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[APS March Meeting] Error-robust controls in quantum algorithms.
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Current commercial quantum computers are prone to various kinds of noise processes, such as leakage and dephasing, which degrade the performance of quantum algorithms. These errors can be dynamically suppressed by designing quantum controls that are robust to the underlying noise processes. In this APS March Meeting presentation Dr Anurag Mishra Senior Quantum Control Engineer at Q-CTRL, will focus on the impact of using such validated control techniques on the performance of the variational quantum eigensolver (VQE).
VQE is a NISQ-era quantum algorithm which has been used successfully to find the ground state energy of small molecules. This particular algorithm is thought to exhibit some inherent resistance to noise; however, it is not clear how such algorithms are impacted by errors which are correlated in space and time across quantum gates. In this talk, we discuss numerical simulation of the impact of common correlated noise processes on these algorithms. We shall demonstrate how optimally designed robust quantum controls can reduce the impact of various noise sources and improve the performance of quantum algorithms on commercial devices.
VQE is a NISQ-era quantum algorithm which has been used successfully to find the ground state energy of small molecules. This particular algorithm is thought to exhibit some inherent resistance to noise; however, it is not clear how such algorithms are impacted by errors which are correlated in space and time across quantum gates. In this talk, we discuss numerical simulation of the impact of common correlated noise processes on these algorithms. We shall demonstrate how optimally designed robust quantum controls can reduce the impact of various noise sources and improve the performance of quantum algorithms on commercial devices.