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Quantum computer science

Author: Marco Lanzagorta; Jeffrey K Uhlmann
Publisher: [San Rafael, Calif.] : Morgan & Claypool Publishers, ©2009.
Series: Synthesis lectures on quantum computing (Online), #2.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum computing rather than on the engineering issues associated with its  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Marco Lanzagorta; Jeffrey K Uhlmann
ISBN: 9781598297331 1598297333 9781598297324 1598297325
OCLC Number: 270769971
Notes: Title from PDF title page (viewed Nov. 6, 2008).
Description: 1 online resource (xvi, 108 pages) : illustrations, digital, PDF file.
Contents: The algorithmic structure of quantum computing --
Understanding quantum algorithmics --
Quantum computing property #1 --
Quantum computing property #2 --
Quantum computing property #3 --
Quantum computing property #4 --
Quantum computing property #5 --
Quantum computing property #6 --
Quantum computing property #7 --
Quantum computing property #8 --
Summary --
Advantages and limitations of quantum computing --
Quantum computability --
Classical and quantum complexity classes --
Advantages and disadvantages of the quantum computational model --
Hybrid computing --
The QRAM architecture --
Algorithmic considerations --
Quantum algorithm design --
Quantum building blocks --
Summary --
Amplitude amplification --
Quantum search --
Quantum oracles --
Searching data in a quantum register --
Grover's algorithm --
Generalized quantum search --
Grover's algorithm with multiple solutions --
Further applications of amplitude amplification --
Summary --
Case study: computational geometry --
General spatial search problems --
QMOS for object-object intersection identification --
QMOS for batch intersection identification --
Quantum rendering --
Z-buffering --
Ray tracing --
Radiosity --
Level of detail --
Summary --
The quantum Fourier transform --
The classical Fourier transform --
The quantum Fourier transform --
Matrix representation --
Circuit representation --
Computational complexity --
Algorithmic restrictions --
Normalization --
Initialization --
Output --
Summary --
Case study: the hidden subgroup --
Phase estimation --
Period finding --
The hidden subgroup problem --
Quantum cryptoanalysis --
Summary --
Circuit complexity analysis of quantum algorithms --
Quantum parallelism --
Algorithmic equity assumptions --
Classical and quantum circuit complexity analysis --
Comparing classical and quantum algorithms --
Summary --
Conclusions.
Series Title: Synthesis lectures on quantum computing (Online), #2.
Responsibility: Marco Lanzagorta, Jeffrey Uhlmann.

Abstract:

Presents a technical overview of the emerging field of quantum computation along with new research results. What distinguishes this presentation is the focus on the relationship between quantum  Read more...

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