Towards a Scalable Quantum Computing Platform in the Ultrastrong Coupling Regime

This thesis devotes three introductory chapters to outlining basic recipes for constructing the quantum Hamiltonian of an arbitrary superconducting circuit, starting from classical circuit design. Since a superconducting circuit is one of the most promising platforms for realizing a practical quantum computer, anyone who is starting out in the field will benefit greatly from this introduction. The second focus of the introduction is the ultrastrong light-matter interaction (USC), where the latest developments are described. This is followed by three main research works comprising quantum memory in USC; scaling up the 1D circuit to a 2D lattice configuration; creation of Noisy Intermediate-Scale Quantum era quantum error correction codes and polariton-mediated qubit-qubit interaction. The research work detailed in this thesis will make a major contribution to the development of quantum random access memory, a prerequisite for various quantum machine learningalgorithms and applications.​

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Towards a Scalable Quantum Computing Platform in the Ultrastrong Coupling Regime

This thesis devotes three introductory chapters to outlining basic recipes for constructing the quantum Hamiltonian of an arbitrary superconducting circuit, starting from classical circuit design. Since a superconducting circuit is one of the most promising platforms for realizing a practical quantum computer, anyone who is starting out in the field will benefit greatly from this introduction. The second focus of the introduction is the ultrastrong light-matter interaction (USC), where the latest developments are described. This is followed by three main research works comprising quantum memory in USC; scaling up the 1D circuit to a 2D lattice configuration; creation of Noisy Intermediate-Scale Quantum era quantum error correction codes and polariton-mediated qubit-qubit interaction. The research work detailed in this thesis will make a major contribution to the development of quantum random access memory, a prerequisite for various quantum machine learningalgorithms and applications.​

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Towards a Scalable Quantum Computing Platform in the Ultrastrong Coupling Regime

Towards a Scalable Quantum Computing Platform in the Ultrastrong Coupling Regime

by Thi Ha Kyaw
Towards a Scalable Quantum Computing Platform in the Ultrastrong Coupling Regime

Towards a Scalable Quantum Computing Platform in the Ultrastrong Coupling Regime

by Thi Ha Kyaw

eBook1st ed. 2019 (1st ed. 2019)

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Overview

This thesis devotes three introductory chapters to outlining basic recipes for constructing the quantum Hamiltonian of an arbitrary superconducting circuit, starting from classical circuit design. Since a superconducting circuit is one of the most promising platforms for realizing a practical quantum computer, anyone who is starting out in the field will benefit greatly from this introduction. The second focus of the introduction is the ultrastrong light-matter interaction (USC), where the latest developments are described. This is followed by three main research works comprising quantum memory in USC; scaling up the 1D circuit to a 2D lattice configuration; creation of Noisy Intermediate-Scale Quantum era quantum error correction codes and polariton-mediated qubit-qubit interaction. The research work detailed in this thesis will make a major contribution to the development of quantum random access memory, a prerequisite for various quantum machine learningalgorithms and applications.​


Product Details

ISBN-13: 9783030196585
Publisher: Springer-Verlag New York, LLC
Publication date: 06/04/2019
Series: Springer Theses
Sold by: Barnes & Noble
Format: eBook
File size: 19 MB
Note: This product may take a few minutes to download.

Table of Contents

Introduction.- Basics of superconducting circuits architecture.- Ultrastrong light-matter interaction.- Quantum error correcting codes in the USC regime.- Quantum memory in the USC regime.- Catalytic quantum Rabi model.- Conclusion and Future Work.- Appendix.
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