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Algorithms and Platforms for Quantum...

Wild, Dominik S.

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Algorithms and Platforms for Quantum Science and Technology.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Algorithms and Platforms for Quantum Science and Technology./
Author:	Wild, Dominik S.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	241 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
Contained By:	Dissertations Abstracts International82-11B.
Subject:	Condensed matter physics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28452575
ISBN:	9798597060262

Algorithms and Platforms for Quantum Science and Technology.
Wild, Dominik S.

Algorithms and Platforms for Quantum Science and Technology. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 241 p.

Source: Dissertations Abstracts International, Volume: 82-11, Section: B.

Thesis (Ph.D.)--Harvard University, 2020.

This item must not be sold to any third party vendors.

The field of quantum science and technology has seen tremendous recent progress. Despite this, building large-scale quantum devices remains daunting as fault tolerance is a distant goal in all current experimental platforms. This dissertation discusses two complementary avenues towards practically relevant quantum technologies.In the first part, we explore physically inspired quantum algorithms that run on near-term devices without quantum error correction. We investigate the robustness of adiabatic quantum algorithms, placing stringent requirements on noise induced by the environment. In addition, we construct quantum algorithms that sample from classical Gibbs distributions. These algorithms elucidate connections between computational complexity and phase transitions and provide physical insight into the origin of quantum speedup.The second part focuses on novel platforms and optical interfaces for quantum applications. We demonstrate that optical resonances in ordered arrays of atoms and atomically thin semiconductors offer a powerful tool to control and manipulate light at both the classical and single-photon level. We further study interactions between optical excitations and charge carriers in two-dimensional semiconductors, which give rise to complex quantum many-body dynamics in a largely unexplored regime.

ISBN: 9798597060262Subjects--Topical Terms:

3173567
Condensed matter physics.
Subjects--Index Terms:

Quantum optics

Algorithms and Platforms for Quantum Science and Technology.
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500 $a Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
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502 $a Thesis (Ph.D.)--Harvard University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a The field of quantum science and technology has seen tremendous recent progress. Despite this, building large-scale quantum devices remains daunting as fault tolerance is a distant goal in all current experimental platforms. This dissertation discusses two complementary avenues towards practically relevant quantum technologies.In the first part, we explore physically inspired quantum algorithms that run on near-term devices without quantum error correction. We investigate the robustness of adiabatic quantum algorithms, placing stringent requirements on noise induced by the environment. In addition, we construct quantum algorithms that sample from classical Gibbs distributions. These algorithms elucidate connections between computational complexity and phase transitions and provide physical insight into the origin of quantum speedup.The second part focuses on novel platforms and optical interfaces for quantum applications. We demonstrate that optical resonances in ordered arrays of atoms and atomically thin semiconductors offer a powerful tool to control and manipulate light at both the classical and single-photon level. We further study interactions between optical excitations and charge carriers in two-dimensional semiconductors, which give rise to complex quantum many-body dynamics in a largely unexplored regime.
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653 $a Quantum optics
653 $a Quantum computing
653 $a Quantum algorithms
653 $a Two-dimensional materials
653 $a Transition metal dichalcogenides
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