Simulator
Drag components onto the sheet and the results update as you go. Circuits run a full state-vector simulation. Networks run loss, decoherence and entanglement swapping over fibre. Put both together and you get distributed quantum computing, where the cost of every gate that crosses a node boundary becomes visible.
Drag gates onto the wires. Drag a placed gate to move it, click to select.
Circuit
Every amplitude is tracked, so the probability histogram is exact rather than sampled. Entanglement entropy is the von Neumann entropy of each qubit against the rest: zero for a separable state, one full ebit when maximally entangled. Turning on gate noise switches to Monte Carlo trajectories with a depolarising channel after each operation.
Network
Fibre attenuates at 0.2 dB/km with the source at each segment midpoint, so transmittance enters squared. Memories decohere while heralding signals travel. Entanglement swapping multiplies Werner parameters, which is why fidelity falls off faster than distance alone suggests. QBER and secret key rate follow from the end-to-end fidelity.
Distributed
Qubits are assigned to nodes in order. Any two-qubit gate whose operands sit on different nodes has to be teleported, consuming one entangled pair and two classical bits. The fidelity penalty compounds per teleported gate, which is why partitioning a circuit well matters more than buying a better link.
This is a teaching and scoping tool. The models are standard and the physics is real, but they are idealised: no detector dark counts, no multiplexing, no error correction, and a uniform depolarising noise model. Use it to build intuition and size a problem, then talk to us before anyone makes a procurement decision on the numbers.
Get in touch
Send us your network layout or the circuit you are trying to fit onto hardware. We model it properly, with the noise characteristics of the devices you would actually be using.
Doha, Qatar