Keeper layne sharkey (14 risultati)
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Da: California Books, Miami, FL, U.S.A.California Books
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Paperback. Condizione: 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 involv…ed to solve problems.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: 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 involv…ed to solve problems.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,73
EUR 75,62 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: 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 algorithm…sApply 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.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 47,82
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Paperback. Condizione: 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 advance…d 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.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 64,32
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Condizione: New. Print on Demand.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 52,71
EUR 43,05 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: 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 advance…d 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.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condizione: 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 advance…d 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.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 100,70
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Taschenbuch. Condizione: 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.
