Tootfinder

Just not a very sunny summer in #NewJersey ! The line is last year which really spiked in june/july and this year is so flat.
#solar #nj

My fair city of Roanoke attained “Bee City USA” status in 2022, which aims to “promote healthy, sustainable habitats for bees and other pollinators, responsible for the reproduction of nearly 90% of the world’s flowering plant species and one in every three bites of food we eat.”
Last night, a couple of garden clubs teamed up with the city to screen a new PBS Nature documentary, “My Garden of a Thousand Bees”.

My Garden of a Thousand Bees
New PBS documentary following wildlife filmmaker Martin Dohrn as he films more than 60 species of bees in his urban garden in Bristol, England, during the COVID-19 2020 lockdown.

Envelope Control Enabled Probabilistic Shaping for Peak Power Constrained IM DD Systems
Dongdong Zou, Wei Wang, Jiawen Yao, Zhongxing Tian, Zeyu Feng, Huan Huang, Fan Li, Gordon Ning Liu, Gangxiang Shen, Yi Cai
https://arxiv.org/abs/2507.18149

Envelope Control Enabled Probabilistic Shaping for Peak Power Constrained IM DD Systems
Probabilistic shaping (PS) has attracted significant attention in intensity-modulation and direct-detection (IM-DD) systems. However, due to the unique system model and inherent constraints, the effective application of the PS technique is still an open question in IM-DD systems, particularly in systems with memory effects. In this paper, a novel indirect PS scheme tailored for peak power constrained (PPC) IM-DD systems is proposed. The key idea lies in strategically controlling the signal enve…

Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
Dongxuan Zhu, Weihuan Huang, Caihua Chen
https://arxiv.org/abs/2507.18277

Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
We develop an adaptive Nesterov accelerated proximal gradient (adaNAPG) algorithm for stochastic composite optimization problems, boosting the Nesterov accelerated proximal gradient (NAPG) algorithm through the integration of an adaptive sampling strategy for gradient estimation. We provide a complexity analysis demonstrating that the new algorithm, adaNAPG, achieves both the optimal iteration complexity and the optimal sample complexity as outlined in the existing literature. Additionally, we …

Gradient regularity for double-phase orthotropic functionals
Stefano Almi, Chiara Leone, Gianluigi Manzo
https://arxiv.org/abs/2507.18474 https://arxiv.org…

Gradient regularity for double-phase orthotropic functionals
We prove higher integrability for local minimizers of the double-phase orthotropic functional \[ \sum_{i=1}^{n}\int_Ω\left(\left|u_{x_i}\right|^p+a(x)\left| u_{x_i}\right|^q\right)dx \] when the weight function $a \geq0$ is assumed to be $α$-Hölder continuous, while the exponents $p, q$ are such that $2 \leq p \leq q$ and $\frac{q}{p} < 1 + \fracα{n}$. Under natural Sobolev regularity of~$a$, we further obtain explicit Lipschitz regularity estimates for local minimizer…

Transverse Polarization Gradient Entangling Gates for Trapped-Ion Quantum Computation
Jin-Ming Cui, Yan Chen, Yi-Fan Zhou, Quan Long, En-Teng An, Ran He, Yun-Feng Huang, Chuan-Feng Li, Guang-Can Guo
https://arxiv.org/abs/2506.19691

Transverse Polarization Gradient Entangling Gates for Trapped-Ion Quantum Computation
The construction of entangling gates with individual addressing capability represents a crucial approach for implementing quantum computation in trapped ion crystals. Conventional entangling gate schemes typically rely on laser beam wave vectors to couple the ions' spin and motional degrees of freedom. Here, we experimentally demonstrate an alternative method that employs a polarization gradient field generated by a tightly focused laser beam, previously proposed as a Magnus-type quantum logic …

A quasi-Grassmannian gradient flow model for eigenvalue problems
Shengyue Wang, Aihui Zhou
https://arxiv.org/abs/2506.20195 https://a…

A quasi-Grassmannian gradient flow model for eigenvalue problems
We propose a quasi-Grassmannian gradient flow model for eigenvalue problems of linear operators, aiming to efficiently address many eigenpairs. Our model inherently ensures asymptotic orthogonality: without the need for initial orthogonality, the solution naturally evolves toward being orthogonal over time. We establish the well-posedness of the model, and provide the analytical representation of solutions. Through asymptotic analysis, we show that the gradient converges exponentially to zero a…

Flexoelectric Polarization Enhancement in Paraelectric $\mathrm{BaHfO_3}$ via Strain Gradient Engineering
Timo Piecuch, Jeffrey A. Brock, Xiaochun Huang, Arnold M. M\"uller, Christof Vockenhuber, Christof W. Schneider, Thomas Lippert, Nick A. Shepelin
https://arxiv.org/abs/2506.19690

Flexoelectric Polarization Enhancement in Paraelectric $\mathrm{BaHfO_3}$ via Strain Gradient Engineering
Flexoelectricity - polarization induced by strain gradients - offers a route to polar functionality in centrosymmetric dielectrics, where traditional piezoelectric effects are absent. This study investigates the flexoelectric effect in epitaxial $\mathrm{BaHfO_3}$ (BHO) thin films, a centrosymmetric and paraelectric perovskite. While a large lattice mismatch induces defect-driven relaxation, a coherently grown BHO film undergoes elastic relaxation, forming intrinsic strain gradients exceeding $…

Interplay between Symmetry Breaking and Interactions in a Symmetry Protected Topological Phase
Parameshwar R. Pasnoori, Patrick Azaria
https://arxiv.org/abs/2506.19771

Interplay between Symmetry Breaking and Interactions in a Symmetry Protected Topological Phase
We solve the one dimensional massive Thirring model or equivalently the sine-Gordon model in the repulsive regime with general Dirichlet boundary conditions, which are characterized by two boundary fields $ϕ_{L,R}$ associated with the left and right boundaries respectively. In the presence of these boundary fields, which explicitly break the charge conjugation symmetry, the system exhibits a duality symmetry which changes the sign of the mass parameter $m_0$ and shifts the values of the bounda…

A Zeroth-Order Extra-Gradient Method For Black-Box Constrained Optimization
Yuke Zhou, Ruiyang Jin, Siyang Gao, Jianxiao Wang, Jie Song
https://arxiv.org/abs/2506.20546

A Zeroth-Order Extra-Gradient Method For Black-Box Constrained Optimization
Non-analytical objectives and constraints often arise in control systems, particularly in problems with complex dynamics, which are challenging yet lack efficient solution methods. In this work, we consider general constrained optimization problems involving black-box objectives and constraints. To solve it, we reformulate it as a min-max problem and propose a zeroth-order extra gradient (ZOEG) algorithm that combines the extra gradient method with a feedback-based stochastic zeroth-order gradi…