Complexity Theory and its Applications in Linear Quantum Optics
Jonathan Olson

TL;DR
This thesis explores the complexity of passive linear optics, focusing on BosonSampling, its computational challenges, and implications for quantum technology and optical metrology, highlighting recent advancements and future research directions.
Contribution
It provides a comprehensive overview of BosonSampling's complexity, its limitations, and its applications in quantum sensing, offering new insights and a conceptual framework for future developments.
Findings
BosonSampling is likely hard for classical computers to simulate.
Passive linear optical networks have significant computational complexity.
Quantum sensors may become viable with minimal technological improvements.
Abstract
This thesis is intended in part to summarize and also to contribute to the newest developments in passive linear optics that have resulted, directly or indirectly, from the somewhat shocking discovery in 2010 that the BosonSampling problem is likely hard for a classical computer to simulate. In doing so, I hope to provide a historic context for the original result, as well as an outlook on the future of technology derived from these newer developments. An emphasis is made in each section to provide a broader conceptual framework for understanding the consequences of each result in light of the others. This framework is intended to be comprehensible even without a deep understanding of the topics themselves. The first three chapters focus more closely on the BosonSampling result itself, seeking to understand the computational complexity aspects of passive linear optical networks, and…
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Taxonomy
TopicsPhotonic and Optical Devices · Optical Network Technologies · Quantum Information and Cryptography
