Synthesis of Quantum Circuits vs. Synthesis of Classical Reversible Circuits

Synthesis of Quantum Circuits vs. Synthesis of Classical Reversible Circuits
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Artikel-Nr:
9781681733807
Veröffentl:
2018
Seiten:
125
Autor:
Alexis De Vos
Serie:
Synthesis Lectures on Digital Circuits and Systems
eBook Typ:
PDF
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

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 ?? qubits, is described by an ?? ?? unitary matrix with ??=2??, a reversible classical circuit, acting on ?? bits, is described by a 2?? 2?? permutation matrix. The permutation matrices are studied in group theory of finite groups (in particular the symmetric group ????); the unitary matrices are discussed in group theory of continuous groups (a.k.a. Lie groups, in particular the unitary group U(??)).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.

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 ?? qubits, is described by an ?? × ?? unitary matrix with ??=2??, a reversible classical circuit, acting on ?? bits, is described by a 2?? × 2?? permutation matrix. The permutation matrices are studied in group theory of finite groups (in particular the symmetric group ????); the unitary matrices are discussed in group theory of continuous groups (a.k.a. Lie groups, in particular the unitary group U(??)).

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.

Table of Contents: Acknowledgments / Introduction / Bottom / Bottom-Up / Top / Top-Down / Conclusion / Bibliography / Authors' Biographies / Index

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