Quantum Information processing by NMR: Implementation of Inversion-on-equality gate, Parity gate and Fanout gate

While quantum information processing by nuclear magnetic resonance (NMR) with small number of qubits is well established, implementation of lengthy computations have proved to be difficult due to decoherence/relaxation. In such circumstances, shallow circuits (circuits using parallel computation) may prove to be realistic. Parity and fanout gates are essential to create shallow circuits. In this article we implement inversion-on-equality gate, followed by parity gate and fanout gate in 3-qubit systems by NMR, using evolution under indirect exchange coupling Hamiltonian.Comment: 24 pages, 7 figure

Programmable quantum state discriminator by Nuclear Magnetic Resonance

In this paper a programmable quantum state discriminator is implemented by using nuclear magnetic resonance. We use a two qubit spin-1/2 system, one for the data qubit and one for the ancilla (programme) qubit. This device does the unambiguous (error free) discrimination of pair of states of the data qubit that are symmetrically located about a fixed state. The device is used to discriminate both, linearly polarized states and elliptically polarized states. The maximum probability of the successful discrimination is achieved by suitably preparing the ancilla qubit. It is also shown that, the probability of discrimination depends on angle of unitary operator of the protocol and ellipticity of the data qubit state.Comment: 22 pages and 9 figure

Technical Barriers to Interstate Trade: Noxious Weed Regulations

We focus on regulations controlling the spread of noxious weeds, especially the trade effects of regulatory differences across U.S. states. We specify a gravity model for each state’s seed, nursery product, and commodity trade with each other state. Within the gravity model, we examine the role of cross-state regulatory congruence arising from ecological and agronomic characteristics and interest-group lobbying. A spatial-autoregressive Tobit model is estimated with a modified expectation-maximization algorithm. Results show that weed regulatory congruence positively affects interstate trade. By fostering cross-state regulatory differences, consumer and commodity-producer lobbying reduce the value of interstate trade by about two percent per annum.interstate trade, invasive species, rent-seeking, Agribusiness, Community/Rural/Urban Development, Food Consumption/Nutrition/Food Safety, Land Economics/Use, Political Economy, Public Economics, Research Methods/ Statistical Methods, F1, H7, Q5,

Welfare Effects of Technological Convergence in the Food Industries

In this paper we investigate the welfare effects of technological convergence in the food industries. We extend Krugman's (1980) monopolistic competition model to allow for technological differences between two (groups of) countries. Technological convergence is reflected in a narrowing inter-country gap between fixed or marginal production cost, and the effects of convergence on output composition, factor rewards, trade pattern, and consumer welfare are derived. The theoretical predictions are examined and confirmed using an internationally comparable dataset.Agribusiness,

Tobacco business in India

Thesis (M.B.A.)--Boston Universit

Implementation of controlled phase shift gates and Collins version of Deutsch-Jozsa algorithm on a quadrupolar spin-7/2 nucleus using non-adiabatic geometric phases

In this work Controlled phase shift gates are implemented on a qaudrupolar system, by using non-adiabatic geometric phases. A general procedure is given, for implementing controlled phase shift gates in an 'N' level system. The utility of such controlled phase shift gates, is demonstrated here by implementing 3-qubit Deutsch-Jozsa algorithm on a 7/2 quadrupolar nucleus oriented in a liquid crystal matrix.Comment: 23 pages, 7 figure

Rent-Seeking in Noxious Weed Regulations: Evidence from US States

Many non-native insect, disease, and weed pests of food, fiber, and nursery crops pose threats to the U.S. environment, agricultural production, and exports. In this study we focus on regulations controlling the spread of noxious weeds, especially the regulatory differences among US states and investigate the determinants of such regulations. With a simple game-theoretic framework, we derive cross-state regulatory congruence as a function of ecological and agronomic characteristics and stakeholder lobbying through political contributions. Empirical results suggest ecological and agronomic dissimilarities drive large cross-state differences in noxious weed regulation across states. However, evidence of stakeholder interests in shaping these regulations is found to be statistically significant. In particular, the seed industry appears to favor more uniform regulations among US states.Environmental Economics and Policy,

ARTIFICIAL INTELLIGENCE AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR OPTIMIZATION PROBLEM IN MICROGRIDS

The modern heuristic techniques mainly include the application of the artificial intelligence approaches such as genetic algorithm, particle swarmoptimization algorithm, ant colony optimization, stochastic diffusion search, differential evolution, etc. The main aspect of these techniques is theirflexibility for solving the optimization problems that have different mathematical constraints. In a power system area, the competition between theelectric utilities is gradually increased due to the deregulation of the electrical markets. For this reason, the generation expansion problem presentsitself as an important issue that needs to be considered in order to achieve reasonable economic decisions.Keywords: Genetic algorithm, Particle swarm optimization, Artificial intelligence