English | 2022 | ISBN: 111990613X | 643 pages | True PDF | 19.72 MB
The quickest way to learn everything there is to know about QuickBooks
QuickBooks is the leading small business accounting software, designed to help you handle your financial and business tasks more effectively. QuickBooks 2023 All-in-One For Dummies answers all your QuickBooks questions, with 8 content-rich mini books in one complete package. You can get the most out of the latest QuickBooks release, thanks to this go-to reference covering account setup, double entry bookkeeping, invoicing customers, paying vendors, tracking inventory, creating a business plan, cloud storage, and everything else QuickBooks can do for you. Plus, you can access your information from any device with new online features, making it easy to manage your business on the go. Dummies walks you through everything, step by step.

English | 2022 | ISBN: 978-9814968287 | 177 pages | True PDF | 9.75 MB
This book reveals glimpses of how the quantum physics of atoms and molecules influences, and even controls, the way our cells function and how we and our fellow animals interact with our environment. Simply put, how birds fly and why grass grows.
Certainly, biochemistry and molecular biology are the foundations for the biology of living cells, but there is more―quantum coherence and entanglement influencing the functioning of proteins and enzymes, and strictly speaking, without the quantum phenomena we wouldn't even be here.

English | 2022 | ISBN: 978-0750327848 | 340 pages | True PDF EPUB | 42.64 MB
A quantum description of light is central to many aspects of the modern quantum technological revolution and key to our understanding and exploitation of photon-matter interactions, interpretation of entanglement, teleportation and quantum metrology. It underpins our comprehension of the quantum nature of information and how we can formulate, manipulate, and process it using physical systems operating on quantum mechanical principles, and a pathway to the building of quantum computing devices.
This book gives a broad perspective on quantum light phenomena. It goes beyond traditional quantum optics, to include quantum fluids of light and the complete electromagnetic vacuum. Important topics for students and researchers working in a large range of areas in the modern quantum technological revolution, from single photon processes to ultra-intense laser physics. This includes atom manipulation with photons, quantum computation, ultrafast lasers, Bose-Einstein condensation of photons, superfluid light, laboratory astrophysics, and the exploration of QED vacuum using ultra-intense lasers. It also includes the axion-photon coupling, which is relevant to the search for dark matter.

English | 2022 | ISBN: 0128205660 | 299 pages | True PDF EPUB | 20.12 MB
Quantum Materials, Devices, and Applications covers the advances made in quantum technologies, both in research and mass production for applications in electronics, photonics, sensing, biomedical, environmental and agricultural applications. The book includes new materials, new device structures that are commercially available, and many more at the advanced research stage. It reviews the most relevant, current and emerging materials and device structures, organized by key applications and covers existing devices, technologies and future possibilities within a common framework of high-performance quantum devices.
This book will be ideal for researchers and practitioners in academia, industry and those in materials science and engineering, electrical engineering and physics disciplines.

English | 2022 | ISBN: 1801813574 | 443 pages | True PDF EPUB | 21.45 MB
Learn the principles of quantum machine learning and how to apply them in finance.
Purchase of the print or Kindle book includes a free eBook in the PDF format.

English | 2022 | ISBN: 168507930X | 268 pages | True PDF | 6.28 MB
"Quantum field theory (QFT) is a theoretical framework that combines classical field theory, special relativity and quantum mechanics, and represents the forefront of theoretical physics. The four chapters of this book include new research on quantum field theory and present different perspectives on the subject. Chapter One applies the notion of clothing particles in QFT to the theory of nuclear forces and quantum electrodynamics. Chapter Two is based on results from black hole thermodynamics at all energy scales and demonstrates that there is a natural ultraviolet applicable boundary distant from the Planck scales in QFT. Chapter Three presents a version of quantum field theory based on discrete energy-momentum and illustrates this theory using examples of fermion and boson fields. Lastly, Chapter Four discusses in detail whether or not perturbative expansion series in quantum electrodynamics are convergent and points out that the disagreement between the experimental value of the muon g-2 and the theoretical one predicted in the standard model might be due either to the larger hadronic vacuum polarization contributions or to an unexpectedly large sum of the perturbative expansion series"--
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English | 2023 | ISBN: 9402421890 | 571 pages | True PDF EPUB | 33.38 MB
This book is a translation of the 8th edition of Prof. Kazuhiko Nishijima's classical textbook on quantum field theory. It is based on the lectures the Author gave to students and researchers with diverse interests over several years in Japan. The book includes both the historical development of QFT and its practical use in theoretical and experimental particle physics, presented in a pedagogical and transparent way and, in several parts, in a unique and original manner.
The Author, Academician Nishijima, is the inventor (independently from Murray Gell-Mann) of the third (besides the electric charge and isospin) quantum number in particle physics: strangeness. He is also most known for his works on several other theories describing particles such as electron and muon neutrinos, and his work on the so-called Gell-Mann–Nishijima formula.

English | 2022 | ISBN: 0128241535 | 393 pages | True PDF EPUB | 14.2 MB
Quantum Dots: Fundamentals, Synthesis and Applications compiles key information, along with practical guidance on quantum dot synthesis and applications. Beginning with an introduction, Part One highlights such foundational knowledge as growth mechanisms, shape and composition, electrochemical properties, and production scale-up for quantum dots. Part Two goes on to provide practical guides to key chemical, physical and biological methods for the synthesis of quantum dots, with Part Three reviewing the application of quantum dots and a range of important use cases, including photocatalysis, energy cells and medical imaging.
Drawing on the knowledge of its expert authors, this comprehensive book provides practical guidance for all those who already study, develop or use quantum dots in their work.

English | 2022 | ISBN: 978-1032406374 | 165 pages | True PDF | 6.04 MB
Quantum Chemistry provides a coherent and structured approach in introducing the concept of 'quantum' to the students of quantum mechanics. An attempt is made to bring out the subtleties of quantum mechanics, hidden in its abstract laws and equations, applicable to the atomic domain by showing its relevance to the observable macroscopic world as well.
The book will help students dispel the stigma associated with quantum mechanics. The emphasis on conceptual approach provides a platform to stand on, and a stimulus to pursue higher quantum mechanics―the doorway to the all-pervasive quantum world.

English | 2022 | ISBN: 978-3031046476 | 524 pages | True PDF EPUB | 56.72 MB
Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand their relative strengths and weaknesses. To clearly connect theoretical concepts to practical implementations, the author provides many worked-out examples along with "Programming Tips" that encourage the reader to write quality Python code. The entire text, including all the figures and numerical results, is reproducible using the Python codes provided, thus enabling readers to follow along by experimenting with the same code on their own computers.
Modern Python modules like Pandas, Sympy, Scikit-learn, Statsmodels, Scipy, Xarray, Tensorflow, and Keras are used to implement and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, interpretability, and regularization. Many abstract mathematical ideas, such as modes of convergence in probability, are explained and illustrated with concrete numerical examples. This book is suitable for anyone with undergraduate-level experience with probability, statistics, or machine learning and with rudimentary knowledge of Python programming.