Repetition-code-based readout error detection and correction across hardware platforms and generations

Quantum processors are hindered by readout errors, a dominant source of noise that affects classical measurement outcomes. Researchers have developed a solution using classical coding techniques to detect and correct these errors. By redundantly encoding data qubits with ancilla qubits immediately before measurement, the resulting bit string can be used to identify and rectify errors. This approach can be applied across various hardware platforms and generations, making it a versatile solution for mitigating readout errors. The technique leverages repetition-code-based readout error detection and correction, which can be implemented without requiring significant modifications to existing quantum processors. This breakthrough has significant implications for improving the accuracy of quantum computing applications, particularly those relying on expectation-value estimation and sampling-based methods¹. The ability to correct readout errors using classical coding techniques is a crucial step forward in enhancing the reliability of quantum processors, and practitioners should take note of this development to optimize their quantum computing workflows.