Quantum information processing has the potential of implementing faster algorithms for numerous problems, communicating with more secure channels, and performing higher precision sensing compared to classical methods. Recent experimental technology advancement has brought us a promising future of harnessing such quantum advantage. Yet, quantum engineering entails wise control and strategy under the current noisy intermediate-scale quantum era. Developing robust and efficient approaches to manipulating quantum systems based on constrained and limited resources is imperative. This dissertation focuses on two major topics theoretically. In the first part, this work present how to conceive robust quantum control on matter-based qubits with a geometric approach. We have proposed the method of designing noise robust control pulses suitable for practical devices by combining spatial curves, filter functions, and machine learning. In the second part, this work stresses the topic of photonic multipartite entangled graph states. An improved protocol of generating arbitrary graph states is introduced. We show that one can efficiently find the deterministic photon emission circuit with minimal overhead on the number of quantum emitters. / Doctor of Philosophy / As classical information technology has revolutionized our modern world, theoretically, quantum information technology outperforms its classical counterpart and has the potential to achieve further progress.
Utilizing the non-classical features unique to quantum physics, one can build quantum computers capable of accelerating data searching, breaking most current cryptographic systems, simulating molecular-level dynamics, and enhancing artificial intelligence. Furthermore, one can use the entangled quantum resource to establish secure communication or increase the capacity of the classical communication channel.
Although numerous applications may reshape our daily life, industry, and scientific research, the mastery of quantum information technology is still challenging since quantum systems are more susceptible to noise than classical systems.
Unlike classical signal processing, reading out an unknown quantum state will irreversibly change the state, while copying an unknown quantum state is strictly infeasible. Therefore, detecting and correcting errors from quantum data can be tricky.
Depending on different platforms, establishing a complicated quantum network can also be constrained by the near-term noisy device.
Mainly, what this work attempts to innovate are the previous results on quantum dynamical control pulse design and the protocol of entangling photons.
For the former, the goal of this work is to develop control pulses that can decouple coherent noise in the quantum computer when manipulating the quantum information.
This work combines the mathematical framework of spatial curve quantum control with filter functions and machine learning to yield new outcomes.
The flexibility of this framework enables us to give neat mathematical analysis and obtain satisfying control pulses design for physical implementations through numerical experiments.
For the latter, this work studies a promising scheme of deterministically producing an entangling photonic quantum network, where quantum emitters are treated as the media to build up quantum non-locality.
Achieving this emission process in the real world is desirable for distributing entangled quantum resources and realizing measurement-based quantum computation.
In this case, we analyze the emitter overhead needed to generate an entangling photonic resource state, specifically when sending photons back for interactions is inaccessible.
At last, we propose an efficient algorithm for producing the generation protocol along with several practical examples whose overheads on quantum emitters number are strictly optimized.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/113649 |
| Date | 02 February 2023 |
| Creators | Li, Bikun |
| Contributors | Physics, Barnes, Edwin Fleming, Economou, Sophia E., Tauber, Uwe C., Nguyen, Vinh |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Format | ETD, application/pdf, application/x-zip-compressed |
| Rights | Creative Commons Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/ |
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