Error mitigation is a methodological approach or research field focused on minimizing the detrimental impact of errors within a system, process, or measurement. It investigates the sources, propagation, and effects of errors, and develops strategies to lessen their influence on overall outcomes, accuracy, or reliability. This concept is characterized by techniques designed to reduce the severity or likelihood of error-induced failures, inaccuracies, or performance degradation, often without necessarily correcting the errors themselves. Its significance lies in enabling reliable operation, accurate analysis, or robust computation in contexts where perfect, error-free conditions are not achievable.