> For the complete documentation index, see [llms.txt](https://docs.qubixquantum.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.qubixquantum.com/trust-and-reality/limits.md).

# Limits

#### What Works Today

Right now Qubix handles anything that fits within about 10 qubits, and that's more than it sounds. Every kind of true randomness, entanglement, and a whole range of small circuits all run reliably on real hardware. If your problem fits in that space, Qubix runs it and proves it. Not just coin flips, but everything small circuits can do.

What's not here yet is the big, heavy stuff running flawlessly. The famous quantum promises just aren't something any machine can pull off well today. Not us, not anyone. And we're not going to pretend otherwise.

#### The Honest Truth

The real limit today is size. Circuits have to stay small, because the machines are still young and bigger ones get noisy. But that's the starting line of something huge.

Quantum is shaping up to be one of the biggest technologies of the next few decades, and it's moving fast. As the hardware grows, the space we can work in grows with it, and Qubix grows right alongside, opening the door to things like simulating molecules for new medicines, modeling chemistry, and problems no normal computer can touch. We move exactly as fast as the technology does, and we're in early.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.qubixquantum.com/trust-and-reality/limits.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
