Coherent coupling of two remote magnonic resonators mediated by superconducting circuits

Kavli Affiliate: Clarence L. Chang | First 5 Authors: Yi Li, Volodymyr G. Yefremenko, Marharyta Lisovenko, Cody Trevillian, Tomas Polakovic | Summary: We demonstrate microwave-mediated distant magnon-magnon coupling on a superconducting circuit platform, incorporating chip-mounted single-crystal Y$_3$Fe$_5$O$_{12}$ (YIG) spheres. Coherent level repulsion and dissipative level attraction between the magnon modes of the two YIG spheres […]


Continue.. Coherent coupling of two remote magnonic resonators mediated by superconducting circuits

Lensing or luck? False alarm probabilities for gravitational lensing of gravitational waves

Kavli Affiliate: Daniel E. Holz | First 5 Authors: Mesut Çalışkan, Jose María Ezquiaga, Otto A. Hannuksela, Daniel E. Holz, | Summary: Strong gravitational lensing of gravitational waves (GWs) has been forecasted to become detectable in the upcoming observing runs. However, definitively distinguishing pairs of lensed sources from random associations is a challenging problem. We […]


Continue.. Lensing or luck? False alarm probabilities for gravitational lensing of gravitational waves

Current Challenges in Cepheid Distance Calibrations Using Gaia EDR3

Kavli Affiliate: Wendy L. Freedman | First 5 Authors: Kayla A. Owens, Wendy L. Freedman, Barry F. Madore, Abigail J. Lee, | Summary: Using parallaxes from Gaia Early Data Release 3 (EDR3), we determine multi-wavelength BVI, JHK, and [3.6] & [4.5] micron absolute magnitudes for 37 nearby Milky Way Cepheids, covering the period range between […]


Continue.. Current Challenges in Cepheid Distance Calibrations Using Gaia EDR3

DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification

Kavli Affiliate: Brian Nord | First 5 Authors: Aleksandra Ćiprijanović, Diana Kafkes, Gregory Snyder, F. Javier Sánchez, Gabriel Nathan Perdue | Summary: Data processing and analysis pipelines in cosmological survey experiments introduce data perturbations that can significantly degrade the performance of deep learning-based models. Given the increased adoption of supervised deep learning methods for processing […]


Continue.. DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes