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Researchers have demonstrated that amplitude damping can outperform Pauli twirling in variational quantum circuits by requiring fewer measurement shots while maintaining accuracy. This finding highlights a critical trade-off between computational precision and resource efficiency when mitigating noise on near-term hardware. The study isolates the impact of zero-temperature bias, offering a more efficient pathway for optimizing flexible quantum algorithms under current device limitations.
Researchers Limit Quantum Noise Loss to Three Percentage Points

A four-qubit classifier employing amplitude damping retains nearly noiseless accuracy, falling within 1. 5 percentage points, whereas its Pauli twirled counterpart loses up to 33 points with just 10³ measurement shots per image. This demonstrates that, contrary to expectation, mitigating noise via infinite temperature damping can substantially reduce performance compared to zero-temperature bias.
Variational quantum circuits using amplitude damping maintain accuracy with fewer measurement shots compared to those utilising Pauli twirl, enabling more efficient computation on noisy intermediate-scale quantum devices. Comparing these two approaches has isolated the impact of zero-temperature bias which primarily affects feature scaling within the circuit. The work reveals a trade-off between computational precision and resources needed for sampling during noise mitigation strategies. Utilising amplitude damping yields improved performance…
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