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You searched for +publisher:"University of Southern California" +contributor:("Spedalieri, Federico"). Showing records 1 – 2 of 2 total matches.

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University of Southern California

1. Akerling, Zeve. Minor embedding for experimental investigation of a quantum annealer.

Degree: MS, Physics, 2015, University of Southern California

The D-Wave Quantum Annealer is of interest both for its potential as a quantum information processing platform and as an engineered quantum system for controlled physical experimentation. In this work the minor embedding graph theory problem is discussed in the context of mapping Ising model Hamiltonians onto quantum annealing devices. Some original implementations of minor embedding codes are then demonstrated. The work concludes by applying minor embedding to extend a quantum system identification experiment into a novel physical regime. Advisors/Committee Members: Lidar, Daniel A. (Committee Chair), Haas, Stephan W. (Committee Member), Spedalieri, Federico (Committee Member).

Subjects/Keywords: quantum computing; adiabatic quantum computing; programmable quantum annealing; engineered quantum systems; compiler; Ising model; minor embedding; graph theory; simulated annealing; genetic algorithm; quantum signature Hamiltonian; quantum system identification; decoherence; bipartite; Dijkstra shortest path

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Akerling, Z. (2015). Minor embedding for experimental investigation of a quantum annealer. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/594159/rec/4088

Chicago Manual of Style (16th Edition):

Akerling, Zeve. “Minor embedding for experimental investigation of a quantum annealer.” 2015. Masters Thesis, University of Southern California. Accessed March 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/594159/rec/4088.

MLA Handbook (7th Edition):

Akerling, Zeve. “Minor embedding for experimental investigation of a quantum annealer.” 2015. Web. 21 Mar 2019.

Vancouver:

Akerling Z. Minor embedding for experimental investigation of a quantum annealer. [Internet] [Masters thesis]. University of Southern California; 2015. [cited 2019 Mar 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/594159/rec/4088.

Council of Science Editors:

Akerling Z. Minor embedding for experimental investigation of a quantum annealer. [Masters Thesis]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/594159/rec/4088


University of Southern California

2. Pudenz, Kristen L. Applications and error correction for adiabatic quantum optimization.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

Adiabatic quantum optimization (AQO) is a fast-developing subfield of quantum information processing which holds great promise in the relatively near future. Here we develop an application, quantum anomaly detection, and an error correction code, Quantum Annealing Correction (QAC), for use with AQO. The motivation for the anomaly detection algorithm is the problematic nature of classical software verification and validation (V&V). The number of lines of code written for safety-critical applications such as cars and aircraft increases each year, and with it the cost of finding errors grows exponentially (the cost of overlooking errors, which can be measured in human safety, is arguably even higher). We approach the V&V problem by using a quantum machine learning algorithm to identify characteristics of software operations that are implemented outside of specifications, then define an AQO to return these anomalous operations as its result. ❧ Our error correction work is the first large-scale experimental demonstration of quantum error correcting codes. We develop QAC and apply it to USC’s equipment, the first and second generation of commercially available D-Wave AQO processors. We first show comprehensive experimental results for the code’s performance on antiferromagnetic chains, scaling the problem size up to 86 logical qubits (344 physical qubits) and recovering significant encoded success rates even when the unencoded success rates drop to almost nothing. A broader set of randomized benchmarking problems is then introduced, for which we observe similar behavior to the antiferromagnetic chain, specifically that the use of QAC is almost always advantageous for problems of sufficient size and difficulty. Along the way, we develop problem-specific optimizations for the code and gain insight into the various on-chip error mechanisms (most prominently thermal noise, since the hardware operates at finite temperature) and the ways QAC counteracts them. We finish by showing that the scheme is robust to qubit loss on-chip, a significant benefit when considering an implemented system. Advisors/Committee Members: Lidar, Daniel A. (Committee Chair), Brun, Todd A. (Committee Member), Ver Steeg, Greg (Committee Member), Spedalieri, Federico (Committee Member).

Subjects/Keywords: quantum computing; adiabatic; quantum error correction; quantum information

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pudenz, K. L. (2014). Applications and error correction for adiabatic quantum optimization. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468551/rec/860

Chicago Manual of Style (16th Edition):

Pudenz, Kristen L. “Applications and error correction for adiabatic quantum optimization.” 2014. Doctoral Dissertation, University of Southern California. Accessed March 21, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468551/rec/860.

MLA Handbook (7th Edition):

Pudenz, Kristen L. “Applications and error correction for adiabatic quantum optimization.” 2014. Web. 21 Mar 2019.

Vancouver:

Pudenz KL. Applications and error correction for adiabatic quantum optimization. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Mar 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468551/rec/860.

Council of Science Editors:

Pudenz KL. Applications and error correction for adiabatic quantum optimization. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/468551/rec/860

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