Quantum phase estimation algorithm in presence of static imperfections
Ignacio Garcia-Mata, Dima L. Shepelyansky (CNRS, Toulouse III)

TL;DR
This paper investigates how static imperfections impact the quantum phase estimation algorithm with two qubits, showing they have a greater effect than random noise, and demonstrates that PAREC can improve accuracy.
Contribution
It provides a numerical analysis of static imperfections on quantum phase estimation and introduces PAREC as an effective correction method.
Findings
Static imperfections significantly reduce success probability.
Random noise errors have less impact than static imperfections.
PAREC improves algorithm accuracy under static imperfections.
Abstract
We study numerically the effects of static imperfections and residual couplings between qubits for the quantum phase estimation algorithm with two qubits. We show that the success probability of the algorithm is affected significantly more by static imperfections than by random noise errors in quantum gates. An improvement of the algorithm accuracy can be reached by application of the Pauli-random-error-correction method (PAREC).
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