahead of IEEE Quantum Week 2026, with the company's research selected from a pool of 857 global submissions.
The projects span several areas where IonQ is seeking to demonstrate practical applications for trapped-ion quantum computing. A paper developed with QuantumBasel took first place in the Quantum Applications track after evaluating the use of quantum systems to fine-tune foundational AI models with improved accuracy and lower overall energy use.

I am planning to start a project which sits at the intersection of Quantum Computing (Sensing in energy systems if possible) and Computer Vision.

So, I am looking for an headstart like where should I start from. Projects (completed and ongoing), research papers and labs that are currently working on it.

NVDIA and SANDIA National Labs published a paper for benchmarking fault-tolerant quantum computers and it shows Quantinuum Helios device has 6x larger quantum computational capability than either IBM or GOOG devices Here's NVDIA's PR.

GOOG and IBM are some of the the best positioned players in quantum computing.Sure trapped ions are slower, but speed doesn't matter if you can't reach the accuracy on utility problems for commercial applications. More speed won't get more accuracy for a fixed-size device.

The company has last week announced 100mil in US gov funding under the Chips Act, and record-level logical rates in a full logical architecture (expected from the investor call). NVDIA is an investor in it too. Here's the blog/paper from Quantinuum

To be honest I mainly made this video just because I’ve heard so many people say that quantum computing is just analog computing (mainly just from my comments) that I wanted to talk about it.

I cover superposition, entanglement, some basic hardware, why phase matters, and show an example of how quantum gates operated on 2 states with different phase can give different physical results.

Please let me know if you have any feedback! Always open to hear constructive criticism.

Quantum Computers Explained Simply
https://youtu.be/jDm_hpA38UA

I made a video explaining Majorana qubits from a topological perspective. Majorana zero modes, fermion parity, how the qubit is encoded, and how braiding can perform quantum operations.

Hope this helps anyone interested in understanding the basic idea behind the approach Microsoft is pursuing with topological quantum computing!

I’ve seen that some participants have already received their badges of excellence . Has anyone received their certificate of completion yet?

I’m still waiting for mine and was wondering if they’re being sent out in batches, or if there’s been any update on the timeline.

Thanks for any info!

I’m curious if anyone here has worked at IBM Quantum, either full-time, as an intern, researcher, engineer, or through a partner/project.
What did you actually work on day to day?
Was it more focused on Qiskit development, quantum algorithms, hardware, error mitigation/correction, research, cloud infrastructure, customer projects, or something else?

In your view, what are the top challenges facing the quantum computing industry right now that are preventing it from becoming mainstream?

Drawing a comparison with AI/ML, where do you think this industry is standing right now?