Observation of Entangled States of a Fully Controlled 20-Qubit System

We generate and characterise entangled states of a register of 20 individually controlled qubits, where each qubit is encoded into the electronic state of a trapped atomic ion. Entanglement is generated amongst the qubits during the out-of-equilibrium dynamics of an Ising-type Hamiltonian, engineered via laser fields. Since the qubit-qubit interactions decay with distance, entanglement is generated at early times predominantly between neighbouring groups of qubits. We characterise entanglement between these groups by designing and applying witnesses for genuine multipartite entanglement. Our results show that, during the dynamical evolution, all neighbouring qubit pairs, triplets, most quadruplets, and some quintuplets simultaneously develop genuine multipartite entanglement. Witnessing genuine multipartite entanglement in larger groups of qubits in our system remains an open challenge.Comment: 20 pages, 4 figure

Designing electronic properties of two-dimensional crystals through optimization of deformations

One of the enticing features common to most of the two-dimensional electronic systems that are currently at the forefront of materials science research is the ability to easily introduce a combination of planar deformations and bending in the system. Since the electronic properties are ultimately determined by the details of atomic orbital overlap, such mechanical manipulations translate into modified electronic properties. Here, we present a general-purpose optimization framework for tailoring physical properties of two-dimensional electronic systems by manipulating the state of local strain, allowing a one-step route from their design to experimental implementation. A definite example, chosen for its relevance in light of current experiments in graphene nanostructures, is the optimization of the experimental parameters that generate a prescribed spatial profile of pseudomagnetic fields in graphene. But the method is general enough to accommodate a multitude of possible experimental parameters and conditions whereby deformations can be imparted to the graphene lattice, and complies, by design, with graphene's elastic equilibrium and elastic compatibility constraints. As a result, it efficiently answers the inverse problem of determining the optimal values of a set of external or control parameters that result in a graphene deformation whose associated pseudomagnetic field profile best matches a prescribed target. The ability to address this inverse problem in an expedited way is one key step for practical implementations of the concept of two-dimensional systems with electronic properties strain-engineered to order. The general-purpose nature of this calculation strategy means that it can be easily applied to the optimization of other relevant physical quantities which directly depend on the local strain field, not just in graphene but in other two-dimensional electronic membranes.Comment: 37 pages, 9 figures. This submission contains low-resolution bitmap images; high-resolution images can be found in version 1, which is ~13.5 M

E-Learning and Its Impact on Library & Information Services

Recently there has been a rapid growth in internet in the use of on-line education, which means of becoming literate with new mechanism such as computer networks, content portals, e-libraries, distance learning and web enabled class rooms. The present paper covers what is e-learning, need for e-learning, technological tool used for e-learning etc. Designing aspects of e-learning will also be covered. As we have living in the era IT, it has pervaded the all fields of human lives. So, it has entered the library and information profession also. Areas of library and information profession, which is influenced or brought revolutionary changes with the impact of e-learning are also mentioned

Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach

Distance-based outlier detection is widely adopted in many fields, e.g., data mining and machine learning, because it is unsupervised, can be employed in a generic metric space, and does not have any assumptions of data distributions. Data mining and machine learning applications face a challenge of dealing with large datasets, which requires efficient distance-based outlier detection algorithms. Due to the popularization of computational environments with large memory, it is possible to build a main-memory index and detect outliers based on it, which is a promising solution for fast distance-based outlier detection. Motivated by this observation, we propose a novel approach that exploits a proximity graph. Our approach can employ an arbitrary proximity graph and obtains a significant speed-up against state-of-the-art. However, designing an effective proximity graph raises a challenge, because existing proximity graphs do not consider efficient traversal for distance-based outlier detection. To overcome this challenge, we propose a novel proximity graph, MRPG. Our empirical study using real datasets demonstrates that MRPG detects outliers significantly faster than the state-of-the-art algorithms

Desain dan Pengembangan Sistem Kecerdasan Robotika Muatan Roket dengan 5 Derajat Kebebasan dengan Kontrol Sistem Pendaratan Navigasi X-Y Kartesian

In this study a design and manufacture a rocket payload system that has the ability to fly autonomously intelligently is discussed. The rocket payload system was designed to be able to return to the landing position. This system consists of two sub systems, namely rocket payload and host computer (ground segment). A robotic-based rocket payload has a CPU-based system controller with a specific I/O for sensor-actuator is equipped with a set of telemetry systems. The I/O data can be sent to the host computer at the ground segment. Host computer with the ground segment is a useful tool to receive data from a rocket payload telemetry or navigation data which is then processed by a computer in the form of tables, graphs and map navigation. Direction control systems used for rocket payload system is fuzzy logic control with the input of compass and GPS data and the output scale propeller actuation to the system used by rocket payload. Testing of control systems was conducted in laboratory scale. Input is data of the desired setpoint with output in PWM DC Motor form to stabilize the rocket payload. The test results obtained for this direction control system to minimize the ∆error value of the set point desired direction so that the error is almost close to zer

Criticality meets sustainability: Constructing critical practices in design research for sustainability

Sustainability requires a wider awareness of the changing conditions for design today – rather than focused solely on preserving nature or conserving energy, per se, this opens up for challenging assumptions about relations between design and society and for constructing new forms of critical practice. Tracing tendencies in conceptual and (post)critical design, this paper argues for further developing the critical discourse within design today and design research as an important arena for extending the ideological and artifactual production of such discourse to users and stakeholders. In relation to my own experiences within the Static! and Switch! design research programs, these perspective are anchored in conceptual, operational, and practical examples of critical practices applied in the area of energy awareness