See a Quantum Computer Actually Work

A quantum computer's inner life is invisible. The thing doing the actual work, a state spread across many possibilities at once, never shows up on a screen. You are usually asked to take it on faith, or on math.

The six projects on this page refuse that. Each one takes something you normally cannot see, an algorithm running, a molecule forming, a quantum computer racing an ordinary one, and turns it into something on screen you can poke at. Four of the six send real work to a real quantum computer. All six are free, and all six are open for anyone to copy and change.

Start here

If you have never heard of Qollab or this challenge, you are exactly who this page is for. Two quick things to know before the tools.

The teams behind these six range from students to working quantum researchers. You will also see the phrase trapped-ion below. It is just one way of building a quantum computer, the kind IonQ makes, and the practical point is that four of these six tools run on the real machine and show you what comes back, noise and all. What ties all six together is a single instinct: rather than explain quantum computing, show it.

What are these six tools?

At a glance

QAVE: watch an algorithm run

Start with the tool the whole category grew out of. QAVE, short for Quantum Algorithm Visualization Engine, was a winner of Qollab's very first challenge back in 2025. It takes a quantum algorithm and animates every step at once: the state, the underlying math, and the effect of each operation, all moving together as the algorithm runs. Most people are told what a quantum algorithm does. QAVE lets you watch it happen, and you can replay any circuit as many times as you like. It was built by Inho Choi, a quantum-information researcher, and it runs on a simulator, so nothing here needs special access.

The most interesting thing for me has been seeing how much more understandable a quantum circuit and density matrix becomes once the evolution is made visible step by step. Many ideas in quantum computing feel difficult not only because of the math, but also because we often lack the right way to see them.

QuantumCanvas: build one by hand

QuantumCanvas is for the moment right after a tutorial, when you understand the idea but building a new circuit from scratch still feels like a wall. Instead of writing code, you drag and drop operations onto a grid, shake a qubit into superposition, link two together, and watch the circuit and its state react as you go. When you are ready, it runs the result on a real quantum computer, with no linear algebra required to begin. Shivani Mayekar, a researcher at Georgia Tech who has run quantum workshops for hundreds of people, built it around a single observation about how people click with the subject.

I love seeing the moment when something clicks. Someone who initially finds quantum computing intimidating suddenly becomes curious and engaged. Watching people discover that quantum is something they can explore rather than just admire from a distance is incredibly rewarding.

Quantum Courier: play against a quantum computer

Quantum Courier makes its case by letting you lose to a quantum computer. It is a browser game that turns delivery routing into a five-stage race: you draw your own routes, then a classical solver and a real quantum one both try to beat you, and the game shows honestly who wins each round and why. Quantum takes one stage on real IonQ hardware, while the classical solver still wins the routing rounds. Dr Siti Fariya, who spent two years optimising real traffic at the Port of Dover before moving into quantum, left every result in, wins and losses both, which is the honest thing to do and rarer than it should be.

Quantum people are looking for real cases to solve, but they don't really understand the real problems in industry, like logistics. I want to be a bridge between the two.

Quantum Advantage Lab: watch the speedup, honestly

Everyone hears that quantum computers are faster. Far fewer ever see why. Quantum Advantage Lab runs four famous quantum algorithms side by side with the ordinary methods that solve the same problems, and streams the state of each one as it goes, so the reason a speedup exists becomes something you watch rather than a claim you accept. It is also refreshingly honest: at the small sizes today's hardware can handle, the quantum side does not actually win on a stopwatch, and the Lab says so out loud. Hossein Sadeghi, who spent a decade building quantum software at companies including D-Wave, built it on his own.

Quantum advantage is usually explained with asymptotic notation. That is technically correct, but it is not persuasive for most people. I built this to make the speedup something you can watch unfold, not just read about, even though in practice no such speedup exists yet.

qOrbital: chemistry, noise and all

qOrbital is the most chemistry-flavoured of the six, and the most quietly radical. It runs a real quantum-chemistry calculation on IonQ hardware and draws the resulting molecule two different ways at once. Then it does something almost no visualiser does: instead of cleaning up the result into one tidy number, it overlays many real hardware runs so you can see exactly where the quantum computer is sure and where it is not. The noise is the exhibit, not something to hide. It was built by two Dartmouth physics students, Aryan Bawa and Arnav Singh.

Most VQE demos report one energy number and hide the noise. qOrbital makes the noise the exhibit.

QCFlows: see the correlations

QCFlows is the one to reach for once the others have hooked you. A normal circuit diagram shows the gates but says nothing about the thing that makes a circuit quantum: the web of correlations between qubits that forms and shifts as it runs. QCFlows draws that web live, as a graph you can scrub through layer by layer, so something usually left to equations becomes visible. It comes from three researchers in the QUEST group at the Cyprus Institute, and it is deliberately built to be taken apart, so you can fork the whole dashboard or lift out just the one measurement you need.

We keep coming back to how difficult it actually is to visualize entanglement. The project is based on quantum tomography ideas, but those often stay on the academic side and don't get across to a general audience. We're trying to bring the visualization of correlations between qubits to a general audience.

Why this is unusual

Learning quantum computing is not hard to find. IBM, Microsoft, PennyLane, Brilliant, and a shelf of university courses will all teach you the theory, and most are free. Almost all of it, though, is something you read or a course you sit through.

Tools you actually operate are rarer, and the good ones are scattered and often half-abandoned: a circuit editor here, a frozen game there, a simulator whose makers moved on. A curated set of them, built by named people, open to fork, and running on real quantum hardware, barely exists anywhere else.

That is what this page is. Six tools, six teams, one challenge. IonQ funds the hardware through its partnership with Qollab, and every project is open source, so the surest way to understand any of them is to open it and change something.

Try one yourself

Every tool here runs in your browser, and every one is open to fork. Pick whichever one pulled you in, open it, and change something. That is usually the moment it clicks.