Robust Characterization of Loss Rates.

Area of Science:

• Quantum Information Science
• Quantum Computing Hardware
• Quantum Error Correction

Background:

• Physical qubits, essential for quantum computing, are susceptible to loss, hindering fault-tolerant operations.
• Existing methods to mitigate qubit loss introduce overhead dependent on the loss rate.
• Developing robust techniques to quantify and manage qubit loss is crucial for scalable quantum computation.

Purpose of the Study:

• To present a scalable and platform-independent protocol for estimating average qubit loss rates from arbitrary Markovian noise.
• To provide an independent estimation of detector efficiency.
• To enhance the reliability of quantum error rate estimations and identify non-Markovian signatures.

Main Methods:

• A novel protocol is introduced to estimate the average loss rate across all input states.
• The method quantifies detector efficiency independently.
• The protocol integrates with randomized benchmarking to provide additional constraints on error parameters.

Main Results:

• The protocol accurately estimates the average loss rate and detector efficiency for quantum systems.
• It improves the reliability of randomized benchmarking by providing an additional constraint on estimated parameters.
• New indicators for non-Markovian noise signatures in experimental data are identified.

Conclusions:

• The presented protocol offers a scalable and platform-independent solution for quantifying qubit loss in quantum computing.
• It enhances the accuracy of error rate estimations and provides insights into noise processes.
• The findings contribute to the development of more robust and fault-tolerant quantum information processing.