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Quantum stabilizer codes and beyondSarvepalli, Pradeep Kiran 10 October 2008 (has links)
The importance of quantum error correction in paving the way to build a practical
quantum computer is no longer in doubt. Despite the large body of literature in quantum
coding theory, many important questions, especially those centering on the issue of "good
codes" are unresolved. In this dissertation the dominant underlying theme is that of constructing
good quantum codes. It approaches this problem from three rather different but
not exclusive strategies. Broadly, its contribution to the theory of quantum error correction
is threefold.
Firstly, it extends the framework of an important class of quantum codes - nonbinary
stabilizer codes. It clarifies the connections of stabilizer codes to classical codes over
quadratic extension fields, provides many new constructions of quantum codes, and develops
further the theory of optimal quantum codes and punctured quantum codes. In particular
it provides many explicit constructions of stabilizer codes, most notably it simplifies
the criteria by which quantum BCH codes can be constructed from classical codes.
Secondly, it contributes to the theory of operator quantum error correcting codes also
called as subsystem codes. These codes are expected to have efficient error recovery
schemes than stabilizer codes. Prior to our work however, systematic methods to construct
these codes were few and it was not clear how to fairly compare them with other classes of
quantum codes. This dissertation develops a framework for study and analysis of subsystem
codes using character theoretic methods. In particular, this work established a close
link between subsystem codes and classical codes and it became clear that the subsystem codes can be constructed from arbitrary classical codes.
Thirdly, it seeks to exploit the knowledge of noise to design efficient quantum codes
and considers more realistic channels than the commonly studied depolarizing channel.
It gives systematic constructions of asymmetric quantum stabilizer codes that exploit the
asymmetry of errors in certain quantum channels. This approach is based on a Calderbank-
Shor-Steane construction that combines BCH and finite geometry LDPC codes.
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On The Fourier Transform Approach To Quantum Error ControlKumar, Hari Dilip 07 1900 (has links) (PDF)
Quantum mechanics is the physics of the very small. Quantum computers are devices that utilize the power of quantum mechanics for their computational primitives. Associated to each quantum system is an abstract space known as the Hilbert space. A subspace of the Hilbert space is known as a quantum code. Quantum codes allow to protect the computational state of a quantum computer against decoherence errors.
The well-known classes of quantum codes are stabilizer or additive codes, non-additive codes and Clifford codes. This thesis aims at demonstrating a general approach to the construction of the various classes of quantum codes. The framework utilized is the Fourier transform over finite groups.
The thesis is divided into four chapters. The first chapter is an introduction to basic quantum mechanics, quantum computation and quantum noise. It lays the foundation for an understanding of quantum error correction theory in the next chapter.
The second chapter introduces the basic theory behind quantum error correction. Also, the various classes and constructions of active quantum error-control codes are introduced.
The third chapter introduces the Fourier transform over finite groups, and shows how it may be used to construct all the known classes of quantum codes, as well as a class of quantum codes as yet unpublished in the literature. The transform domain approach was originally introduced in (Arvind et al., 2002). In that paper, not all the classes of quantum codes were introduced. We elaborate on this work to introduce the other classes of quantum codes, along with a new class of codes, codes from idempotents in the transform domain.
The fourth chapter details the computer programs that were used to generate and test for the various code classes. Code was written in the GAP (Groups, Algorithms, Programming) computer algebra package.
The fifth and final chapter concludes, with possible directions for future work.
References cited in the thesis are attached at the end of the thesis.
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