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How is quantum error correction implemented in near-term quantum devices?
Asked on Feb 21, 2026
Answer
Quantum error correction (QEC) is crucial for maintaining coherence and fidelity in quantum computations, especially in near-term quantum devices where noise and decoherence are significant challenges. Near-term devices often use error mitigation techniques and small-scale QEC codes, such as the surface code, to manage errors without requiring full fault tolerance.
Example Concept: Quantum error correction in near-term devices typically involves using small QEC codes like the surface code or repetition code. These codes are designed to detect and correct specific types of errors (e.g., bit-flip or phase-flip) by encoding logical qubits into multiple physical qubits. The surface code, for instance, arranges qubits in a 2D grid and uses stabilizer measurements to identify and correct errors, leveraging the redundancy of qubit states to preserve information.
Additional Comment:
- QEC implementations require additional qubits for encoding logical qubits, which increases the resource overhead.
- Near-term devices often use error mitigation techniques, such as zero-noise extrapolation or probabilistic error cancellation, alongside QEC.
- Frameworks like Qiskit and Cirq provide tools for simulating QEC codes and testing their effectiveness on quantum hardware.
- QEC is an active area of research, with ongoing efforts to improve code efficiency and reduce qubit overhead.
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