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This Work in Progress (WIP) paper describes the development of a middle school program focused on an integrated STEM architectural engineering design project and exploration of career pathways. The current engineering workforce is increasingly aging, needing new engineering graduates to meet the industry demands. It is crucial to create inclusive educational programs in STEM to expose and connect with youths from diverse backgrounds, especially the demographics that are underrepresented, in STEM career paths. Middle school is a pivotal time for generating students’ awareness of and promoting pathways into STEM careers; however, opportunities to engage in engineering are often lacking ormore »Free, publicly-accessible full text available January 1, 2023
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This Work in Progress (WIP) paper describes the development of a middle school program focused on an integrated STEM architectural engineering design project and exploration of career pathways. The current engineering workforce is increasingly aging, needing new engineering graduates to meet the industry demands. It is crucial to create inclusive educational programs in STEM to expose and connect with youths from diverse backgrounds, especially the demographics that are underrepresented, in STEM career paths. Middle school is a pivotal time for generating students’ awareness of and promoting pathways into STEM careers; however, opportunities to engage in engineering are often lacking ormore »Free, publicly-accessible full text available January 1, 2023
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Realizing quantum speedup for practically relevant, computationally hard problems is a central challenge in quantum information science. Using Rydberg atom arrays with up to 289 qubits in two spatial dimensions, we experimentally investigate quantum algorithms for solving the Maximum Independent Set problem. We use a hardware-efficient encoding associated with Rydberg blockade, realize closed-loop optimization to test several variational algorithms, and subsequently apply them to systematically explore a class of graphs with programmable connectivity. We find the problem hardness is controlled by the solution degeneracy and number of local minima, and experimentally benchmark the quantum algorithm’s performance against classical simulated annealing.more »Free, publicly-accessible full text available May 5, 2023
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Quantum spin liquids, exotic phases of matter with topological order, have been a major focus in physics for the past several decades. Such phases feature long-range quantum entanglement that can potentially be exploited to realize robust quantum computation. We used a 219-atom programmable quantum simulator to probe quantum spin liquid states. In our approach, arrays of atoms were placed on the links of a kagome lattice, and evolution under Rydberg blockade created frustrated quantum states with no local order. The onset of a quantum spin liquid phase of the paradigmatic toric code type was detected by using topological string operatorsmore »Free, publicly-accessible full text available December 3, 2022
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Existence and uniqueness results for solutions of stochastic differential equations (SDEs) under exceptionally weak conditions are well known in the case where the diffusion coeffcient is nondegenerate. Here, existence and uniqueness of strong solutions is obtained in the case of degenerate SDEs in a class that is motivated by diffusion representations for solutions of Schrödinger initial value problems. In such examples, the dimension of the range of the diffusion coeffcient is exactly half that of the state. In addition to this degeneracy, two types of discontinuities and singularities in the drift are allowed, where these are motivated by the structuremore »
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Multi- and hyperspectral imaging modalities encompass a growing number of spectral techniques that find many applications in geospatial, biomedical and machine vision fields. The rapidly increasing number of applications requires a convenient easy-to-navigate software that can be used by new and experienced users to analyze data, develop, apply, and deploy novel algorithms. Herein, we present our platform, IDCube that performs essential operations in hyperspectral data analysis to realize the full potential of spectral imaging. The strength of the software lies in its interactive features that enable the users to optimize parameters and obtain visual input for the user. The entiremore »