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Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems Alex Khan, Matthew R. Versaggi

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems Alex Khan, Matthew R. Versaggi - okladka książki

Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems Alex Khan, Matthew R. Versaggi - okladka książki

Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems Alex Khan, Matthew R. Versaggi - audiobook MP3

Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems Alex Khan, Matthew R. Versaggi - audiobook CD

Autorzy:
Alex Khan, Matthew R. Versaggi
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
420
Dostępne formaty:
     PDF
     ePub
Amazon Braket is a cloud-based pay-per-use platform for executing quantum algorithms on cutting-edge quantum computers and simulators. It is ideal for developing robust apps with the latest quantum devices.
With this book, you'll take a hands-on approach to learning how to take real-world problems and run them on quantum devices. You'll begin with an introduction to the Amazon Braket platform and learn about the devices currently available on the platform, their benefits, and their purpose. Then, you'll review key quantum concepts and algorithms critical to converting real-world problems into a quantum circuit or binary quadratic model based on the appropriate device and its capability. The book also covers various optimization use cases, along with an explanation of the code. Finally, you'll work with a framework using code examples that will help to solve your use cases with quantum and quantum-inspired technologies. Later chapters cover custom-built functions and include almost 200 figures and diagrams to visualize key concepts. You’ll be able to scan the capabilities provided by Amazon Braket and explore the functions to adapt them for specific use cases.
By the end of this book, you’ll have the tools to integrate your current business apps and AWS data with Amazon Braket to solve constrained and multi-objective optimization problems.

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O autorze książki

Alex is an advisor, entrepreneur, and educator in quantum computing. He currently heads QuantFi USA operations and is the CEO of ZebraKet, an Ontario based quantum startup in supply chain optimization. Alex has been working in quantum computing since 2018 and was the CPO at Chicago Quantum where he co-authored papers on portfolio optimization using D-Wave. He continues to be an advisor at QuSecure. As a Corporate Faculty, he teaches undergraduate to graduate level courses in quantum computing at Harrisburg University. He has participated in multiple hackathons, advised on a research paper on COVID optimization using quantum annealing, developed solutions for VR game optimization and NLP using D-Wave and has presented introductory topics in quantum computing at quantum meetups including using D-Wave and IonQ through Amazon Braket. Alex has over 20 years of experience providing IT solutions, developing products, and managing large IT initiatives in the healthcare and insurance industry. He is an engineering/physics dual major and received his BSME from Purdue University, MSME from KSU, MBA with Health Sector Management from Duke University and a certificate in quantum computing from MITxPro.

Packt Publishing - inne książki

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