Performance of Superconducting Resonators Suspended on SiN Membranes

Kavli Affiliate: Feng Wang | First 5 Authors: Trevor Chistolini, Kyunghoon Lee, Archan Banerjee, Mohammed Alghadeer, Christian Jünger | Summary: Suspending devices on thin SiN membranes can limit their interaction with the bulk substrate and reduce parasitic capacitance to ground. While suspending devices on membranes is used in many fields including radiation detection using superconducting […]


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Performance of Superconducting Resonators Suspended on SiN Membranes

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Trevor Chistolini, Kyunghoon Lee, Archan Banerjee, Mohammed Alghadeer, Christian Jünger | Summary: Suspending devices on thin SiN membranes can limit their interaction with the bulk substrate and reduce parasitic capacitance to ground. While suspending devices on membranes is used in many fields including radiation detection using superconducting […]


Continue.. Performance of Superconducting Resonators Suspended on SiN Membranes

Performance of Superconducting Resonators Suspended on SiN Membranes

Kavli Affiliate: Feng Wang | First 5 Authors: Trevor Chistolini, Kyunghoon Lee, Archan Banerjee, Mohammed Alghadeer, Christian Jünger | Summary: Correlated errors in superconducting circuits due to nonequilibrium quasiparticles are a notable concern in efforts to achieve fault tolerant quantum computing. The propagation of quasiparticles causing these correlated errors can potentially be mediated by phonons […]


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Adversarial Attacks on Reinforcement Learning Agents for Command and Control

Kavli Affiliate: John Richardson | First 5 Authors: Ahaan Dabholkar, James Z. Hare, Mark Mittrick, John Richardson, Nicholas Waytowich | Summary: Given the recent impact of Deep Reinforcement Learning in training agents to win complex games like StarCraft and DoTA(Defense Of The Ancients) – there has been a surge in research for exploiting learning based […]


Continue.. Adversarial Attacks on Reinforcement Learning Agents for Command and Control

Adversarial Attacks on Reinforcement Learning Agents for Command and Control

Kavli Affiliate: John Richardson | First 5 Authors: Ahaan Dabholkar, James Z. Hare, Mark Mittrick, John Richardson, Nicholas Waytowich | Summary: Given the recent impact of Deep Reinforcement Learning in training agents to win complex games like StarCraft and DoTA(Defense Of The Ancients) – there has been a surge in research for exploiting learning based […]


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Universal non-Hermitian flow in one-dimensional PT-symmetric quantum criticalities

Kavli Affiliate: Ke Wang | First 5 Authors: Xin-Chi Zhou, Ke Wang, , , | Summary: The critical point of a topological phase transition is described by a conformal field theory (CFT), where the finite-size corrections to the ground state energy are uniquely related to its central charge. We study the finite-size scaling of the […]


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Constraints on conformal ultralight dark matter couplings from the European Pulsar Timing Array

Kavli Affiliate: Lijing Shao | First 5 Authors: Clemente Smarra, Adrien Kuntz, Enrico Barausse, Boris Goncharov, Diana López Nacir | Summary: Millisecond pulsars are extremely precise celestial clocks: as they rotate, the beamed radio waves emitted along the axis of their magnetic field can be detected with radio telescopes, which allows for tracking subtle changes […]


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Dynamical Freezing in Exactly Solvable Models of Driven Chaotic Quantum Dots

Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Haoyu Guo, Rohit Mukherjee, Debanjan Chowdhury, , | Summary: The late-time equilibrium behavior of generic interacting models is determined by the coupled hydrodynamic equations associated with the globally conserved quantities. In the presence of an external time-dependent drive, non-integrable systems typically thermalize to an effectively infinite-temperature state, […]


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Mineral Detection of Neutrinos and Dark Matter 2024. Proceedings

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Sebastian Baum, Patrick Huber, Patrick Stengel, Natsue Abe, Daniel G. Ang | Summary: The second "Mineral Detection of Neutrinos and Dark Matter" (MDvDM’24) meeting was held January 8-11, 2024 in Arlington, VA, USA, hosted by Virginia Tech’s Center for Neutrino Physics. This document collects contributions from this […]


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The Simons Observatory: Combining cross-spectral foreground cleaning with multi-tracer $B$-mode delensing for improved constraints on inflation

Kavli Affiliate: Toshiya Namikawa | First 5 Authors: Emilie Hertig, Kevin Wolz, Toshiya Namikawa, Antón Baleato Lizancos, Susanna Azzoni | Summary: The Simons Observatory (SO), due to start full science operations in early 2025, aims to set tight constraints on inflationary physics by inferring the tensor-to-scalar ratio $r$ from measurements of CMB polarization $B$-modes. Its […]


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