Error Mitigation in the NISQ Era: Applying Measurement Error Mitigation Techniques to Enhance Quantum Circuit Performance

Misha Urooj Khan, Muhammad Ahmad Kamran (), Wajiha Rahim Khan, Malik Muhammad Ibrahim, Muhammad Umair Ali () and Seung Won Lee ()
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Misha Urooj Khan: Artificial Intelligence Technology Centre (AITeC), National Centre for Physics (NCP), Islamabad 44000, Pakistan
Muhammad Ahmad Kamran: Artificial Intelligence Technology Centre (AITeC), National Centre for Physics (NCP), Islamabad 44000, Pakistan
Wajiha Rahim Khan: Artificial Intelligence Technology Centre (AITeC), National Centre for Physics (NCP), Islamabad 44000, Pakistan
Malik Muhammad Ibrahim: Department of Scientific Computing, Pukyong National University, Busan 48513, Republic of Korea
Muhammad Umair Ali: Department of Artificial Intelligence and Robotics, Sejong University, Seoul 05006, Republic of Korea
Seung Won Lee: Department of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea

Mathematics, 2024, vol. 12, issue 14, 1-21

Abstract: In quantum computing, noisy intermediate-scale quantum (NISQ) devices offer unprecedented computational capabilities but are vulnerable to errors, notably measurement inaccuracies that impact computation accuracy. This study explores the efficacy of error mitigation techniques in improving quantum circuit performance on NISQ devices. Techniques such as dynamic decoupling (DD), twirled readout error extraction (T-REx) and zero-noise extrapolation (ZNE) are examined through extensive experimentation on an ideal simulator, IBM Kyoto, and IBM Osaka quantum computers. Results reveal significant performance discrepancies across scenarios, with error mitigation techniques notably enhancing both estimator result and variance values, aligning more closely with ideal simulator outcomes. The comparison results with ideal simulator (having expected result value 0.8284) shows that T-Rex has improved results on IBM Kyoto and enhanced average expected result value from 0.09 to 0.35. Similarly, DD has improved average expected result values from 0.2492 to 0.3788 on IBM Osaka. These findings underscore the critical role of error mitigation in bolstering quantum computation reliability. The results suggest that selection of mitigation technique depends upon quantum circuit and its depth, type of hardware and operations to be performed.

Keywords: quantum computing; measurement error mitigation; NISQ (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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