USC Physics Seminars
Quantum Information –
Condensed Matter – Biophysics
These seminars are scheduled on Fridays at 2:00pm, and the location is SSL 150, unless otherwise noted. Some of the seminars will be held jointly with UCLA and CALTECH.
For more information contact Lorenzo Campos Venuti (condensed matter) or Ben Reichardt (quantum information). Biophysics seminars are held the first Friday of each month and are indicated in blue.
UPC seminar location: Ahmanson Center for Biological Research, ACB 238. UPC location for remote viewing of HSC seminars: To be determined.
HSC seminar location: Herklotz seminar room, Zilkha Neurogenetic Institute HSC. Location for remote viewing of UPC seminars: Herklotz
August 28, 2pm SSL150
Andreia Seguia (Universidade Federal Fluminense Brazil)
Quantum phase transitions in a chain with two- and four-spin interactions in a transverse field
We use entanglement entropy to investigate the ground-state properties of a spin-1/2 Ising chain with two-spin (J2) and four-spin (J4) interactions in a transverse magnetic field (B). We concentrate our study on the unexplored critical region B=1 and obtain the phase diagram of the model in the (J4-J2) plane. The phases found include ferromagnetic (F), antiferromagnetic (AF), as well as more complex phases involving spin configurations with multiple periodicity. The system presents both first- and second-order transitions separated by tricritical points. We find an unusual phase boundary on the semi-infinite segment (J4<1,J2=0) separating the F and AF phases.
September 4, 2pm HSC
James Boedicker (PHYS)
2015 BIOPHYSICS SEMINAR SERIESPredicting and Controlling the Activity of Microbial Ecosystems
September 18, 2pm SSL150
Jie Yuan (RWTH Aachen, Germany)
Triplet pairing driven by Hund's coupling in doped monolayer MoS2
We investigate superconducting pairing driven by electron-electron interactions in a theoretical model for monolayer MoS2 with the temperature-flow functional renormalization group (fRG). At low doping, the dominant instability is toward odd-parity pairing with f-wave Mo-nearest-neighbor structure. We compute the fRG phase diagram versus electron doping below the van Hove filling of the conduction band. In the superconducting regime, the critical temperature grows with doping, comparable to the experiments. Near van Hove filling the system favors a ferromagnetic state. We demonstrate that the triplet pairing is driven by ferromagnetic fluctuations and that the multiorbital nature of the conduction band as well as the Hund’s coupling appear crucial in making the physics of MoS2 different from e.g. doped graphene.
Emily Liman (BIOL)
October 9, 2pm SSL150
Paul Marjoram (Biostatistics Division, Keck School of Medicine, USC)
Statistical Analysis of High-Dimensional Data
Modern datasets are growing increasingly large and complex. This leads to lack of tractability for traditional analysis methods, often resulting in the use of approaches such as optimization that are designed to find a single, best-fitting model. In this talk we argue for the advantages of a full, statistical treatment of such data, which allows for principled inference regarding the relative fit of differing models or parameter values. We then outline the way that existing statistical methods have been adapted in order to restore tractability of such analyses in the modern, high-dimensional context, primarily through increasing exploitation of simulation-based methods. We illustrate with a number of examples from the field of biology, including agent-based models. Finally, we discuss connections between those biological systems and interactive particle systems, arguing for the potential for physics to bring some theoretical rigor to the often somewhat ad-hoc predictions of biological models.
October 23, 2pm SSL150
Ariane Briegel (Caltech)
New insights into structure, assembly and function of chemoreceptor arrays from electron cryotomography
Nearly all motile prokaryotic cells utilize a highly sensitive and adaptable sensory system to detect changes in nutrient concentrations in the environment and guide their movements towards attractants and away from repellents. This chemosensory system allows the cells to selectively colonize preferential environments and is also involved in host infection by some pathogenic bacteria.
The bacterial chemoreceptor array is a polar, highly organized sensory patch composed of thousands of transmembrane receptor proteins. Attractants and repellents bind to the sensory domains of these receptors, thereby regulating activity of the histidine kinase CheA, which phosphorylates a soluble messenger protein. This messenger protein in turn diffuses through the cytoplasm to the flagellar basal body, where it modulates the direction of flagellar rotation.
By combining 3D data from electron cryotomography (ECT) with high resolution structures derived from crystallography, we have determined that native chemoreceptor arrays are composed of trimers of receptor-dimers that are connected by rings of the histidine kinase and a linking protein, CheW. Analyses of receptor complexes assembled both in vitro and in vivo have yielded new insights into de novo array formation. Following commonly used in vitro protocols and comparing these assemblies with in vivo arrays, we have proposed a model for the formation of chemoreceptor arrays in which CheA and CheW cross-link the receptors into an extended hexagonal lattice.
To gain insight into how the activity of the kinase CheA is controlled in the native array, we used ECT to characterize a set of receptor mutants that lock the kinase in specific activation states. These studies revealed that kinase activity relies on the flexibility of two of the five kinase domains, and that inactivation occurs by the unproductive binding of these domains.
While the best-studied bacterial chemoreceptor arrays are membrane-bound, many motile bacteria and archaea contain one or more additional, purely cytoplasmic chemoreceptor systems. We have recently reported the architecture of the cytoplasmic chemoreceptor arrays and are currently investigating a novel, third chemoreceptor array that is membrane bound but lacks any detectable membrane binding domain.
October 30, 2pm SSL150
Micah McCauley (Northeastern)
Energy Landscapes Determined from Single Molecule Non-Equilibrium Experiments
HIV-1 nucleocapsid (NC) proteins facilitate the rearrangement of nucleic acid secondary structure, allowing the transactivation response (TAR) RNA hairpin to be transiently destabilized during reverse transcription. Single molecule optical tweezers measurements were used to probe the stability of RNA hairpins as NC was introduced. Unfortunately, these experiments produce forces that drive hairpin unfolding/folding far from equilibrium. To overcome this limitation, the methods of Jarzynski, Crooks, Bennett and Dudko have been developed to deduce equilibrium and transition state energies of a reaction during non-equilibrium experiments. Combining these results with a quantitative mfold-based model, we characterize the equilibrium TAR stability and unfolding barrier for TAR RNA. We find that a subset of preferential protein binding sites is responsible for the observed changes in the unfolding landscape, including an unusual shift in the transition state, and results in the dramatic destabilization of this specific structure that is required for reverse transcription.
November 6, 2pm HSC
Osman Kahraman (USC)
Multiscale theory of membrane protein organization and function
Many cellular processes rely crucially on the concerted functions of integral and peripheral membrane proteins. Recent experimental breakthroughs have revealed that cell membranes are not passive envelopes with membrane proteins functioning in isolation. Instead, many key aspects of cell membrane function emerge from the collective properties of protein structure, interactions between proteins and the surrounding lipid bilayer, membrane shape, and the supramolecular organization of proteins into membrane protein lattices. In the Haselwandter group we develop novel theoretical models to capture the physical mechanisms underlying the supramolecular organization and collective function of membrane proteins. I will illustrate our work by discussing the self-assembly of membrane protein polyhedral nanoparticles, the multimerization of N-BAR proteins, and the organization of synaptic receptor domains.
November 13, 2pm SSL150
Michael Peterson (California State University Long Beach)
Non-abelian anyons in the fractional quantum Hall effect
In strongly correlated systems in two-dimensions, new quantum topologically ordered phases of matter can emerge with the fractional quantum Hall effect being the best example. These fascinating phases can have (quasi-)particle excitations with fractional charge and fractional (braiding) statistics, i.e., anyons. So-called non-abelian anyons have potential applications in the construction of a fault-tolerant topological quantum computer. I will discuss numerical studies of non-abelian anyon states in the second Landau level of the fractional quantum Hall effect.
November 20, 2pm SSL150
Richard Ross (HRL laboratories)
Electrically Controlled Qubits in Silicon
Quantum information processing aims to leverage the properties of quantum mechanics to manipulate information in ways that are not otherwise possible. This would enable, for example, quantum computers that could solve certain problems exponentially faster than a conventional supercomputer. One promising approach for building such a machine is to use gated silicon quantum dots. In the approach taken at HRL Laboratories, individual electrons are trapped in a gated potential well at the barrier of a Si/SiGe heterostructure. Spins on these electrons are compelling candidates for qubits due to their long coherence time, all-electrical control, and compatibility with conventional fabrication techniques. In this talk I will discuss the recent demonstration of all-electrical control of silicon-based qubits made from triple quantum dots in isotopically purified material, including methods to mitigate charge noise. The results indicate a strong future for silicon-based quantum technology.
December 4, 2pm UPC
Ralf Langen (BIOC)
December 11, 2pm SSL150
Lea F. Santos (Yeshiva University, New York)
Nonequilibrium dynamics and thermalization of isolated many-body quantum systems
We study the evolution of isolated systems with two-body interactions after an abrupt perturbation. Two aspects are addressed: the conditions for the system to reach thermal equilibrium and the description of the relaxation process. Both depend on the interplay between the initial state and the Hamiltonian after the perturbation, rather than only on the regime of the system. Thermalization may not occur in the chaotic regime if the energy of the initial state is close to the edges of the spectrum and it may take place in integrable systems provided the initial state be sufficiently delocalized in the energy eigenbasis. In the latter case, the dynamics is very fast. The decay may be exponential, Gaussian, and even faster than Gaussian. We show how the limit imposed by the energy-time uncertainty relation can be reached. In contrast, the time evolution slows down significantly when the system undergoes an excited state quantum phase transition or when disorder is added to the Hamiltonian.
January 15, 2pm SSL150
Yazhen Wang (University of Wisconsin-Madison)
Statistical Analysis of Annealing Experiment Data
We propose statistical methodologies to analyze computing experimental data from a D-Wave device and simulated data from the MCMC based annealing methods, and establish asymptotic theory and check finite sample performances for the proposed statistical methodologies. Our findings confirm bimodal histogram patterns displayed in input-output data from the D-Wave device and both U-shape and unimodal histogram patterns exhibited in input-output data from the MCMC based annealing methods. Further statistical explorations reveal possible sources for the U-shape patterns. On the other hand,our statistical analysis produces statistical evidences to indicate that input-output data from the D-Wave device are not consistent with the stochastic behaviors of any MCMC based annealing models under the study.
January 22, 2pm SSL150
Zoltan Zimboras (University College London)
Entanglement negativity of bosonic and fermionic Gaussian states
In pure states of many-body systems, entanglement is routinely studied via the von Neumann (or entanglement) entropy and various forms of Renyi entropies, which provides a complete characterization of bipartite correlations. The situation becomes more complicated for mixed states, e.g., if the system is composed of more than two parts, and one is interested in the entanglement between two non-complementary pieces. In such a scenario the entanglement can be characterized by a suitable measure called logarithmic negativity which has been the focus of recent interest. Similarly to pure-state entanglement, most of our analytical understanding of negativity in many-body lattice systems originates from studying Gaussian states. In this talk I will give an overview about the available methods to extract information about the entanglement negativity in quasifree lattice models. In particular, I will present some new results on tripartite entanglement in ground states of critical lattice models in one and two dimensions and, furthermore, even for systems driven far from equilibrium.
January 29, 11am SSC319
Mohd Hamdi Bin Abd Shukor (Kuala Lumpur)
Development of functional coatings
Several functional coatings (HAp, TiN, TiO2, Al2O3, CrAlN), were developed in our research group for various applications mainly biomedical, automotive and aerospace. The used of different techniques like magnetron sputtering, physical vapor deposition, thermal spray, anodization and combustion synthesis were utilized to deposit the coatings. The main objectives of applying such coatings were to improve the overall performance of the parts or devices in terms of mechanical properties and/or biological response in the case of biomedical implants. Finite element method (FEM) was carried out to ascertain the mechanical behavior of the coating.
Samples were subjected to relevant characterization analysis and physico-chemical tests. Analysis such as SEM/EDX, XRD, XPS, EBSD, TEM and FTIR were often employed for that purpose. Scratch test, adhesion test, micro or nano-indentation and tribological test were the usual tests conducted to determine the mechanical properties of the coatings. The subsequent in-vitro and in-vivo tests were carried out on bioceramic samples to investigate biocompatibility and corrosion behavior of the samples.
Magnetron sputtering system having RF and DC targets is one of main devices available in the lab. Bioceramic layers like Hydroxyapatite (HAp), TiO2, Al2O3, were produced onto different metallic alloy substrates like Ti6Al4V, Ti6Al7Nb and stainless steel. Anodization process was incorporated to produce TiO2 nanotube arrays to enhance the formation of HAp.
Recently, a newly developed powder based magnetron sputtering system was installed in the lab. It is undergoing rigorous assessment and calibration test. A lot of exciting experiments can be conducted if the system is able to successfully sputter powder.
February 5, 12am SSL150
Crystal Senko (JQI)
February 19, 2pm SSL150
Elizabeth Crosson (Caltech)
Simulated quantum annealing can be exponentially faster than classical simulated annealing
Simulated Quantum Annealing (SQA) is a Markov Chain Monte Carlo algorithm that samples the equilibrium thermal state of a Quantum Annealing (QA) Hamiltonian. In addition to simulating quantum systems, SQA can also be considered as another physics-inspired classical algorithm for combinatorial optimization, alongside classical simulated annealing. However, in many cases it remains an open challenge to compare the performance of QA and SQA. In this talk I will describe a recent proof which shows that SQA efficiently converges to the global minimum of a bit-symmetric cost function with a thin, high energy barrier. This cost function was designed so that classical simulated annealing would take exponential time to climb over the barrier with thermal fluctuations, while QA is able to tunnel through the barrier efficiently. Our work provides evidence for the growing consensus that SQA inherits at least some of the advantages of tunneling in QA, and so QA is unlikely to achieve exponential speedups over classical computing solely by the use of quantum tunneling.
March 4, 2pm SSL150
Mohammed Hassan (Caltech)
March 25, 2pm SSL150
Micah McCauley (Northeastern)
USC Caltech UCLA ITP