VAQEM: A Variational Approach to Quantum Error Mitigation
Gokul Subramanian Ravi, Kaitlin N. Smith, Pranav Gokhale, Andrea Mari,, Nathan Earnest, Ali Javadi-Abhari, Frederic T. Chong

TL;DR
VAQEM is a variational method that dynamically customizes error mitigation techniques to the specific noise characteristics of quantum hardware, significantly improving VQA performance on IBM quantum machines.
Contribution
It introduces a flexible, variational framework for tailoring error mitigation techniques to real-time noise profiles in quantum hardware.
Findings
Achieved over 3x improvement in VQA objective measurements.
Demonstrated effectiveness on various VQA applications.
Applicable to multiple error mitigation techniques.
Abstract
Variational Quantum Algorithms (VQAs) are relatively robust to noise, but errors are still a significant detriment to VQAs on near-term quantum machines. It is imperative to employ error mitigation techniques to improve VQA fidelity. While existing error mitigation techniques built from theory provide substantial gains, the disconnect between theory and real machine execution limits their benefits. Thus, it is critical to optimize mitigation techniques to explicitly suit the target application as well as the noise characteristics of the target machine. We propose VAQEM, which dynamically tailors existing error mitigation techniques to the actual, dynamic noisy execution characteristics of VQAs on a target quantum machine. We do so by tuning specific features of these mitigation techniques similar to the traditional rotation angle parameters - by targeting improvements towards a…
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