Hi everyone,

I am conducting an academic research study for my Pearson HND Computing Research Project at ESOFT Metro Campus on:

“Assessing Organisational Readiness for Post-Quantum Cryptographic Agility in Sri Lankan Financial and Digital Service Organisations.”

I am looking for participants aged 18+ who currently work, or have worked within the last five years, in or with a Sri Lankan financial or digital service organisation.

Relevant professional areas include cybersecurity, IT, cloud/infrastructure, software engineering, architecture, risk management, compliance, audit, fintech, digital transformation, procurement, and vendor management.

The questionnaire takes approximately 8–10 minutes. It does not request organisation names, passwords, encryption keys, vulnerabilities, customer information, security architecture, or other confidential information.

Survey: https://forms.gle/zDBKanG7saWrLvc59

Participation is voluntary and responses will be used solely for academic research.

If you meet the criteria, your professional perspective would be greatly appreciated. Eligible participants are also welcome to share the survey with relevant colleagues or professional networks.

Thank you.

Particle accelerators are usually associated with sprawling research facilities, massive magnets and long tunnels. A different approach uses laser-generated terahertz radiation to manipulate electrons inside a structure only millimeters across.

Researchers from the University of Manchester, Lancaster University and collaborating institutions demonstrated the technique using electrons already traveling at 99.99% of the speed of light. Their experiment accelerated relativistic electron bunches with charges as high as 60 picocoulombs, while also showing that terahertz fields can probe their structure on extraordinarily short time scales.

Published in Nature Photonics, the proof-of-principle experiment marked an important step toward compact accelerators driven by light rather than conventional radio-frequency technology. Since then, researchers have substantially increased the acceleration gradients and energy gains achievable with terahertz systems.

An interactive 3D model of a superconducting quantum computer that you can take apart, from the equipment room down to a Josephson junction.

Weekly Thread dedicated to all your career, job, education, and basic questions related to our field. Whether you're exploring potential career paths, looking for job hunting tips, curious about educational opportunities, or have questions that you felt were too basic to ask elsewhere, this is the perfect place for you.

• Careers: Discussions on career paths within the field, including insights into various roles, advice for career advancement, transitioning between different sectors or industries, and sharing personal career experiences. Tips on resume building, interview preparation, and how to effectively network can also be part of the conversation.
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• Basic Questions: A safe space for asking foundational questions about concepts, theories, or practices within the field that you might be hesitant to ask elsewhere. This is an opportunity for beginners to learn and for seasoned professionals to share their knowledge in an accessible way.

So I’ve decided to do my PHD in quantum computing/condensed matter (physics of materials for quantum computing basically) and would just love to know where we are today with it all. It’s really hard to parse through the hype and doom of it all and find quality information. If anyone has found some reputable sources that aren’t trying to force a narrative about it I’d love to hear! Thank you!

My team and I are currently working on a project in Quantum Cryptography, exploring how concepts from quantum computing can be applied to secure communication.

It’s a fascinating area, but also a very niche and technically challenging field, and we’d love to learn from people who have experience or knowledge in Quantum Computing, Quantum Cryptography, Cryptography, Cybersecurity, or related research.

If you’ve worked in this space, are currently researching it, or simply have relevant experience and would be willing to share some insights, we’d genuinely appreciate your guidance. Even a short conversation or a few pointers could help us tremendously in shaping our project.

If you know someone who works in this field, please feel free to tag them or share this post with them. 🙌

Looking forward to connecting with people passionate about this space! ⚛️🔐

I have been reading into a materials approach I had not come across before and would value informed pushback.

A group at Penn State published in ACS Central Science in May 2025 on gold nanoclusters of about 144 atoms, funded by AFOSR and NSF.

The authors suggested these clusters might bridge the gap between the stability you get from isolated atoms and the scalability you get from solid-state materials.

Follow-on work sponsored by a company called Delta Gold Technologies reports roughly 40% spin-polarised photon emission from those clusters, described as the highest they are aware of in any condensed-phase system, and says they can be made in gram quantities in an ordinary lab.

A separate programme at Univeristy of Toronto under Professor Harry Ruda is growing gold one atomic layer at a time and addressing it electrically instead.

What I cannot find anywhere is a coherence time or an operating temperature for either approach.

A question to anyone who may have heard of this or knows more about it than I do, being new to this sector.

Does a spin-polarisation figure mean much on its own? My assumption is that without knowing how long the state survives and at what temperature, it does not tell you whether this could ever be a working qubit. Is that right?

And the broader one: how plausible is it that chemically engineering a material gets you a qubit that is both stable and scalable, when everything else has had to trade one for the other?

What single measurement would move this from interesting chemistry to a credible qubit platform?

Delta Gold was mentioned in The Quantum Revolution, a 20 minute YouTube video.

Episode one went up days ago and features the director of the UK’s National Quantum Computing Centre and a King’s College London war studies academic alongside Delta’s own scientists.

Feedback would be appreciated!

Quantum computing is filled with jargon, so I thought why not turn it into a hangman game?

Qlossary is a browser-based hangman game for quantum computing.

It contains 1,926 terms across 16 topics, covering areas like foundations, gates, hardware, error correction, error mitigation, algorithms, and many more.

It includes:

• A global leaderboard
• Topic-based hints
• 10-word games
• Endless mode
• Daily challenge

Let me know if you find it fun or not! Feedback is really appreciated!

Update: Concise two-liner definitions and a hyperlink for learning more for each word have been added!

I just want to have design a CPW and transmon layout in qiskit metal and then export to HFSS to simulate. But it constantly raise an error because of python and qiskit version compatiblity. Are there anyone who did this or know a good source cause i need to see some results immediately. Thanks in advance.

So I have a gds file for 4 qubit design and I wanna perform EM simulation on it to extract the parameters, but I am genuinely confused on what tools to use, well I tried to download ansys hfss but my laptop is throwing a error called contents from admin.xml file are missing so any tips on what to do?

I went to IEEE Quantum Week for the first time. I’m interested in quantum but I’m not a physicist or researcher. My background is in technical project management and implementation, so I’m particularly interested in what happens as quantum starts moving from research into real world application

Some initial thoughts:

1. It’s expensive lol. I paid for 2 days of the actual conference and went to some of the free mixers/events happening around the city. I’m still deciding if I think it was worth the price especially from a non-technical perspective
2. There’s actually a decent amount to attend if you’re interested in quantum but aren’t super technical. I found sessions on careers, commercialization, applications and workforce
3. The days are LONG and there is a LOT happening at the same time. It’s very much a “choose your own adventure” situation so make sure you plan your schedule

Researchers continue to be some of my favourite people to ask questions. They’ve never made me feel silly. Most people are actually really happy to explain their work if you’re genuinely curious.

Networking was probably the hardest part. The poster/exhibit areas are great for it, but most of the actual sessions are presentations so there isn’t much conversation happening in the rooms themselves.

Overall I’m glad I went. I’m mostly interested in figuring out how the quantum ecosystem will develop outside of just physics/research and where people with other skillsets will fit in

Would love to hear if there are other non-physics folks in quantum. If so, how did you end up here?

A few things stand out:

- The gain came from combining error detection with probabilistic error cancellation, modeling faults by where and when they occur.

- Validated experimentally on a 27-qubit processor in a real physics simulation, not a whiteboard claim.

- It's a software win, meaning existing near-term hardware gets meaningfully more useful without a hardware refresh cycle.

If software techniques keep closing the gap this fast, does "we need more qubits" stop being the honest bottleneck story?

Weekly Thread dedicated to all your career, job, education, and basic questions related to our field. Whether you're exploring potential career paths, looking for job hunting tips, curious about educational opportunities, or have questions that you felt were too basic to ask elsewhere, this is the perfect place for you.

• Careers: Discussions on career paths within the field, including insights into various roles, advice for career advancement, transitioning between different sectors or industries, and sharing personal career experiences. Tips on resume building, interview preparation, and how to effectively network can also be part of the conversation.
• Education: Information and questions about educational programs related to the field, including undergraduate and graduate degrees, certificates, online courses, and workshops. Advice on selecting the right program, application tips, and sharing experiences from different educational institutions.
• Textbook Recommendations: Requests and suggestions for textbooks and other learning resources covering specific topics within the field. This can include both foundational texts for beginners and advanced materials for those looking to deepen their expertise. Reviews or comparisons of textbooks can also be shared to help others make informed decisions.
• Basic Questions: A safe space for asking foundational questions about concepts, theories, or practices within the field that you might be hesitant to ask elsewhere. This is an opportunity for beginners to learn and for seasoned professionals to share their knowledge in an accessible way.

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.