Simulation studio
Qubit Routing Sandbox
A logical circuit is mapped onto a sparse coupling graph that mimics IBM Heron heavy-hex topology or a generic sparse backend.
Learners manually insert SWAP operations, watch routing overhead accumulate, and compare their path with an AI-assisted router.
Corrected hardware reference from IBM Eagle to IBM Heron.
Module context
Module 2: AI for routing, graph reduction, and constrained optimization
Module 2 simulations focus on the classical support machinery that keeps near-term quantum workflows tractable under sparse hardware and small qubit budgets.
- 3 labs in this module.
- Difficulty: Intermediate.
- Dedicated route: /simulations/qubit-routing-sandbox.
Live lab
Interactive simulation workspace
This studio route isolates a single simulation so the learner can focus on one model, one control surface, and one explanatory framing at a time.
Browser-playable lab
Qubit Routing Sandbox
Manual SWAP insertion shows how sparse coupling creates depth overhead; the AI router reveals a tighter path on the same topology.
Controls
Outputs
Logical interaction pairs already adjacent on the coupling graph.
Each SWAP is counted as three added gate operations.
Illustrative depth penalty from routing and unresolved interactions.
Missing interactions: q0-q4, q1-q5.
The one-step AI route swaps B and E, satisfying all three required interactions on this IBM Heron-style sparse graph.
Why this lab matters
Curriculum fit
Qubit Routing Sandbox sits inside Module 2to reinforce the module's core teaching objective through direct manipulation rather than summary-only reading.
Module 2 simulations focus on the classical support machinery that keeps near-term quantum workflows tractable under sparse hardware and small qubit budgets.
Keep exploring