2026-09-21T05:51:39Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/121945 2024-03-01 col_2142_5131 col_2142_8859 com_2142_5130 com_2142_8858 com_2142_234

Chitambar, Eric A. Clark, Bryan K. Kwiat, Paul G. Dahmen, Karin A. 2023-12 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms The student, Brian Doolittle, accepted the attached license on 2023-09-21 at 10:52. The student, Brian Doolittle, submitted this Dissertation for approval on 2023-09-21 at 11:02. This Dissertation was approved for publication on 2023-09-28 at 18:49. DSpace SAF Submission Ingestion Package generated from Vireo submission #19833 on 2024-03-01 at 13:13:36 Doolittle, Brian Dopkins Quantum Nonclassicality Quantum Networks Noisy Quantum Networks Variational Quantum Optimization Quantum Network Automation Quantum Network Optimization Quantum Network Simulation Communication Networks Nonlocality Variational Quantum Networking Hybrid Quantum-classical Computing 2023-09-28 Quantum networks are rapidly being developed using the noisy quantum devices available today. As quantum networks scale, noise will lead to significant challenges in quantum network characterization, design, and automation, challenges that classical methods may be ill equipped to tackle. Moreover, the advantage and value of quantum networks is not well understood in the presence of noise, making it difficult to justify the cost of quantum network development for real-world applications. In this dissertation, we define operational nonclassicality as a quantifier of quantum advantage in general multipoint communication networks and describe a procedure for deriving operational tests of nonclassicality in general communication networks. Then, we develop a quantum-hardware-compatible variational optimization framework for optimizing quantum networks to exhibit nonclassicalilty. In a wide range of communication network topologies, including nonsignaling networks, multiaccess networks, broadcast networks, and interference networks, we derive operational tests that witness nonclassicality. We then use our variational framework to optimize various quantum resource configurations for maximal performance against these operational tests of nonclassicality. In all communication network topologies, we find examples where quantum resources lead to observable violations of the nonclassicality witnesses, implying that quantum resources provide a strict advantage over classical resources. Furthermore, we investigate how the presence of noise diminishes these advantages, and by extension, the value of quantum resources. Finally, we demonstrate that our variational optimization techniques can be deployed on quantum hardware and applied well beyond the scope of finding nonclassical quantum behaviors. In conclusion, we find that nearly all quantum resource configurations in communication networks can provide operational advantage as witnessed by operational tests of nonclassicality. These nonclassical network behaviors show novel ways that quantum physics defies the classical assumptions of locality, causality, and realism, but nonclassicality can also be used to test and certify quantum resources in communication networks. Furthermore, nonclassicality can also provide advantages in information security and distributed computing. We assert that variational quantum optimization techniques are well-suited to design and automation tasks in quantum networks. The advantages of these methods are that they are hardware agnostic, do not require full network characterization, and can optimize quantum systems against their inherent and unknown noise models. Thus, we introduce variational quantum networking as an engineering paradigm for designing and automating noisy quantum networks. In many ways, variational quantum networking circumvents the challenges of characterizing, designing, and automating noisy quantum networks. Text eng https://hdl.handle.net/2142/121945 Copyright 2023 Brian Doolittle Nonclassicality in noisy quantum networks Ph.D. Dissertation Physics University of Illinois at Urbana-Champaign Physics