Quantum Noise Mitigation with Adaptive Zero-Noise Extrapolation: A Contextual Multi-Armed Bandits Approach
Researchers propose an adaptive zero-noise extrapolation method that uses a contextual multi-armed bandit algorithm to dynamically select noise scaling factors, potentially reducing the measurement overhead of error mitigation.
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What this could mean
- 0–2 yearsPlausible
This technique could be integrated into quantum computing SDKs to provide a default adaptive error mitigation strategy, improving the reliability of noisy intermediate-scale quantum devices without manual tuning.
The method is demonstrated numerically and addresses a practical trade-off between bias and variance in error mitigation. Integration into existing frameworks like Qiskit or Cirq is a straightforward software engineering step.
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