On the Comparison of AGN with GRMHD Simulations: II. M87

Kavli Affiliate: Roger Blandford | First 5 Authors: Richard Anantua, Angelo Ricarte, George Wong, Razieh Emami, Roger Blandford | Summary: Horizon-scale observations of the jetted active galactic nucleus M87 are compared with simulations spanning a broad range of dissipation mechanisms and plasma content in three-dimensional general relativistic flows around spinning black holes. Observations of synchrotron […]


Continue.. On the Comparison of AGN with GRMHD Simulations: II. M87

On the Comparison of AGN with GRMHD Simulations: II. M87

Kavli Affiliate: Roger Blandford | First 5 Authors: Richard Anantua, Angelo Ricarte, George Wong, Razieh Emami, Roger Blandford | Summary: Horizon-scale observations of the jetted active galactic nucleus M87 are compared with simulations spanning a broad range of dissipation mechanisms and plasma content in three-dimensional general relativistic flows around spinning black holes. Observations of synchrotron […]


Continue.. On the Comparison of AGN with GRMHD Simulations: II. M87

Introspective Deep Metric Learning

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: This paper proposes an introspective deep metric learning (IDML) framework for uncertainty-aware comparisons of images. Conventional deep metric learning methods focus on learning a discriminative embedding to describe the semantic features of images, which ignore […]


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Line profile of nuclear de-excitation gamma-ray emission from very hot plasma

Kavli Affiliate: Tadayuki Takahashi | First 5 Authors: Hiroki Yoneda, Felix Aharonian, Paolo Coppi, Thomas Siegert, Tadayuki Takahashi | Summary: De-excitation gamma-ray lines, produced by nuclei colliding with protons, provide information about astrophysical environments where particles have kinetic energies of $10-100$ MeV per nucleon. In general, such environments can be categorized into two types: the […]


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Polyimides Crosslinked by Aromatic Molecules and Nanocomposites for High Temperature Capacitive Energy Storage

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Hao Wang, Xiaoming Shi, Chunli Diao, Chaolong Li | Summary: High temperature polymer-based dielectric capacitors are crucial for application in electronic power systems. However, the storage performance of conventional dielectrics polymer dramatically deteriorates due to the thermal breakdown under concurrent high temperatures and electric fields, […]


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High-dimensional time-frequency entanglement in a singly-filtered biphoton frequency comb

Kavli Affiliate: Andrei Faraon | First 5 Authors: Xiang Cheng, Kai-Chi Chang, Murat Can Sarihan, Andrew Mueller, Maria Spiropulu | Summary: High-dimensional quantum entanglement is a cornerstone for advanced technology enabling large-scale noise-tolerant quantum systems, fault-tolerant quantum computing, and distributed quantum networks. The recently developed biphoton frequency comb (BFC) provides a powerful platform for high-dimensional […]


Continue.. High-dimensional time-frequency entanglement in a singly-filtered biphoton frequency comb

High-dimensional time-frequency entanglement in a singly-filtered biphoton frequency comb

Kavli Affiliate: Andrei Faraon | First 5 Authors: Xiang Cheng, Kai-Chi Chang, Murat Can Sarihan, Andrew Mueller, Maria Spiropulu | Summary: High-dimensional quantum entanglement is a cornerstone for advanced technology enabling large-scale noise-tolerant quantum systems, fault-tolerant quantum computing, and distributed quantum networks. The recently developed biphoton frequency comb (BFC) provides a powerful platform for high-dimensional […]


Continue.. High-dimensional time-frequency entanglement in a singly-filtered biphoton frequency comb

Fully scalable randomized benchmarking without motion reversal

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Jordan Hines, Daniel Hothem, Robin Blume-Kohout, Birgitta Whaley, Timothy Proctor | Summary: We introduce binary randomized benchmarking (BiRB), a protocol that streamlines traditional RB by using circuits consisting almost entirely of i.i.d. layers of gates. BiRB reliably and efficiently extracts the average error rate of a Clifford […]


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Approximate Lie symmetries and singular perturbation theory

Kavli Affiliate: L. Mahadevan | First 5 Authors: Alexander J. Dear, L. Mahadevan, , , | Summary: Singular perturbation theory plays a central role in the approximate solution of nonlinear differential equations. However, applying these methods is a subtle art owing to the lack of globally applicable algorithms. Inspired by the fact that all exact […]


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Approximate Lie symmetries and singular perturbation theory

Kavli Affiliate: L. Mahadevan | First 5 Authors: Alexander J. Dear, L. Mahadevan, , , | Summary: Perturbation theory plays a central role in the approximate solution of nonlinear differential equations. The resultant series expansions are usually divergent and require treatment by singular perturbation methods to generate uniformly valid solutions. However, applying these methods is […]


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