State Stabilization for Gate-Model Quantum Computers

TL;DR

This paper introduces a method to stabilize optimal quantum states in gate-model quantum computers, enhancing their reliability for near-term quantum computations by classifying stability classes.

Contribution

It proposes a novel stabilization technique for quantum states that can be applied over multiple sequences and includes a classification procedure for stability states.

Findings

Effective stabilization of quantum states demonstrated

Classification of quantum states into stability classes

Applicable to near-term gate-model quantum computers

Abstract

Gate-model quantum computers can allow quantum computations in near-term implementations. The stabilization of an optimal quantum state of a quantum computer is a challenge, since it requires stable quantum evolutions via a precise calibration of the unitaries. Here, we propose a method for the stabilization of an optimal quantum state of a quantum computer through an arbitrary number of running sequences. The optimal state of the quantum computer is set to maximize an objective function of an arbitrary problem fed into the quantum computer. We also propose a procedure to classify the stabilized quantum states of the quantum computer into stability classes. The results are convenient for gate-model quantum computations and near-term quantum computers.