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Synthesis of quantum circuits vs. synthesis of classical reversible circuits /

By: Vos, Alexis de [author.].
Contributor(s): De Baerdemacker, Stijn [author.] | Van Rentergem, Yvan [author.].
Material type: materialTypeLabelBookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on digital circuits and systems: # 54.Publisher: [San Rafael, California] : Morgan & Claypool, 2018.Description: 1 PDF (xv, 109 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9781681733807.Subject(s): Computers -- Circuits | Logic circuits | Quantum computing | Reversible computing | quantum computing | reversible computing | unitary matrix | permutation matrix | group theory | matrix decomposition | circuit synthesisDDC classification: 621.395 Online resources: Abstract with links to resource Also available in print.
Contents:
1. Introduction -- 1.1 Conventional computing -- 1.2 Boolean functions of one variable -- 1.3 Boolean functions of two variables -- 1.4 Boolean functions of n variables -- 1.4.1 The minterm expansion -- 1.4.2 The Reed-Muller expansion -- 1.4.3 The minimal ESOP expansion -- 1.5 Group theory -- 1.6 Reversible computing -- 1.7 Permutation groups -- 1.8 A permutation decomposition -- 1.9 Matrix groups -- 1.10 Subgroups -- 1.11 Young subgroups -- 1.12 Quantum computing -- 1.13 Bottom-up vs. top-down --
2. Bottom -- 2.1 The group S2 -- 2.2 Two important young subgroups of S2w -- 2.2.1 Controlled circuits -- 2.2.2 Controlled NOT gates -- 2.2.3 Controlled circuits vs. controlled gates -- 2.3 Primal decomposition -- 2.4 Dual decomposition -- 2.5 Synthesis efficiency -- 2.6 Refined synthesis algorithm -- 2.7 Examples -- 2.8 Variable ordering --
3. Bottom-up -- 3.1 The square root of the NOT -- 3.1.1 One-(qu)bit calculations -- 3.1.2 Two and multi-(qu)bit calculations -- 3.2 More roots of NOT -- 3.3 NEGATORs -- 3.4 NEGATOR circuits -- 3.5 The group ZU(n) -- 3.6 The group XU(n) -- 3.7 A matrix decomposition -- 3.8 Group hierarchy --
4. Top -- 4.1 Preliminary circuit decomposition -- 4.2 Primal decomposition -- 4.3 Group structure -- 4.4 Dual decomposition -- 4.5 Detailed procedure -- 4.6 Examples -- 4.7 Synthesis efficiency -- 4.8 Further synthesis -- 4.9 An extra decomposition --
5. Top-down -- 5.1 Top vs. bottom -- 5.2 Light matrices -- 5.3 Primal decomposition -- 5.4 Group hierarchy -- 5.5 Dual decomposition --
6. Conclusion -- A. Polar decomposition -- Bibliography -- Authors' biographies -- Index.
Abstract: At first sight, quantum computing is completely different from classical computing. Nevertheless, a link is provided by reversible computation. Whereas an arbitrary quantum circuit, acting on w qubits, is described by an n x n unitary matrix with n = 2w, a reversible classical circuit, acting on w bits, is described by a 2w x 2w permutation matrix. The permutation matrices are studied in group theory of finite groups (in particular the symmetric group Sn); the unitary matrices are discussed in group theory of continuous groups (a.k.a. Lie groups, in particular the unitary group U(n)). Both the synthesis of a reversible logic circuit and the synthesis of a quantum logic circuit take advantage of the decomposition of a matrix: the former of a permutation matrix, the latter of a unitary matrix. In both cases the decomposition is into three matrices. In both cases the decomposition is not unique.
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Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 99-104) and index.

1. Introduction -- 1.1 Conventional computing -- 1.2 Boolean functions of one variable -- 1.3 Boolean functions of two variables -- 1.4 Boolean functions of n variables -- 1.4.1 The minterm expansion -- 1.4.2 The Reed-Muller expansion -- 1.4.3 The minimal ESOP expansion -- 1.5 Group theory -- 1.6 Reversible computing -- 1.7 Permutation groups -- 1.8 A permutation decomposition -- 1.9 Matrix groups -- 1.10 Subgroups -- 1.11 Young subgroups -- 1.12 Quantum computing -- 1.13 Bottom-up vs. top-down --

2. Bottom -- 2.1 The group S2 -- 2.2 Two important young subgroups of S2w -- 2.2.1 Controlled circuits -- 2.2.2 Controlled NOT gates -- 2.2.3 Controlled circuits vs. controlled gates -- 2.3 Primal decomposition -- 2.4 Dual decomposition -- 2.5 Synthesis efficiency -- 2.6 Refined synthesis algorithm -- 2.7 Examples -- 2.8 Variable ordering --

3. Bottom-up -- 3.1 The square root of the NOT -- 3.1.1 One-(qu)bit calculations -- 3.1.2 Two and multi-(qu)bit calculations -- 3.2 More roots of NOT -- 3.3 NEGATORs -- 3.4 NEGATOR circuits -- 3.5 The group ZU(n) -- 3.6 The group XU(n) -- 3.7 A matrix decomposition -- 3.8 Group hierarchy --

4. Top -- 4.1 Preliminary circuit decomposition -- 4.2 Primal decomposition -- 4.3 Group structure -- 4.4 Dual decomposition -- 4.5 Detailed procedure -- 4.6 Examples -- 4.7 Synthesis efficiency -- 4.8 Further synthesis -- 4.9 An extra decomposition --

5. Top-down -- 5.1 Top vs. bottom -- 5.2 Light matrices -- 5.3 Primal decomposition -- 5.4 Group hierarchy -- 5.5 Dual decomposition --

6. Conclusion -- A. Polar decomposition -- Bibliography -- Authors' biographies -- Index.

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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At first sight, quantum computing is completely different from classical computing. Nevertheless, a link is provided by reversible computation. Whereas an arbitrary quantum circuit, acting on w qubits, is described by an n x n unitary matrix with n = 2w, a reversible classical circuit, acting on w bits, is described by a 2w x 2w permutation matrix. The permutation matrices are studied in group theory of finite groups (in particular the symmetric group Sn); the unitary matrices are discussed in group theory of continuous groups (a.k.a. Lie groups, in particular the unitary group U(n)). Both the synthesis of a reversible logic circuit and the synthesis of a quantum logic circuit take advantage of the decomposition of a matrix: the former of a permutation matrix, the latter of a unitary matrix. In both cases the decomposition is into three matrices. In both cases the decomposition is not unique.

Also available in print.

Title from PDF title page (viewed on August 1, 2018).

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