I see that NVIDIA offers three separate services: cuQuantum, Cuda-Q, and Cuda Quantum. They seem to be completely different entities, but I’m struggling to discern what their separate purposes are. Any explanation would be greatly appreciated.

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.

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• 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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We know every quantum circuit can be represented using complex linear algebra. Why can't we just use digital computer to perform matrix mul, add, sub, conjugation and transposition on digital computer to compute results.

Is there any study/research paper related to this which compares

simulation of quantum computer on digital one

vs original quantum computer

vs digital computer.

I can't seem to find any professors working on the programmability aspect. All the ones I found are working on physics, and electrical engineering side.

What about developing programming languages, compilers, tools etc when the machines are finally commercially available?

EDIT: Country: USA

Hello all, in around a month, we will be holding a presentation at the National Univeristy regarding Quantum mechanics. We will talk about Superpositions and Entanglement. We have a "basic" understanding of them from videos and articles, however, we are seeking "guidance" about what's the best way to structure the presentation and what key points to include. Perhaps you could help give a good explanation about them and some other useful information that could be included in the presentation.

We are still students and have not covered anything related to quantum mechanics as off yet, however, we will be presenting to professors and other experienced people. So excuse us if these are "basic" topis. We would honestly greatly appreciate if you could guide us in the right direction on what points to include and help define and talk about the title of this post to grasp a better understanding and compile a powerful presentation.

Thank you in advance!

Hey everyone, I was hoping someone here may be able to clear up my understanding about a question relating to the QFT.

In a question, I was asked to show what happens to three qubits x1, x2, and x3, when the QFT is applied twice consecutively.

Now online, answers seem to indicate that you should get 2^n - x or -x module 2^n, however the phd student under my professor claims that the answer to this question is that it’s actually not possible and that the stackexchange answer online is incorrect. We have to show that it’s not possible.

My question is, why wouldn’t be able to apply an algorithm like the QFT twice? Conceptually I don’t know why a circuit like the QFT couldn’t just be consecutively applied. I also don’t immediately see any flaws in the 2^n - x answer found online. Would you guys happen to have any advice as how to approach this problem?

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.

Hi everyone, first post here. I'm a 3rd year PhD student who currently works on quantum algorithms for electronic structure problems and I'm curious about your thoughts on the relevance of quantum computing (what I do in academia) to industry:

From an industry perspective (companies like Pfizer, Moderna, Dow, etc.):

1. what's the drug/chemicals discovery pipeline and does comp chem/quantum computation fit into this? (i.e. are quantum algorithms needed in the field of drug discovery/healthcare/chemicals/materials?)

2. What are the current methods people use for the above sectors?

3. If you were to upgrade or add new computational platforms for R&D department usage, what services would you like?

Any comments related are really welcomed! I'm trying to understand the gap between what I do at universities v. what's actually needed in the real world.

Your thoughts are really appreciated and valued!

Hi there!

We will host an AMA with Adam GGitter from Classiq on Monday, November 25, at 9:00 AM GMT to 10:00 AM GMT on Aqora. I thought this might be interesting for some here. You can subscribe to the QInnovision World Challenge 2025 here to join the AMA next week.

Have a great day everyone!

Hey,

I'm a CS grad student working with a professor in quantum networking/cryptography research. While discussing ways to make quantum networking concepts more approachable, I proposed creating educational games for students. My professor loved the idea!

I've started with a quantum version of Snakes & Ladders (This is a rough idea for now) where:

• Snakes represent quantum decoherence
• Ladders become quantum teleportation paths
• Players use entanglement tokens for special moves
• Quantum dice using superposition principles determine moves
• Special squares trigger network effects (repeaters, error correction)

I'm looking for creative ideas to teach concepts like:

• Quantum entanglement distribution
• Error correction in quantum channels
• Quantum repeater networks
• Channel fidelity and noise effects

Whether it's adaptations of existing games or completely new concepts, I'd love to hear your ideas! These games could really help students grasp these complex topics in an interactive way.

Any input on this idea (positive/negative) is welcomed.

Thanks

200K superconductivity at low pressure, a recent paper reports.

Except that big question , no have use case in the real world yet . Superconductors of this sort could transform technology (and quantum computing , such stable qubits!) but practical use still feels a long time off.

Arre we heading towards the superconductive future?

Azure Quantum’s Quantum-Inspired Optimization (QIO) leverages classical computing to solve complex optimization problems. Unlike quantum computing, QIO uses classical algorithms that mimic quantum behaviors to process high-dimensional data and search massive solution spaces. This technique applies to industries like logistics, financial modeling, and energy where optimization can drastically enhance efficiency. The QIO platform enables users to input custom algorithms, giving control over how problems are formulated and solved. This customization offers scalability for enterprise-level problem-solving without needing full quantum hardware, making it a practical option for industries exploring quantum-ready applications.

How could Quantum-Inspired Optimization transform problem-solving in your field?

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How to store my Hamiltonian efficiently if it is sparse and time-dependent and pass it (sparse matrix) to 'mesolve' function of Qutip?

What are the chances that the us government will put restrictions on quantum systems in near future? Restrictions for revolutionary things like new physics, new energy sources, medical break throughs, new tech n more. I understand keeping things regarding big boom under wraps, but not everything is national security related and I feel they will try to restrict a lot of this info for “national security purposes”. How likely this will happen? If it does, will people know that this stuff is restricted? can gov restrict it to where the search in the quantum system for these questions just comes back with blank or dummed down diversion planted info? I am a current cs student and this topic has been on my mind a lot lately.

Hi all, what system languages do we either know or see inside QC’s today and what do we see for the future? Asking as many compiling engineer roles at Quantinuum, IONQ, IBM, etc… list items like “Strong Python + systems programming like Rust or C++ with work in LLVM or MLIR.”

My confusion or clarification I’m needing is in the LLVM part. It seems like Rust is becoming a very popular system language and people actually want to use it. But then the ask of using LLVM/MLIR feels like C++ will still always be the backbone and using Rust will just force me to use a wrapper to LLVM and I’m back to C++ regardless. I already have been diehard python for 10 years, numba, and very rarely used llvmlite when @jit in numba couldn’t cut it. My C++ is super rusty (no pun intended). Should I try Rust as the new kid on the block to stay long term or should I just spend the time and kick the dust off C++?

Note: this doesn’t have to be a compiler role either. Do we see rust being the defacto long-term due to its safety is what I’m getting at and will physicists & engineers at these companies always opt for Rust when they can? I felt this way with Python 10 years ago when people still kept hyping R in academics and told people I never really saw cross-team talk in R, and thus production pipelines would always be in Python due to multiple engineering teams “speaking” the same language. I.E. R stops with the statisticians, whereas Python went from data engineer -> data scientist -> machine learning engineer.

All the models for two-level systems I have seen when there is no control have the Hamiltonian equal ωσ_z. It does make sense, since we can always achieve this by a change of the reference frame. I have a couple of students who are doing a small project estimating ω. They were able to invent an algorithm that seems to do the work, but now we need to test it.

So my question is: what is typical order of ω and what is the order of the minimal time required to readout a qubit? I would guess that the answer would depend on the nature of the qubit, but I'm fine with whatever technology. Does someone know the answer? I had difficulties in just googling it.

I am particularly interested in solving such systems for mechanical engineering purposes where we need to simulate the behavior of materials, interactions between them, etc.

I find Quantum Error Correction (QEC) advancing so rapidly that it's becoming hard to keep up. Is there a quick way to get started, like a crash course or resources that cover the basics, open problems, and tutorials for both theoretical research and hardware implementation? P.S. I have a background in Physics.

I follow several quantum computing companies on Linkedin, and SandboxAQ is the one that pops up the most in my timeline. Most of the time they post videos of their CEO in interviews talking about how important and crucial the new quantum technologies and algorithms will be in the future. They recently posted that AQNav was chosen as one of TIME's 2024 best inventions . I was surprised to see this because I thought that this new navigation system was just a concept, in early stages of development at best. I opened the link and found a vague short article, with an interesting disclamer: "Investors in SandboxAQ include TIME co-chair and owner Marc Benioff."

If you go to SandboxAQ website, you will see that they do anything that has to do with "quantum" nowadays: Quantum AI, Quantum LLMs, Quantum sensors, Quantum cryptography... But I don't think they have achieved anything in any area yet. At least not tangible results. Also, if you watch their videos of their CEO talking to whoever wants to listen, they have millions of views, but less than 10 comments, so they are also spending a lot of money in bots for Youtube and probably other platforms.

I just want to make some sense of what this company really do and what their goal is. I am not in the industry, but as an outsider, it looks like a company that uses fancy and sophisticated terms to get money from wealthy investors.

Hey guys, I need some help on how to represent a quantum channel via kraus operators. I know I have to get the choi Matrix. But I have a 4x4 matrix with every element being 0 except the corners. I'm a bit lost on how to follow from that step. I've seen online that I need to diagonalize the choi matrix but im a bit confused. Do I have to build a 2x2 matrix using the corners of the 4x4 as my elements and then get the eigenvalues and from there the eigenvectors? Any tips or suggestions are gladly welcomed.

I follow quite a few people in the quantum academia/industry such as John Preskill, David Deutsch, Peter Shor and many more notable heavy-hitters on X. So, my feed has quite a bit of quantum-related stuff. Lately, I've been seeing more noise coming from IonQ on my feed again. The crazy thing was seeing IonQ on CNBC the other week, but I doubt anyone on the panel knew what they, themselves, were saying. But, I guess they were in the news for some reason. So, I checked their recent announcements to see what they've been up to and I saw quite a bit of technical activity. However, I'm not really sure what to make of it given how fast the industry seems to move and so much misinformation out there.

They claim that their upcoming "AQ 64" QC can not be "classically simulable" and will provide "commercial advantage." Is it hype / technical filler OR is there something of substance with their hardware progress? Are we close to practical usage or is this a nothingburger?

Background: I only took an intro to quantum computation and information class / played with Qiskit as part of my undergraduate studies years ago. So, I am definitely not an expert!