Simulating lattice gauge theories on a quantum computer

We examine the problem of simulating lattice gauge theories on a universal quantum computer. The basic strategy of our approach is to transcribe lattice gauge theories in the Hamiltonian formulation into a Hamiltonian involving only Pauli spin operators such that the simulation can be performed on a quantum computer using only one and two qubit manipulations. We examine three models, the U(1), SU(2), and SU(3) lattice gauge theories which are transcribed into a spin Hamiltonian up to a cutoff in the Hilbert space of the gauge fields on the lattice. The number of qubits required for storing a particular state is found to have a linear dependence with the total number of lattice sites. The number of qubit operations required for performing the time evolution corresponding to the Hamiltonian is found to be between a linear to quadratic function of the number of lattice sites, depending on the arrangement of qubits in the quantum computer. We remark that our results may also be easily generalized to higher SU(N) gauge theories.Comment: 15 pages, 4 figures, 3 table

Scanning tunneling optical resonance microscopy applied to indium arsenide quantum dot structures

The technique of Scanning Tunneling Optical Resonance Microscopy (STORM) has been investigated for use on nanostructures. It has been demonstrated as a viable technique to characterize both bulk and nanostructured materials by optically pumping the tip-sample junction with variable energy photons thereby changing the electronic signature in the scanning tunneling microscope allowing for the determination of the local absorption spectrum. STORM offers an alternative technique to characterize very small structures that lie beyond the limits of more conventional approaches

Investigation of foamed metals for application on space capsules annual report, 29 jun. 1963 - 15 aug. 1964

Foamed metal development for space capsules - brazing, variable density beam, thermal testing, mechanical tests, and machinin

Flight Instructor Professionalism

The inherent risk associated with aviation demands a high level of professionalism among aviation employees to ensure safety. Professionalism consists of factors such as technical competence, personal competence, neatness and attractiveness of dress, and personal conduct. Many of these factors are able to be taught, measured, or judged. However, conduct is an intangible quality that is not easily taught or quantified. As such, the professional behavior of aviation personnel is difficult for the FAA to mandate and regulate. An individual’s conduct is a learned behavior that originates through culture, role models, and experience. In aviation, conduct is instilled during the aviation education process when students begin to identify with the aviation profession and take on the personal attributes associated with it. In particular, students learn the majority of their values, beliefs, and ethics of aviation thought their role model, their flight instructor. As such, the flight instructor plays a critical role in the development of student professionalism and it is important for flight training organizations to measure and improve the professionalism of their flight instructor staff. In this research, a method to quantify flight instructor professionalism was created through the development of a 16 question survey. The results showed that professional conduct among flight instructors is comprised of four major components: (1) Respect; (2) Instructional leadership; (3) Altruism; and (4) Responsibility

Multiple beam antenna system

Using a computer program which plots beams from antennas located on synchronous satellites onto the earth's surface, several circular and elliptical reflectors were analyzed for pattern coverage. The reflectors considered were circular paraboloid and elliptical shaped

Employing Flight Simulation in the Classroom to Improve the Understanding of the Fundamentals of Instruction among Flight Instructor Applicants

An examination of the gap in the knowledge and understanding of teaching methods that exists in the aviation training industry is examined in this study. Previous research highlights the deficiencies associated with the initial training of Certificated Flight Instructors (CFIs). This study focuses on the training that is required on the fundamentals of instruction, specifically the difficulty associated with training future instructors on how to identify and respond appropriately to human behavior will be addressed. For the purpose of this study a virtual learning environment was created through role play and the use of flight simulation in the classroom. Two groups of CFI candidates were used. The first group consisted of 19 students and employed the traditional method of training. The second group consisted of 17 students and employed the use of role play and flight simulation in the classroom. The second group performed significantly better on the end of course knowledge exam that focused on the fundamentals of instruction. The results of the study suggest that the use of simulation and role play in the classroom has a significant impact on student understanding of the fundamentals of instruction

Scale-dependence of Non-Gaussianity in the Curvaton Model

We investigate the scale-dependence of f_NL in the self-interacting curvaton model. We show that the scale-dependence, encoded in the spectral index n_{f_NL}, can be observable by future cosmic microwave background observations, such as CMBpol, in a significant part of the parameter space of the model. We point out that together with information about the trispectrum g_NL, the self-interacting curvaton model parameters could be completely fixed by observations. We also discuss the scale-dependence of g_NL and its implications for the curvaton model, arguing that it could provide a complementary probe in cases where the theoretical value of n_{f_NL} is below observational sensitivity.Comment: 14 pages, 5 figures, Eq.(10) correcte