Accuracy vs fabric cost
Each point is one method under the shared five-transmon protocol. Higher is better joint assignment accuracy; left is lower estimated LUT cost.
Filter-based methods cluster toward cheaper fabric. Neural and hybrid methods trade cost for accuracy. Use the goals page to turn this ranking into LER or a NISQ operating point.
Marker size scales with estimated latency.
Joint accuracy can hide a weak multiplexed channel.
Hover for method, accuracy, and estimated LUT.
Turn numbers into a goal
Assignment quality is an input. Logical error, idle exposure, and cycle time — or a NISQ accuracy–latency knee — are the endings.
FTQC and NISQ goals