• Numerical Studies of Quantum Chaos in Various Dynamical Systems 

  Rozenbaum, Efim (2020)

  We study two classes of quantum phenomena associated with classical chaos in a variety of quantum models: (i) dynamical localization and its extension and generalization to interacting few- and many-body systems and (ii) ...

• Mixed-Species Ion Chains for Quantum Networks 

  Sosnova, Ksenia (2020)

  Quantum computing promises solutions to some of the world's most important problems that classical computers have failed to address. The trapped-ion-based quantum computing platform has a lot of advantages for doing so: ...

• UNCOVERING PATTERNS IN COMPLEX DATA WITH RESERVOIR COMPUTING AND NETWORK ANALYTICS: A DYNAMICAL SYSTEMS APPROACH 

  Krishnagopal, Sanjukta (2020)

  In this thesis, we explore methods of uncovering underlying patterns in complex data, and making predictions, through machine learning and network science. With the availability of more data, machine learning for data ...

• Laser wakefield accelerator experiments: coherent injection radiation and optical field ionization-based plasma waveguides 

  Miao, Bo (2020)

  Laser wakefield electron accelerators (LWFAs) can support accelerating gradients three orders of magnitude higher than conventional radio frequency linear accelerators, enabling compact laser-driven devices. In this ...

• LOCAL MOLECULAR FIELD THEORY FOR NON-EQUILIBRIUM SYSTEMS 

  Baker III, Edward Bigelow (2019)

  Local Molecular Field (LMF) theory is a framework for modeling the long range forces of a statistical system using a mimic system with a modified Hamiltonian that includes a self consistent molecular potential. This ...

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