The non-disjoint ontic states of the Grassmann ontological model, transformation contextuality, and the single qubit stabilizer subtheory [0.03%]
Grassmann本体论模型的非不相交本体状态、变换上下文相关性以及单量子比特稳定子次理论
Lucas Kocia,Peter Love
Lucas Kocia
We show that it is possible to construct a preparation non-contextual ontological model that does not exhibit 'transformation contextuality' for single qubits in the stabilizer subtheory. In particular, we consider the 'blowtorch' map and s...
A note on the dynamics of extended-context disordered kinetic spin models [0.03%]
关于上下文增强的无序动力自旋模型的一点注记
Jacob A Zavatone-Veth,Cengiz Pehlevan
Jacob A Zavatone-Veth
Inspired by striking advances in language modeling, there has recently been much interest in developing autogressive sequence models that are amenable to analytical study. In this short note, we consider extensions of simple disordered kine...
Marius Bothe,Luca Cocconi,Zigan Zhen et al.
Marius Bothe et al.
We introduce a procedure to test a theory for point particle entity, that is, whether said theory takes into account the discrete nature of the constituents of the system. We then identify the mechanism whereby particle entity is enforced i...
An analytical method to connect open curves for modeling protein-bound DNA minicircles [0.03%]
用于模拟与蛋白质结合的DNA微型圈的闭合曲线分析方法研究论文标题翻译
Seyed A Sabok-Sayr,Wilma K Olson
Seyed A Sabok-Sayr
We introduce an analytical method to generate the pathway of a closed protein-bound DNA minicircle. We develop an analytical equation to connect two open curves smoothly and use the derived expressions to join the ends of two helical pathwa...
Machine Learning as Ecology [0.03%]
机器学习如生态学
Owen Howell,Cui Wenping,Robert Marsland rd et al.
Owen Howell et al.
Machine learning methods have had spectacular success on numerous problems. Here we show that a prominent class of learning algorithms - including Support Vector Machines (SVMs) - have a natural interpretation in terms of ecological dynamic...
Fluid heterogeneity detection based on the asymptotic distribution of the time-averaged mean squared displacement in single particle tracking experiments [0.03%]
基于单颗粒追踪实验中时间平均平方位移渐近分布的流体非均匀性检测方法研究
Kui Zhang,Katelyn P R Crizer,Mark H Schoenfisch et al.
Kui Zhang et al.
A tracer particle is called anomalously diffusive if its mean squared displacement grows approximately as σ 2 t α as a function of time t for some constant σ 2, where the diffusion exponent satisfies α ≠ 1. In this article, we use rece...
Perpetual emulation threshold of [Formula: see text] -symmetric Hamiltonians [0.03%]
[Formula: see text]对称哈密顿算子的仿效阈值理论
D Trypogeorgos,A Valdés-Curiel,I B Spielman et al.
D Trypogeorgos et al.
We describe a technique to emulate the dynamics of two-level P T -symmetric spin Hamiltonians, replete with gain and loss, using the unitary dynamics of a larger quantum system. The two-level system in question is embedded in a subspace of...
Supriya Krishnamurthy,Eric Smith
Supriya Krishnamurthy
The study of chemical reaction networks (CRN's) is a very active field. Earlier well-known results (Feinberg 1987 Chem. Enc. Sci. 42 2229, Anderson et al 2010 Bull. Math. Biol. 72 1947) identify a topological quantity called deficiency, for...
Intermittent free diffusion in the presence of sparse obstacles: mean obstacle encounter time [0.03%]
稀疏障碍物环境中分子的间歇自由扩散：平均遇障时间
Alexander M Berezhkovskii,Sergey M Bezrukov
Alexander M Berezhkovskii
Particle diffusion in the presence of sparse obstacles may be considered as a sequence of relatively long intervals, during which the particle diffuses in regions free of obstacles, separated by relatively short intervals during which the p...
Detecting Spatio-Temporal Modes in Multivariate Data by Entropy Field Decomposition [0.03%]
基于熵场分解的多变量数据时空模式检测方法研究
Lawrence R Frank,Vitaly L Galinsky
Lawrence R Frank
A new data analysis method that addresses a general problem of detecting spatio-temporal variations in multivariate data is presented. The method utilizes two recent and complimentary general approaches to data analysis, information field t...