Adaptive Non-Gaussian Quantum State Engineering

TL;DR

This paper introduces adaptive schemes for generating non-Gaussian quantum states of bosons, improving success probability and fidelity, and enhancing loss tolerance, thus advancing quantum information applications.

Contribution

It extends passive architectures with adaptive methods, demonstrating numerical improvements in success and fidelity for non-Gaussian state generation.

Findings

Adaptive schemes increase success probability and fidelity.

Adaptive methods improve loss tolerance.

Numerical results show consistent performance gains.

Abstract

Non-Gaussian quantum states of bosons are a key resource in quantum information science with applications ranging from quantum metrology to fault-tolerant quantum computation. Generation of photonic non-Gaussian resource states, such as Schr\"odinger's cat and Gottesman-Kitaev-Preskill states, is challenging. In this work, we extend on existing passive architectures and explore a broad set of adaptive schemes. Our numerical results demonstrate a consistent improvement in the probability of success and fidelity of generating these non-Gaussian quantum states with equivalent resources. We also explore the effect of loss as the primary limiting factor and observe that adaptive schemes lead to more desirable outcomes in terms of overall probability of success and loss tolerance. Our work offers a versatile framework for non-Gaussian resource state generation with the potential to guide future experimental implementations.