Analytical quantification of strongly disordered discrete time crystals

Posted by klaurent UCAS

Kavli Affiliate: Biao Huang | Summary:Discrete time crystals (DTCs) have emerged as a novel non-equilibrium phenomenon. Nevertheless, analytical quantification for disordered DTCs remains challenging, leaving uncertainties about their behaviors in large scale systems amid current debates on the stability of (Floquet-)many-body localization. In this work, we introduce an analytical framework to calculate the values of […]


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Entanglement Dynamics by (Non-)Unitary Local Operator Quenches in a 2D Holographic CFT

Posted by klaurent UCAS

Kavli Affiliate: Masahiro Nozaki | Summary:In this paper, we investigate the time evolution of entanglement entropy and mutual information for the spatially-infinite systems where we act with a primary operator on the vacuum state and then time-evolve it with the sequence of the Euclidean and Lorentzian time evolutions. Two-dimensional holographic conformal field theories describe the […]


Continue.. Entanglement Dynamics by (Non-)Unitary Local Operator Quenches in a 2D Holographic CFT

Entanglement Dynamics by (Non-)Unitary Local Operator Quenches in a 2D Holographic CFT

Posted by klaurent UCAS

Kavli Affiliate: Masahiro Nozaki | Summary:In this paper, we investigate the time evolution of entanglement entropy and mutual information for the spatially-infinite systems where we act with a primary operator on the vacuum state and then time-evolve it with the sequence of the Euclidean and Lorentzian time evolutions. Two-dimensional holographic conformal field theories describe the […]


Continue.. Entanglement Dynamics by (Non-)Unitary Local Operator Quenches in a 2D Holographic CFT

DuetSVG: Unified Multimodal SVG Generation with Internal Visual Guidance

Posted by klaurent UCSB

Kavli Affiliate: Matthew Fisher | Summary:Recent vision-language model (VLM)-based approaches have achieved impressive results on SVG generation. However, because they generate only text and lack visual signals during decoding, they often struggle with complex semantics and fail to produce visually appealing or geometrically coherent SVGs. We introduce DuetSVG, a unified multimodal model that jointly generates […]


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RELIC: Interactive Video World Model with Long-Horizon Memory

Posted by klaurent UCSB

Kavli Affiliate: Matthew Fisher | Summary:A truly interactive world model requires three key ingredients: real-time long-horizon streaming, consistent spatial memory, and precise user control. However, most existing approaches address only one of these aspects in isolation, as achieving all three simultaneously is highly challenging-for example, long-term memory mechanisms often degrade real-time performance. In this work, […]


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Information dynamics and symmetry breaking in generic monitored $mathbbZ_2$-symmetric open quantum systems

Posted by klaurent UCSB

Kavli Affiliate: Matthew Fisher | Summary:We investigate the steady-state phases of generic $mathbbZ_2$-symmetric monitored, open quantum dynamics. We describe the phases systematically in terms of both information-theoretic diagnostics and spontaneous breaking of strong and weak symmetries of the dynamics. We find a completely broken phase where information is retained by the quantum system, a strong-to-weak […]


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Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Posted by klaurent UCSB

Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]


Continue.. Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Posted by klaurent UCSB

Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]


Continue.. Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Posted by klaurent UCSB

Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]


Continue.. Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Posted by klaurent UCSB

Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]


Continue.. Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent