Dynamical Gaussian state transfer with quantum error correcting architecture

TL;DR

This paper introduces a dynamical feedback control scheme employing quantum error correction to enhance the fidelity of Gaussian state transfer from light to a noisy linear medium memory, demonstrated through numerical simulation.

Contribution

It proposes a novel feedback control method using quantum error correction for Gaussian state transfer in noisy linear systems, leveraging Kalman filtering and LQG control.

Findings

Effective noise suppression in the memory system.

Successful numerical demonstration of the control scheme.

Enhanced state transfer fidelity achieved.

Abstract

Transferring a quantum state of a light field to a memory is of particular importance. However, this transfer is usually hampered because the memory system is subjected to some noise and this can limit the performance of the state transfer to a great extent. In this paper, we consider the transfer of a Gaussian state of light to a linear medium memory such as an opto-mechanical oscillator and propose a dynamical feedback controller that suppresses the noise in the memory system. To protect an unknown state, the feedback scheme employs the specific configuration of the quantum error correction; that is, a three-mode Gaussian state having appropriate syndromes is taken as the input. Correspondingly, the memory consists of three independent linear systems. The syndrome errors are estimated continuously in time through the measurement of the output field, and the results are then fed back to control the system. Because the input is Gaussian and the systems are all linear, it is possible to formulate the problem using the framework of the celebrated classical Kalman filtering and linear quadratic Gaussian control. A numerical simulation demonstrates the effectiveness of the control scheme.