Squeezed states are a primary resource for continuous-variable (CV) quantum information processing. To implement CV protocols in a scalable and robust way, it is desirable to generate and manipulate squeezed states using an integrated photonics platform. In this Letter, we demonstrate the generation of quadrature-phase squeezed states in the radio-frequency carrier sideband using a small-footprint silicon-nitride microresonator with a dual-pumped four-wave-mixing process. We record a squeezed noise level of 1.34 dB (±0.16  dB) below the photocurrent shot noise, which corresponds to 3.09 dB (±0.49  dB) of quadrature squeezing on chip. We also show that it is critical to account for the nonlinear behavior of the pump fields to properly predict the squeezing that can be generated in this system. This technology represents a significant step toward creating and manipulating large-scale CV cluster states that can be used for quantum information applications, including universal quantum computing.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevLett.124.193601DOI Listing

Publication Analysis

Top Keywords

squeezed states
12
near-degenerate quadrature-squeezed
4
quadrature-squeezed vacuum
4
vacuum generation
4
generation silicon-nitride
4
silicon-nitride chip
4
squeezed
4
chip squeezed
4
states
4
states primary
4

Similar Publications

Lightweight YOLOv8 for tongue teeth marks and fissures detection based on C2f_DCNv3.

Sci Rep

January 2025

Key Laboratory of Instrumentation Science, Dynamic Measurement of Ministry of Education, North University of China, Taiyuan, 030051, Shanxi, China.

This paper propose a significantly enhanced YOLOv8 model specifically designed for detecting tongue fissures and teeth marks in Traditional Chinese Medicine (TCM) diagnostic images. By integrating the C2f_DCNv3 module, which incorporates Deformable Convolutions (DCN), replace the original C2f module, enabling the model to exhibit exceptional adaptability to intricate and irregular features, such as fine fissures and teeth marks. Furthermore, the introduction of the Squeeze-and-Excitation (SE) attention mechanism optimizes feature weighting, allowing the model to focus more accurately on key regions of the image, even in the presence of complex backgrounds.

View Article and Find Full Text PDF

Purpose: This scoping review aimed to explore the use of volitional voice tasks in assessing swallowing-related outcomes and to evaluate their therapeutic impact on swallowing disorders, including their effects on swallowing biomechanics.

Method: This scoping review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. A literature search was performed across multiple databases (PubMed, Web of Science, and Scopus), and additional records were identified through manual searches.

View Article and Find Full Text PDF

Influence of Bonding Temperature on Microstructure and Mechanical Properties of AZ31/Zn/Sn/5083 Diffusion Joint.

Materials (Basel)

December 2024

Key Laboratory of Advanced Technologies of Materials, Ministry of Education China, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China.

Diffusion bonding with an interlayer is considered an effective means of obtaining Mg/Al dissimilar alloy joints. However, at low temperatures, it is often impossible to simultaneously achieve joints between the interlayer and Mg/Al under the same bonding parameters. For this reason, the interlayer is usually prefabricated on the substrate, followed by conducting diffusion bonding.

View Article and Find Full Text PDF

A new prediction model based on deep learning for pig house environment.

Sci Rep

December 2024

School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar, 161006, China.

A prediction model of the pig house environment based on Bayesian optimization (BO), squeeze and excitation block (SE), convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed to improve the prediction accuracy and animal welfare and take control measures in advance. To ensure the optimal model configuration, the model uses a BO algorithm to fine-tune hyper-parameters, such as the number of GRUs, initial learning rate and L2 normal form regularization factor. The environmental data are fed into the SE-CNN block, which extracts the local features of the data through convolutional operations.

View Article and Find Full Text PDF

Squeeze pumping of lipids and insecticides by ABCH transporter.

Cell

December 2024

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China. Electronic address:

ATP-binding cassette (ABC) transporter subfamily H is only identified in arthropods and zebrafish. It transports lipids and is related to insecticide resistance. However, the precise mechanisms of its functions remain elusive.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!