Introducing the Quantum Research Kernels: Lessons from Classical Parallel Computing

Quantum computing represents a paradigm shift for computation requiring an entirely new computer architecture. However, there is much that can be learned from traditional classical computer engineering. In this paper, we describe the Parallel Research Kernels (PRK), a tool that was very useful for designing classical parallel computing systems. The PRK are simple kernels written to expose bottlenecks that limit classical parallel computing performance. We hypothesize that an analogous tool for quantum computing, Quantum Research Kernels (QRK), may similarly aid the co-design of software and hardware for quantum computing systems, and we give a few examples of representative QRKs.Comment: 2 page

Physics of the Analytic S-Matrix

You might've heard about various mathematical properties of scattering amplitudes such as analyticity, sheets, branch cuts, discontinuities, etc. What does it all mean? In these lectures, we'll take a guided tour through simple scattering problems that will allow us to directly trace such properties back to physics. We'll learn how different analytic features of the S-matrix are really consequences of causality, locality of interactions, unitary propagation, and so on. These notes are based on a series of lectures given in Spring 2023 at the Institute for Advanced Study in Princeton and the Higgs Centre School of Theoretical Physics in Edinburgh.Comment: 162 page

Mobility Data Science (Dagstuhl Seminar 22021)

This report documents the program and the outcomes of Dagstuhl Seminar 22021 "Mobility Data Science". This seminar was held January 9-14, 2022, including 47 participants from industry and academia. The goal of this Dagstuhl Seminar was to create a new research community of mobility data science in which the whole is greater than the sum of its parts by bringing together established leaders as well as promising young researchers from all fields related to mobility data science. Specifically, this report summarizes the main results of the seminar by (1) defining Mobility Data Science as a research domain, (2) by sketching its agenda in the coming years, and by (3) building a mobility data science community. (1) Mobility data science is defined as spatiotemporal data that additionally captures the behavior of moving entities (human, vehicle, animal, etc.). To understand, explain, and predict behavior, we note that a strong collaboration with research in behavioral and social sciences is needed. (2) Future research directions for mobility data science described in this report include a) mobility data acquisition and privacy, b) mobility data management and analysis, and c) applications of mobility data science. (3) We identify opportunities towards building a mobility data science community, towards collaborations between academic and industry, and towards a mobility data science curriculum

Hadron Colliders, the Top Quark, and the Higgs Sector

I survey the characteristics of hadron colliders as tools to investigate top-quark physics and to explore the 1-TeV scale of electroweak symmetry breaking.Comment: 63 pages, 19 figures, uses sprocl.sty and boxedeps. Lectures at the Advanced School on Electroweak Theory, Mahon, Menorca, Spain (June 1996

Roadmap on Machine learning in electronic structure

AbstractIn recent years, we have been witnessing a paradigm shift in computational materials science. In fact, traditional methods, mostly developed in the second half of the XXth century, are being complemented, extended, and sometimes even completely replaced by faster, simpler, and often more accurate approaches. The new approaches, that we collectively label by machine learning, have their origins in the fields of informatics and artificial intelligence, but are making rapid inroads in all other branches of science. With this in mind, this Roadmap article, consisting of multiple contributions from experts across the field, discusses the use of machine learning in materials science, and share perspectives on current and future challenges in problems as diverse as the prediction of materials properties, the construction of force-fields, the development of exchange correlation functionals for density-functional theory, the solution of the many-body problem, and more. In spite of the already numerous and exciting success stories, we are just at the beginning of a long path that will reshape materials science for the many challenges of the XXIth century

2022-2023 Xavier University Undergraduate and Graduate University Catalog

https://www.exhibit.xavier.edu/coursecatalog/1275/thumbnail.jp

Perspectives On String Phenomenology

The remarkable recent discovery of the Higgs boson at the CERN Large Hadron Collider completed the Standard Model of particle physics and has paved the way for understanding the physics which may lie beyond it. String/M theory has emerged as a broad framework for describing a plethora of diverse physical systems, which includes condensed matter systems, gravitational systems as well as elementary particle physics interactions. If string/M theory is to be considered as a candidate theory of Nature, it must contain an effectively four-dimensional universe among its solutions that is indistinguishable from our own. In these solutions, the extra dimensions of string/M theory are “compactified” on tiny scales which are often comparable to the Planck length. String phenomenology is the branch of string/M theory that studies such solutions, relates their properties to data, and aims to answer many of the outstanding questions of particle physics beyond the Standard Model.This book contains perspectives on string phenomenology from some of the leading experts in the field. Contributions will range from pedagogical general overviews and perspectives to more technical reviews. We hope that the reader will get a sense of the significant progress that has been made in the field in recent years (e.g. in the topic of moduli stabilization) as well as the topics currently being researched, outstanding problems and some perspectives for the future

2020-2021 Xavier University Undergraduate and Graduate University Catalog

https://www.exhibit.xavier.edu/coursecatalog/1273/thumbnail.jp

School district technology awareness: a descriptive study identifying implications for the 21st-century teaching and learning

Preparing students for 21st-century learning is a great responsibility and a challenge for many school districts across the country. A large body of research suggests that a school district’s level of awareness with regards to education technology and particularly those technologies that are on a positive trend correlates with a successful technology implementation program. District Administrators that lead the charge of developing technology policies and oversee the various aspect of the technology implementation must possess a solid awareness of modern education technologies and their interplays with curriculum and pedagogy. In addition, district Administrators must have the technological skill to overcome network infrastructure capabilities constraints as well as the leadership skill to prioritize technology. This study used a survey as its main method of data collection; the survey was guided by three research questions that helped gain valuable insight about California K12 school district Administrators’ familiarity with most relevant modern technologies and strategies for educating students in the 21st-century, knowledge of intermediation between (technology, pedagogy, curriculum), as well as what Administrators perceive as constraints that impede effective technology implementation. The data shows that majority of district Administrators reported to having insufficient knowledge of modern and emerging technologies or digital strategies that are most reliant on technology, in addition, the data suggest that district Administrators are finding funding, training, and infrastructure as main factors that impede implementation of technology appropriate for a 21st-century education. The results of this study propose recommendations that have implications for K12 school districts’ technology awareness, knowledge acquisition for technology preparedness, district technology plan, and minimum technology readiness requirement for school district Administrator positions for the 21st-century