# What is Qsolve

> Qsolve is a platform where you run validated quantum and hybrid workflows at a quoted price and see their measured results against the best classical method.

Source: https://qsolve.omlabs.co/docs/start/what-is-qsolve
Updated: 2026-11-12

Qsolve lets you run quantum and hybrid quantum-classical algorithms without building them. You pick a **workflow** (a packaged algorithm for one kind of problem), give it your input, and get an answer together with a measured comparison against the best classical method. Every run has a price quoted before it starts.

You do not need to be a quantum computing expert. You do need to be comfortable reading a result that says "matched the classical answer" or "below the classical answer", because Qsolve reports both.

## The problem it addresses

Quantum algorithms are published as papers and notebooks. Whether one works on your problem, how accurate it is on today's noisy machines and what it costs are questions a notebook rarely answers. Qsolve answers them with measurements, taken the same way for every workflow:

- **Accuracy against a baseline.** Every workflow declares a classical method, the **baseline**. Qsolve runs both on the same input and measures how close the quantum answer is to the baseline's.
- **Fidelity and circuit size.** Qsolve records every circuit sent to the machine and every count that came back, then measures how close the output is to what a perfect machine would produce.
- **Cost.** Each workflow page shows a typical cost, and each run shows a quote before it starts.

The workflow's author does not write these numbers. Qsolve measures them, and each page says which numbers were measured and which the workflow reported. See [Accuracy, fidelity and noise](/docs/use/accuracy-fidelity-and-noise).

## Workflows today

| Area | Workflows | Typical input |
|---|---|---|
| Optimisation | `generic-qubo`, `max-cut`, `portfolio-optimization` | A QUBO matrix, a weighted graph, asset returns and covariances |
| Chemistry and materials | `molecular-ground-state`, `interaction-energy`, `electrolyte-solvent-screen` | A molecule name or geometry, a set of species, a list of solvents |
| Machine learning | `quantum-kernel-classifier` | A small labelled table or a built-in dataset |

Outside developers can publish workflows too. A workflow is listed only after it passes Qsolve's validation. To publish one, see [Build overview](/docs/build/overview).

## What Qsolve does not do

It does not promise a quantum advantage. Problem sizes are small: the optimisation workflows accept up to 24 variables and the chemistry workflows up to 12 qubits per system. At those sizes a classical method can often find the exact answer (the optimisation baseline is an exhaustive search up to 22 variables), so the quantum method can at best match it. What Qsolve adds is that you see this in numbers.

Results from real quantum hardware carry that hardware's noise. Qsolve measures and shows it but cannot remove it, and some workflows land below their baseline on hardware. The track record says which.

Qsolve also cannot prove that a baseline is the best classical method that exists. It shows which classical methods were run and how each scored.

## Where to go next

[How a run works](/docs/start/how-it-works) follows a run from submit to result. The [Quickstart](/docs/start/quickstart) makes a first run on a simulator with your free credits. The [Glossary](/docs/start/glossary) covers the vocabulary.