Visual circuit builder
Place gates on qubit wires and watch the Python and QASM update live. Run without writing a line of code.
Design a circuit, run it on real quantum simulation, and read an honest result — from your browser or your code. No queue rituals. No gatekeeping. Just build, run, and learn.
100 free credits · no credit card · real results
# pip install roro-quantum from roro import RoRoClient from qiskit import QuantumCircuit qc = QuantumCircuit(2, 2) qc.h(0) qc.cx(0, 1) qc.measure_all() roro = RoRoClient(api_key="qcs_live_…") job = roro.submit_run("roro.sim.sv", shots=5000) print(job["counts"]) # → {'00': 2500, '11': 2500}
Quantum computing has spent a decade behind queues, enterprise calls, and jargon. We think it belongs to anyone with a question and the curiosity to run it. So we built one place to build, run, and understand — honest results, no theatre.
Most quantum access still assumes a PhD, an enterprise contract, and a tolerance for queues. We took all of that out.
Design, run, and analyze — then bring your team and your students along.
Place gates on qubit wires and watch the Python and QASM update live. Run without writing a line of code.
Every run executes on a real Qiskit Aer backend — honest counts and probabilities, never a mockup.
Transparent per-shot pricing, like tokens. Buy credits, allocate budgets, and track every run.
Owners, admins, members. Invite by email, assign workspaces, and set budgets. Stay in control.
Learn by doing — theory, an interactive lab, and a quiz per lesson, all the way to a certificate.
Write standard Qiskit, authenticate with an API key, and submit & track runs straight from your code.
Drag gates in the builder, pick a template, or write a QuantumCircuit in code.
Choose a target and shots. We execute it on real Qiskit simulation and debit credits.
Get normalized counts, probabilities, entropy, and the most likely outcome — ready to plot.
The same code you'd write in Qiskit — run it, and read what comes back.
qc = QuantumCircuit(2, 2) qc.h(0) qc.cx(0, 1) # entangle qc.measure_all() job = roro.submit_run("roro.sim.sv", shots=4000)
Two qubits, perfectly entangled — you only ever see 00 or 11.
qc = QuantumCircuit(3, 3) qc.h(0) qc.cx(0, 1) qc.cx(1, 2) qc.measure_all() job = roro.submit_run("roro.sim.sv", shots=4000)
Three-qubit entanglement — all-zero or all-one, nothing in between.
qc = QuantumCircuit(1, 1) qc.h(0) # equal superposition qc.measure(0, 0) job = roro.submit_run("roro.sim.sv", shots=8000)
One Hadamard, a fair coin — about half 0, half 1.
qc = QuantumCircuit(2, 2) qc.h([0, 1]) qc.cz(0, 1) # oracle marks |11> qc.h([0, 1]) qc.measure_all() job = roro.submit_run("roro.sim.sv", shots=4000)
One Grover iteration amplifies the marked state — the answer is 11.
A qubit is a vector, a gate is a matrix, and a measurement is a probability. Here's the whole idea in four lines.
A Hadamard gate puts a qubit into an equal blend of 0 and 1 — a fair quantum coin.
Every gate is a unitary matrix acting on the qubit's state vector.
The Bell state: two qubits whose measurement outcomes are perfectly correlated.
The probability of each outcome is the squared amplitude — exactly what your shots estimate.
A full course lives inside the console — units, interactive labs, exams and challenges. Each lesson pairs clear theory with a circuit you build and run yourself. Free with your account.
Your first gate — the Hadamard — and the |+⟩ state, built and measured.
Entangle two qubits with H + CX and verify perfect correlation.
Scale entanglement, then on to algorithms — Deutsch–Jozsa, Grover, teleportation.
Pick a gate, click a wire, and it appears — qubits, controls, rotations, measurements. The Python and QASM 2.0 update as you go, so the visual and the code are never out of sync.
Build circuits the standard way, point the client at your API key, and run them through RoRo. Results come back normalized and ready to plot — in Python or Kotlin.
from roro import RoRoClient from qiskit import QuantumCircuit qc = QuantumCircuit(2, 2) qc.h(0); qc.cx(0, 1) qc.measure_all() roro = RoRoClient(api_key="qcs_live_…") job = roro.submit_run("roro.sim.sv", shots=5000) print(job["status"]) # completed print(job["counts"]) # {'00': 2500, '11': 2500}
Every lesson pairs short theory with an interactive lab and a quiz. Run real circuits as you learn, and earn a certificate when you finish the track.
Your first Hadamard and a fair quantum coin.
Build a Bell state and a GHZ state, and measure them.
Run Grover's search and read the amplified answer.
Prototype, experiment, and manage spend across teams — one clean interface instead of stitching SDKs together.
Give every student a workspace and a credit budget. Built-in lessons, labs, and certificates make a full curriculum.
Free credits to start. Build, run, and learn at your own pace — from your first Bell state to Grover's search.
Credits work like tokens: each run costs a small amount per shot, debited from your balance. Top up when you need to, allocate budgets to teams and students, and see exactly where every credit went.
100 free credits. No credit card. One login away.