588 research outputs found

    Computational Capabilities and Compiler Development for Neutral Atom Quantum Processors: Connecting Tool Developers and Hardware Experts

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    Neutral Atom Quantum Computing (NAQC) emerges as a promising hardware platform primarily due to its long coherence times and scalability. Additionally, NAQC offers computational advantages encompassing potential long-range connectivity, native multi-qubit gate support, and the ability to physically rearrange qubits with high fidelity. However, for the successful operation of a NAQC processor, one additionally requires new software tools to translate high-level algorithmic descriptions into a hardware executable representation, taking maximal advantage of the hardware capabilities. Realizing new software tools requires a close connection between tool developers and hardware experts to ensure that the corresponding software tools obey the corresponding physical constraints. This work aims to provide a basis to establish this connection by investigating the broad spectrum of capabilities intrinsic to the NAQC platform and its implications on the compilation process. To this end, we first review the physical background of NAQC and derive how it affects the overall compilation process by formulating suitable constraints and figures of merit. We then provide a summary of the compilation process and discuss currently available software tools in this overview. Finally, we present selected case studies and employ the discussed figures of merit to evaluate the different capabilities of NAQC and compare them between two hardware setups.Comment: 32 pages, 13 figures, 2 table

    Tradition and Innovation in Construction Project Management

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    This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings

    Modern meat: the next generation of meat from cells

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    Modern Meat is the first textbook on cultivated meat, with contributions from over 100 experts within the cultivated meat community. The Sections of Modern Meat comprise 5 broad categories of cultivated meat: Context, Impact, Science, Society, and World. The 19 chapters of Modern Meat, spread across these 5 sections, provide detailed entries on cultivated meat. They extensively tour a range of topics including the impact of cultivated meat on humans and animals, the bioprocess of cultivated meat production, how cultivated meat may become a food option in Space and on Mars, and how cultivated meat may impact the economy, culture, and tradition of Asia

    Out of sight, out of mind: accessibility for people with hidden disabilities in museums and heritage sites

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    As of 2020, an estimated 14.1 million residents of the United Kingdom reported a disability (DWP 2020). Within this population, approximately 6.1 million people have a hidden disability (Buhalis and Michopoulou 2011). These hidden disabilities range widely, from neurodiverse conditions like autism and dyslexia to long term chronic conditions such as fibromyalgia and arthritis. Due to the wide range of disabilities and their impact on a disabled person’s life, they have generally been underrepresented in accessibility studies. This thesis uncovers the accessibility needs of people with hidden disabilities, specifically in museums and heritage sites where they have heretofore mostly been overlooked. I utilise semi-structured interviews and correspondence with people with hidden disabilities, as well as participant-led experiences through three case study sites in Northern England, to understand the barriers they face. Their experiences help me expose the importance of passive accessibility – accessibility measures built directly into an exhibition design, such as adequate lighting and personal interpretation boards. Additionally, this thesis aims to understand the cultural forces that prevent or support accessibility-related improvements to such sites from taking place. By studying the cultural make-up of each case study organisation through ethnographic observations of the staff at these sites, institutional roadblocks to enacting accessibility-related adjustments are revealed. Specifically, the lack of communication at these sites presents a significant barrier to enacting accessibility suggestions from disabled visitors. Tying together the themes of active/passive accessibility and lack of communication is the theme of gaps in disability awareness, by which I mean that heritage organisations do not wilfully create these barriers to inclusion, and yet they create them still because they simply do not realise these things. Filling these gaps opens up countless possibilities for improving accessibility not only for people with hidden disabilities but for all visitors and staff at museums and heritage sites

    A Review on Skin Disease Classification and Detection Using Deep Learning Techniques

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    Skin cancer ranks among the most dangerous cancers. Skin cancers are commonly referred to as Melanoma. Melanoma is brought on by genetic faults or mutations on the skin, which are caused by Unrepaired Deoxyribonucleic Acid (DNA) in skin cells. It is essential to detect skin cancer in its infancy phase since it is more curable in its initial phases. Skin cancer typically progresses to other regions of the body. Owing to the disease's increased frequency, high mortality rate, and prohibitively high cost of medical treatments, early diagnosis of skin cancer signs is crucial. Due to the fact that how hazardous these disorders are, scholars have developed a number of early-detection techniques for melanoma. Lesion characteristics such as symmetry, colour, size, shape, and others are often utilised to detect skin cancer and distinguish benign skin cancer from melanoma. An in-depth investigation of deep learning techniques for melanoma's early detection is provided in this study. This study discusses the traditional feature extraction-based machine learning approaches for the segmentation and classification of skin lesions. Comparison-oriented research has been conducted to demonstrate the significance of various deep learning-based segmentation and classification approaches

    Realising Global Water Futures: a Summary of Progress in Delivering Solutions to Water Threats in an Era of Global Change

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    Canada First Research Excellence FundNon-Peer ReviewedOver the past six years the Global Water Futures program has produced a wide range of scientific findings and engagements with multiple types of potential users of the research. This briefing book provides a snapshot of some of the science advancements and user engagement that have taken place to date. Annual reports to the funding agency are the most up to date source of information: this compilation has been created from reports submitted by projects in 2022, representing both completed and current project work. The briefing book aims to provide quick access to information about GWF projects in a single place for GWF’s User Advisory Panel: we hope that knowing more about the research being produced will spark conversations about how to make the best use of the new knowledge in both policy and practice

    Demand Response in Smart Grids

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    The Special Issue “Demand Response in Smart Grids” includes 11 papers on a variety of topics. The success of this Special Issue demonstrates the relevance of demand response programs and events in the operation of power and energy systems at both the distribution level and at the wide power system level. This reprint addresses the design, implementation, and operation of demand response programs, with focus on methods and techniques to achieve an optimized operation as well as on the electricity consumer
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