Authors: Stancho G. Stanchev, Nikolay V. Vitanov

Published on: February 06, 2024

Impact Score: 8.22

Arxiv code: Arxiv:2402.04128

Summary

• What is new: A method to enhance Quantum Process Tomography (QPT) by addressing errors not effectively handled in previous research.
• Why this is important: Errors caused by state preparation and measurement (SPAM), readout, and shot noise in QPT.
• What the research proposes: Performing QPT on multiple applications of the same gate and deducing the single-process Pauli transfer matrix (PTM) using iterative and linearized approaches.
• Results: The proposed method achieves higher accuracy and precision in PTM by significantly reducing SPAM, readout, and shot noise errors.

Technical Details

Technological frameworks used: IBMQ Quantum and ibmq_qasm_simulator

Models used: Iterative approach, Linearized approach solving the Sylvester equation

Data used: Pauli transfer matrix (PTM) measurements

Potential Impact

Quantum computing, particularly companies developing quantum processors and applications that rely on high-precision QPT.

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