Sharkey Keeper Layne (13 results)

Paperback. Condition: Good. Acquire knowledge of quantum chemistry concepts, the postulates of quantum mechanics, and the foundations of quantum computing, and execute illustrations made with Python code, Qiskit, and open-source quantum chemistry packages Key Features Be at the forefront of a quest for increased accuracy in chemistry applications and computing Get familiar with some open source quantum chemistry packages to run your own experiments Develop awareness of computational chemistry problems by using postulates of quantum mechanics Book DescriptionExplore quantum chemical concepts and the postulates of quantum mechanics in a modern fashion, with the intent to see how chemistry and computing intertwine. Along the way you?ll relate these concepts to quantum information theory and computation. We build a framework of computational tools that lead you through traditional computational methods and straight to the forefront of exciting opportunities. These opportunities will rely on achieving next-generation accuracy by going further than the standard approximations such as beyond Born-Oppenheimer calculations. Discover how leveraging quantum chemistry and computing is a key enabler for overcoming major challenges in the broader chemical industry. The skills that you will learn can be utilized to solve new-age business needs that specifically hinge on quantum chemistryWhat you will learn Understand mathematical properties of the building blocks of matter Run through the principles of quantum mechanics with illustrations Design quantum gate circuit computations Program in open-source chemistry software packages such as Qiskit® Execute state-of-the-art-chemistry calculations and simulations Run companion Jupyter notebooks on the cloud with just a web browser Explain standard approximations in chemical simulations Who this book is forProfessionals interested in chemistry and computer science at the early stages of learning, or interested in a career of quantum computational chemistry and quantum computing, including advanced high school and college students. Helpful to have high school level chemistry, mathematics (algebra), and programming. An introductory level of understanding Python is sufficient to read the code presented to illustrate quantum chemistry and computing.…

Condition: New.

Paperback. Condition: New. This book is a modern presentation of quantum chemical concepts and how it relates to quantum computing to solve problems, focusing on a basic understanding of matter and the building blocks of molecules. We take a deep dive into the postulates of quantum mechanics and highlight the mathematics involved to solve problems.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. Learn quantum chemistry and computing with updated Qiskit workflows, noise-aware simulations, and quantum machine learning techniques using Python, with hands-on learning, turning complex concepts into practical skills.Key FeaturesExplore new chapters on quantum machine learning and advanced algorithmsApply noise-aware quantum chemistry with error mitigation techniquesWork with updated Qiskit workflows and modern Python examplesBook DescriptionBuild a solid foundation in quantum chemistry and quantum computing using modern tools, updated frameworks, and practical Python examples. In its second edition, this book enhances the original with new chapters and refreshed workflows aligned with the latest advancements.You begin with core principles of quantum mechanics, quantum information, and molecular Hamiltonians, updated to incorporate the latest Qiskit capabilities. You then implement hybrid algorithms such as VQE using improved Python workflows. New to this edition, you will explore noise aware quantum chemistry, including error mitigation techniques and optimizer behavior in realistic simulations. The book also introduces quantum machine learning for molecular prediction and a new generation of quantum algorithms for chemistry, including Quantum Phase Estimation (QPE), Quantum Imaginary Time Evolution (QITE), quantum Lanczos and subspace methods, and sampling based approaches such as Sample based Quantum Diagonalization (SQD), Sample based Krylov Quantum Diagonalization (SKQD), and SqDRIFT, which combines SKQD with a qDRIFT style randomized compilation of the Hamiltonian propagator.By the end of this book, you will be able to model molecular systems and apply modern quantum techniques with confidence.What you will learnUnderstand quantum mechanics and molecular systemsBuild quantum circuits using Qiskit and PythonImplement VQE for molecular energy estimationApply error mitigation in noisy quantum systemsUse optimizers for stable hybrid quantum workflowsDevelop quantum machine learning models for moleculesExplore advanced algorithms beyond VQEWho this book is forProfessionals interested in chemistry and computer science at the early stages of learning or interested in a career of quantum computational chemistry and quantum computing, including advanced high school and college students. Helpful to have high school level chemistry, mathematics (algebra), and programming. An introductory level of understanding Python is sufficient to read the code presented to illustrate quantum chemistry and computing.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. This book is a modern presentation of quantum chemical concepts and how it relates to quantum computing to solve problems, focusing on a basic understanding of matter and the building blocks of molecules. We take a deep dive into the postulates of quantum mechanics and highlight the mathematics involved to solve problems.…

Paperback. Condition: New. Learn quantum chemistry and computing with updated Qiskit workflows, noise-aware simulations, and quantum machine learning techniques using Python, with hands-on learning, turning complex concepts into practical skills.Key FeaturesExplore new chapters on quantum machine learning and advanced algorithmsApply noise-aware quantum chemistry with error mitigation techniquesWork with updated Qiskit workflows and modern Python examplesBook DescriptionBuild a solid foundation in quantum chemistry and quantum computing using modern tools, updated frameworks, and practical Python examples. In its second edition, this book enhances the original with new chapters and refreshed workflows aligned with the latest advancements.You begin with core principles of quantum mechanics, quantum information, and molecular Hamiltonians, updated to incorporate the latest Qiskit capabilities. You then implement hybrid algorithms such as VQE using improved Python workflows. New to this edition, you will explore noise aware quantum chemistry, including error mitigation techniques and optimizer behavior in realistic simulations. The book also introduces quantum machine learning for molecular prediction and a new generation of quantum algorithms for chemistry, including Quantum Phase Estimation (QPE), Quantum Imaginary Time Evolution (QITE), quantum Lanczos and subspace methods, and sampling based approaches such as Sample based Quantum Diagonalization (SQD), Sample based Krylov Quantum Diagonalization (SKQD), and SqDRIFT, which combines SKQD with a qDRIFT style randomized compilation of the Hamiltonian propagator.By the end of this book, you will be able to model molecular systems and apply modern quantum techniques with confidence.What you will learnUnderstand quantum mechanics and molecular systemsBuild quantum circuits using Qiskit and PythonImplement VQE for molecular energy estimationApply error mitigation in noisy quantum systemsUse optimizers for stable hybrid quantum workflowsDevelop quantum machine learning models for moleculesExplore advanced algorithms beyond VQEWho this book is forProfessionals interested in chemistry and computer science at the early stages of learning or interested in a career of quantum computational chemistry and quantum computing, including advanced high school and college students. Helpful to have high school level chemistry, mathematics (algebra), and programming. An introductory level of understanding Python is sufficient to read the code presented to illustrate quantum chemistry and computing.…

Paperback. Condition: new. Paperback. Learn quantum chemistry and computing with updated Qiskit workflows, noise-aware simulations, and quantum machine learning techniques using Python, with hands-on learning, turning complex concepts into practical skills.Key FeaturesExplore new chapters on quantum machine learning and advanced algorithmsApply noise-aware quantum chemistry with error mitigation techniquesWork with updated Qiskit workflows and modern Python examplesBook DescriptionBuild a solid foundation in quantum chemistry and quantum computing using modern tools, updated frameworks, and practical Python examples. In its second edition, this book enhances the original with new chapters and refreshed workflows aligned with the latest advancements.You begin with core principles of quantum mechanics, quantum information, and molecular Hamiltonians, updated to incorporate the latest Qiskit capabilities. You then implement hybrid algorithms such as VQE using improved Python workflows. New to this edition, you will explore noise aware quantum chemistry, including error mitigation techniques and optimizer behavior in realistic simulations. The book also introduces quantum machine learning for molecular prediction and a new generation of quantum algorithms for chemistry, including Quantum Phase Estimation (QPE), Quantum Imaginary Time Evolution (QITE), quantum Lanczos and subspace methods, and sampling based approaches such as Sample based Quantum Diagonalization (SQD), Sample based Krylov Quantum Diagonalization (SKQD), and SqDRIFT, which combines SKQD with a qDRIFT style randomized compilation of the Hamiltonian propagator.By the end of this book, you will be able to model molecular systems and apply modern quantum techniques with confidence.What you will learnUnderstand quantum mechanics and molecular systemsBuild quantum circuits using Qiskit and PythonImplement VQE for molecular energy estimationApply error mitigation in noisy quantum systemsUse optimizers for stable hybrid quantum workflowsDevelop quantum machine learning models for moleculesExplore advanced algorithms beyond VQEWho this book is forProfessionals interested in chemistry and computer science at the early stages of learning or interested in a career of quantum computational chemistry and quantum computing, including advanced high school and college students. Helpful to have high school level chemistry, mathematics (algebra), and programming. An introductory level of understanding Python is sufficient to read the code presented to illustrate quantum chemistry and computing. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Learn quantum chemistry and computing with updated Qiskit workflows, noise-aware simulations, and quantum machine learning techniques using Python, with hands-on learning, turning complex concepts into practical skills.Key FeaturesExplore new chapters on quantum machine learning and advanced algorithmsApply noise-aware quantum chemistry with error mitigation techniquesWork with updated Qiskit workflows and modern Python examplesBook DescriptionBuild a solid foundation in quantum chemistry and quantum computing using modern tools, updated frameworks, and practical Python examples. In its second edition, this book enhances the original with new chapters and refreshed workflows aligned with the latest advancements.You begin with core principles of quantum mechanics, quantum information, and molecular Hamiltonians, updated to incorporate the latest Qiskit capabilities. You then implement hybrid algorithms such as VQE using improved Python workflows. New to this edition, you will explore noise aware quantum chemistry, including error mitigation techniques and optimizer behavior in realistic simulations. The book also introduces quantum machine learning for molecular prediction and a new generation of quantum algorithms for chemistry, including Quantum Phase Estimation (QPE), Quantum Imaginary Time Evolution (QITE), quantum Lanczos and subspace methods, and sampling based approaches such as Sample based Quantum Diagonalization (SQD), Sample based Krylov Quantum Diagonalization (SKQD), and SqDRIFT, which combines SKQD with a qDRIFT style randomized compilation of the Hamiltonian propagator.By the end of this book, you will be able to model molecular systems and apply modern quantum techniques with confidence.What you will learnUnderstand quantum mechanics and molecular systemsBuild quantum circuits using Qiskit and PythonImplement VQE for molecular energy estimationApply error mitigation in noisy quantum systemsUse optimizers for stable hybrid quantum workflowsDevelop quantum machine learning models for moleculesExplore advanced algorithms beyond VQEWho this book is forProfessionals interested in chemistry and computer science at the early stages of learning or interested in a career of quantum computational chemistry and quantum computing, including advanced high school and college students. Helpful to have high school level chemistry, mathematics (algebra), and programming. An introductory level of understanding Python is sufficient to read the code presented to illustrate quantum chemistry and computing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Learn quantum chemistry and computing with updated Qiskit workflows, noise-aware simulations, and quantum machine learning techniques using Python, with hands-on learning, turning complex concepts into practical skills.Key FeaturesExplore new chapters on quantum machine learning and advanced algorithmsApply noise-aware quantum chemistry with error mitigation techniquesWork with updated Qiskit workflows and modern Python examplesBook DescriptionBuild a solid foundation in quantum chemistry and quantum computing using modern tools, updated frameworks, and practical Python examples. In its second edition, this book enhances the original with new chapters and refreshed workflows aligned with the latest advancements.You begin with core principles of quantum mechanics, quantum information, and molecular Hamiltonians, updated to incorporate the latest Qiskit capabilities. You then implement hybrid algorithms such as VQE using improved Python workflows. New to this edition, you will explore noise aware quantum chemistry, including error mitigation techniques and optimizer behavior in realistic simulations. The book also introduces quantum machine learning for molecular prediction and a new generation of quantum algorithms for chemistry, including Quantum Phase Estimation (QPE), Quantum Imaginary Time Evolution (QITE), quantum Lanczos and subspace methods, and sampling based approaches such as Sample based Quantum Diagonalization (SQD), Sample based Krylov Quantum Diagonalization (SKQD), and SqDRIFT, which combines SKQD with a qDRIFT style randomized compilation of the Hamiltonian propagator.By the end of this book, you will be able to model molecular systems and apply modern quantum techniques with confidence.What you will learnUnderstand quantum mechanics and molecular systemsBuild quantum circuits using Qiskit and PythonImplement VQE for molecular energy estimationApply error mitigation in noisy quantum systemsUse optimizers for stable hybrid quantum workflowsDevelop quantum machine learning models for moleculesExplore advanced algorithms beyond VQEWho this book is forProfessionals interested in chemistry and computer science at the early stages of learning or interested in a career of quantum computational chemistry and quantum computing, including advanced high school and college students. Helpful to have high school level chemistry, mathematics (algebra), and programming. An introductory level of understanding Python is sufficient to read the code presented to illustrate quantum chemistry and computing. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condition: Neu. Quantum Chemistry and Computing for the Curious - Second Edition | Explore quantum chemistry with Python and Qiskit through modern algorithms and real-world examples | Keeper Layne Sharkey (u. a.) | Taschenbuch | Englisch | 2026 | Packt Publishing | EAN 9781807304676 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…