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1.
Optoelectronics for Refrigeration and Analog Circuits for Combinatorial Optimization
by Xiao, Tianyao Patrick, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13886372.
2.
Leveraging Arti cial Intelligence to Advance Problem-Solving with Quantum Annealers
by Ayanzadeh, Ramin, Ph.D.  University of Maryland, Baltimore County. 2020: 165 pages; 27960509.
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Periodic Ising correlations
by Hystad, Grethe, Ph.D.  The University of Arizona. 2009: 159 pages; 3386964.
6.
Stochastic Ising Models at Zero Temperature on Various Graphs
by Eckner, Sinziana Maria, Ph.D.  New York University. 2014: 69 pages; 3665138.
7.
Exceptional Times for the Discrete Web and Predictability in Ising Models
by Jenkins, Dan, Ph.D.  New York University. 2014: 73 pages; 3665159.
10.
Systemic Networks for High-Dimensional Exposures and Health Outcomes
by Lee, Jai Woo, Ph.D.  Dartmouth College. 2019: 92 pages; 13885205.
11.
Principles of Dynamics and Inference, with Applications to the Brain
by Weistuch, Corey, Ph.D.  State University of New York at Stony Brook. 2020: 89 pages; 28090345.
12.
La transversalité dans l'oeuvre littéraire d'Édouard Glissant
by Domond, Evens, Ph.D.  State University of New York at Albany. 2017: 245 pages; 10683774.
13.
Asymmetric fluid criticality
by Bertrand, Christopher Elliot, Ph.D.  University of Maryland, College Park. 2011: 115 pages; 3461083.
14.
Magnetic spin dynamics in iron phthalocyanine thin films
by Byrne, Matthew P., M.S.  California State University, Long Beach. 2016: 70 pages; 10167519.
15.
Collective effects in Single Molecule Magnets
by Subedi, Pradeep, Ph.D.  New York University. 2013: 146 pages; 3602734.
16.
Beyond dynamic textures: A family of stochastic dynamical models for video with applications to computer vision
by Chan, Antoni Bert, Ph.D.  University of California, San Diego. 2008: 291 pages; 3331461.
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18.
Investigations into the nature of magnetism in transition-metal-phthalocyanines
by Wang, Zhengjun, Ph.D.  West Virginia University. 2016: 166 pages; 10146559.
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20.
Tensor Network Wavefunctions for Topological Phases
by Ware, Brayden Alexander, Ph.D.  University of California, Santa Barbara. 2017: 158 pages; 10619656.
21.
Quantum Algorithms for Machine Learning and Optimization
by Li, Tongyang, Ph.D.  University of Maryland, College Park. 2020: 404 pages; 27830740.
22.
A Study of the Performance of D-Wave Quantum Computers Using Spanning Trees
by Hall, John Spencer, M.S.  Mississippi State University. 2018: 88 pages; 10792350.
23.
Dynamics of 2D Potts and Random-Cluster Models
by Gheissari, Reza, Ph.D.  New York University. 2019: 320 pages; 13810437.
25.
Zero and Low Energy Thresholds in Quantum Simulation
by Shi, Yun Xuan, M.S.  San Jose State University. 2019: 94 pages; 13884562.
26.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
27.
Computations in nonequilibrium systems: Enhanced sampling and dynamical phase transitions
by Dickson, Alexander, Ph.D.  The University of Chicago. 2011: 174 pages; 3472832.
28.
Computation and coding in the retina
by Schwartz, Gregory William, Ph.D.  Princeton University. 2008: 184 pages; 3305749.
29.
Quantum mechanical models with strictly ergodic disorder
by Mavi, Rajinder, Ph.D.  University of California, Irvine. 2012: 101 pages; 3513056.
30.
Algorithms for Interactive Machine Learning
by Poulis, Stefanos, Ph.D.  University of California, San Diego. 2019: 148 pages; 27542873.
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