55 citations · 146 across the 37 of their papers we have counts for
7 papers · 1 filter
ACTS: A multi-tier benchmark evaluating LLM cipher identification under controlled blind conditions
Youssef Hamdi Zafaan Ibrahim, Mohammed Khalaf Salama
We introduce ACTS (Artifacts in Cipher Testing Suite), a reproducible benchmark that isolates cryptanalytic ability through tiered metadata deprivation (Tier-1: full metadata; Tier…
A mean-field description of strong-to-weak symmetry breaking in the monitored Bose-Hubbard model
Yicheng Tang, Pradip Kattel, J. H. Pixley
Strong-to-weak spontaneous symmetry breaking has emerged as a novel form of ordering in monitored and open quantum systems, yet its characterization has so far primarily relied on…
Measurement and feedback-driven adaptive dynamics in the classical and quantum kicked top
Mahaveer Prasad, Ahana Chakraborty, Thomas Iadecola +4
In classical dynamical systems, stochastic feedback can stabilize otherwise unstable periodic orbits, giving rise to distinct controlled and uncontrolled phases as the rate of cont…
Finite temperature correlation functions of the sine--Gordon model
M. Tóth, J. H. Pixley, G. Takács +1
The sine-Gordon model serves as a foundational -dimensional quantum field theory with numerous applications in condensed matter physics. Despite its integrability, characteriz…
Topological Kondo Insulator from Spin Loop Currents
Andreas Gleis, Kevin Lucht, Po-Jui Chen +3
We demonstrate that interacting electrons in AB-stacked realize a topological Kondo insulator at hole filling per moiré unit cell. In the pre…
Universal monitored dynamics in multimode bosonic systems
Shivam Patel, Catherine McCarthy, Ahana Chakraborty +5
We propose a route to study monitored many-body dynamics in multimode bosonic systems using circuit quantum electrodynamics. In this experimental setting, we construct several boso…
Pruning-induced phases in fully-connected neural networks: the eumentia, the dementia, and the amentia
Haining Pan, Nakul Aggarwal, J. H. Pixley
Modern neural networks are heavily overparameterized, and pruning, which removes redundant neurons or connections, has emerged as a key approach to compressing them without sacrifi…