QNT.01
How Quantum Computing Works
Qubits, superposition, entanglement, interference and decoherence — the mechanism, without the metaphors that mislead.
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Quantum computing, without the hype.
We are named QQuantum and we do not sell quantum computing. That makes this section unusual: an explainer written by people with a naming incentive to overstate, deliberately erring the other way. Everything here is what the published evidence currently supports.
- Explainer, not a service line
Start here
Quantum computers exist, you can rent time on one this afternoon, and for almost every business problem you have they are currently the wrong tool. Those three statements are all true simultaneously, and holding them together is most of what it takes to think clearly about this field.
What a quantum computer does is not “the same thing, faster”. It is a different computational model, which for a small number of specific mathematical structures admits algorithms with no efficient classical equivalent. Factoring large integers is the famous one. Simulating quantum systems — molecules, materials, chemistry — is the one most likely to matter commercially first, because it is the case where the machine and the problem share a structure. Outside that narrow set, a classical computer is faster, cheaper and available.
The machines available today are described in the literature as NISQ — noisy intermediate-scale quantum. Noisy is the operative word. Qubits lose their state within fractions of a second, gates have error rates that compound through a circuit, and the number of operations you can perform before the result becomes noise is small. Error correction is the field's central engineering effort and it is progressing genuinely and unevenly; it is not solved.
So there are exactly two things we think a business should do about quantum computing in 2026. One of them has a deadline, and it is not the one anybody markets.
The two things worth doing now
01
Inventory your cryptography
This one has a deadline and it is real. Encrypted data intercepted today can be stored and decrypted later by a machine that does not yet exist — so the exposure window for anything with a long confidentiality life has already opened. NIST published the replacement standards in 2024 and the migration is a multi-year programme. Starting the inventory is the first step and it costs almost nothing.
02
Understand it well enough to say no
The second is defensive. Enough understanding to evaluate a vendor claim, answer a board question and recognise the difference between a research result and a product. There is a great deal of money being raised on ambiguity in this field, and the ability to ask two good questions is worth more than a pilot.
Where it meets ai
Quantum machine learning is a real research field with real results and, as of now, no demonstrated advantage over classical methods on the kind of data businesses actually hold — customer records, images, text, sensor streams. That absence, after more than a decade of concerted effort and substantial funding, is the single most informative fact about the field, and it is the one most often omitted.
The results that are genuinely promising involve quantum data — measurements from physical quantum systems — rather than classical data loaded into a quantum computer. That distinction matters enormously, because loading classical data into a quantum state is itself expensive enough to erase the speedup in most proposed schemes. It is a real and underappreciated bottleneck rather than an engineering detail awaiting a fix.
None of which means the field is empty. It means the honest description of the AI overlap in 2026 is: an active research area, worth watching, with no production application for a business whose problem is a language model or a forecasting task. If your machine learning problem is hard, the answer is better data or a better classical method, not a quantum computer. We would rather tell you that than sell you a pilot.
Every quantum page
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QNT.02
Quantum Computing in the Cloud
IBM Quantum, AWS Braket, Azure Quantum and Google — how you actually get time on quantum hardware, and what it costs.
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QNT.03
Quantum Machine Learning
Variational circuits, quantum kernels and the current state of the evidence for quantum advantage in learning tasks.
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QNT.04
Quantum Optimisation
Annealing and QAOA against scheduling, routing and portfolio problems — including the classical baselines that usually still win.
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QNT.05
Post-Quantum Cryptography
The one quantum topic with a deadline: harvest-now-decrypt-later, the NIST standards, and how to inventory your exposure.
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Questions
Questions about Quantum Computing.
Do you offer quantum computing services?
No. We are an AI systems engineering studio; the name is a name, not a service line. We wrote this section because clients ask, because there is a great deal of misleading material, and because one part of it (cryptographic migration) is genuinely urgent. If you need actual quantum work, you need a specialist research group and we will say so.
Is quantum computing going to break encryption?
Eventually, for the public-key algorithms in use today, on a timeline nobody can state honestly. What matters commercially is not the date but the harvest-now-decrypt-later exposure: data captured today can be decrypted whenever the capability arrives. If your data has a confidentiality life measured in decades, your exposure started already.
Should we run a quantum pilot?
For almost all businesses, no. The exceptions are organisations whose core problem is quantum chemistry or materials simulation, and a small set of research-heavy optimisation contexts — and those organisations already know who they are. For everyone else the money buys more learning if spent on the cryptographic inventory.
Will quantum computers make AI models better?
There is no current evidence that they will, and there is a specific structural obstacle — the cost of loading classical data into a quantum state — that any such claim has to address. Treat a vendor who does not address it as not having thought about it.
One quantum topic
has a deadline.
It is the cryptographic one. We can help you scope the inventory, and we will not sell you a pilot you do not need.
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