On games and simulators as a platform for development of artificial intelligence for command and control

Kavli Affiliate: John Richardson | Summary:Games and simulators can be a valuable platform to execute complex multi-agent, multiplayer, imperfect information scenarios with significant parallels to military applications: multiple participants manage resources and make decisions that command assets to secure specific areas of a map or neutralize opposing forces. These characteristics have attracted the artificial intelligence […]


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A Logarithmic Bayesian Approach to Quantum Error Detection

Kavli Affiliate: K. Birgitta Whaley | First 5 Authors: Ian Convy, K. Birgitta Whaley, , , | Summary: We consider the problem of continuous quantum error correction from a Bayesian perspective, proposing a pair of digital filters using logarithmic probabilities that are able to achieve near-optimal performance on a three-qubit bit-flip code while still being […]


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Deep Realistic Extragalactic Model (DREaM) Galaxy Catalogs: Predictions for a Roman Ultra-Deep Field

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Nicole E. Drakos, Bruno Villasenor, Brant E. Robertson, Ryan Hausen, Mark E. Dickinson | Summary: In the next decade, deep galaxy surveys from telescopes such as the James Webb Space Telescope and Roman Space Telescope will provide transformational data sets that will greatly enhance the understanding […]


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Kilonova and Optical Afterglow from Binary Neutron Star Mergers. II. Optimal Search Strategy for Serendipitous Observations and Target-of-opportunity Observations of Gravitational-wave Triggers

Kavli Affiliate: Lijing Shao | First 5 Authors: Jin-Ping Zhu, Shichao Wu, Yuan-Pei Yang, Chang Liu, Bing Zhang | Summary: In the second work of this series, we explore the optimal search strategy for serendipitous and gravitational-wave-triggered target-of-opportunity (ToO) observations of kilonovae and optical short-duration gamma-ray burst (sGRB) afterglows from binary neutron star (BNS) mergers, […]


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Machine Learning for Continuous Quantum Error Correction on Superconducting Qubits

Kavli Affiliate: K. Birgitta Whaley | First 5 Authors: Ian Convy, Haoran Liao, Song Zhang, Sahil Patel, William P. Livingston | Summary: We propose a machine learning algorithm for continuous quantum error correction that is based on the use of a recurrent neural network to identity bit-flip errors from continuous noisy syndrome measurements. The algorithm […]


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EuCAPT White Paper: Opportunities and Challenges for Theoretical Astroparticle Physics in the Next Decade

Kavli Affiliate: A. C. Davis | Summary:Astroparticle physics is undergoing a profound transformation, due to a series of extraordinary new results, such as the discovery of high-energy cosmic neutrinos with IceCube, the direct detection of gravitational waves with LIGO and Virgo, and many others. This white paper is the result of a collaborative effort that […]


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Full tunability enabled by Floquet engineering in a multilevel quantum dot system

Kavli Affiliate: Ke Wang | First 5 Authors: Yuan Zhou, Sisi Gu, Ke Wang, Gang Cao, Xuedong Hu | Summary: Tunability of an artificial quantum system is crucial to its capability to process quantum information. However, tunability usually poses significant demand on the design and fabrication of a device. In this work, we demonstrate that […]


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The Simons Observatory: Constraining inflationary gravitational waves with multi-tracer B-mode delensing

Kavli Affiliate: Toshiya Namikawa | First 5 Authors: Toshiya Namikawa, Anton Baleato Lizancos, Naomi Robertson, Blake D. Sherwin, Anthony Challinor | Summary: We introduce and validate a delensing framework for the Simons Observatory (SO), which will be used to improve constraints on inflationary gravitational waves (IGWs) by reducing the lensing noise in measurements of the […]


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