Error correction uses redundancy and decoding to protect a logical qubit while computation is happening. Error suppression tries to make the hardware behave better in the first place through pulse shaping, dynamical decoupling, layout choice, or circuit design. Error mitigation accepts that noisy results were produced and tries to infer a cleaner estimate from them.

Correction is the strongest idea, but also the most resource-intensive. It aims to preserve logical computation itself. Suppression is lighter-weight and often available on near-term hardware, but it only lowers error rates rather than eliminating them. Mitigation is often the most accessible to application teams, but it depends on assumptions and can fail badly outside the regime where those assumptions hold.

The practical consequence is simple: a mitigated answer is not the same thing as a fault-tolerant answer. A suppressed circuit is not a corrected circuit. Precision in language matters because precision in guarantees matters.

• Ask whether the platform offers real logical protection or only lower physical error rates.
• Use suppression first when you still control circuit depth, placement, and pulse-aware choices.
• Use mitigation carefully when you need a better estimate from noisy hardware and can validate assumptions against simulation or calibration data.
• Report clearly which layer you used. Otherwise readers will infer stronger guarantees than you actually had.

Correction protects logical information during the computation. Suppression lowers the error rate before things go wrong. Mitigation tries to recover a cleaner estimate after noisy results already exist. Once those roles are separated, many vague quantum claims become much easier to evaluate.