Non-Gaussian photonic state engineering with the quantum frequency processor
Andrew J. Pizzimenti, Joseph M. Lukens, Hsuan-Hao Lu, Nicholas A., Peters, Saikat Guha, and Christos N. Gagatsos

TL;DR
This paper presents a versatile method for generating non-Gaussian quantum states of light using a quantum frequency processor, enabling efficient production of complex states like Schrödinger cat states in frequency bins.
Contribution
It introduces a general framework combining frequency-based quantum information and non-Gaussian state preparation, with a theoretical model and optimized circuit designs.
Findings
Designed circuits for Schrödinger cat states production
Analyzed performance tradeoffs for different circuit configurations
Provided a numerical optimization approach for state engineering
Abstract
Non-Gaussian quantum states of light are critical resources for optical quantum information processing, but methods to generate them efficiently remain challenging to implement. Here we introduce a generic approach for non-Gaussian state production from input states populating discrete frequency bins. Based on controllable unitary operations with a quantum frequency processor, followed by photon-number-resolved detection of ancilla modes, our method combines recent developments in both frequency-based quantum information and non-Gaussian state preparation. Leveraging and refining the K-function representation of quantum states in the coherent basis, we develop a theoretical model amenable to numerical optimization and, as specific examples, design quantum frequency processor circuits for the production of Schr\"{o}dinger cat states, exploring the performance tradeoffs for several…
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