Using Variational Eigensolvers on Low-End Hardware to Find the Ground State Energy of Simple Molecules

Key properties of physical systems can be described by the eigenvalues of matrices that represent the system. Computational algorithms that determine the eigenvalues of these matrices exist, but they generally suffer from a loss of performance as the matrix grows in size. This process can be expanded to quantum computation to find the eigenvalues with better performance than the classical algorithms. One application of such an eigenvalue solver is to determine energy levels of a molecule given a matrix representation of its Hamiltonian using the variational principle. Using a variational quantum eigensolver, we determine the ground state energies of different molecules. We focus on the choice of optimization strategy for a Qiskit simulator on low-end hardware. The benefits of several different optimizers were weighed in terms of accuracy in comparison to an analytic classical solution as well as code efficiency

Finding Optimal Training Parameters for Quantum Generative Adversarial Networks

Some of the most impressive achievements of contemporary Machine Learning systems comes from the GAN (Generative Adversarial Network) structure. DALLE-2 and GPT- 3, two of the most impressive and recognizable feats of ML in recent years, were both trained using adversarial techniques. The world of Quantum Computing is already well aware of the value of such techniques on near-term Quantum Hardware: QGANs provide a highly efficient method for loading classical data into a quantum state. We investigate the performance of these techniques in an attempt to determine some of the optimal training parameters in a Qiskit-style Parameterized Circuit QGAN framework

Characteristics of non-fatal self-poisoning in Sri Lanka: A systematic review

Background The rate of non-fatal self-poisoning in Sri Lanka has increased in recent years, with associated morbidity and economic cost to the country. This review examines the published literature for the characteristics and factors associated with non-fatal self-poisoning in Sri Lanka. Methods Electronic searches were conducted in Psychinfo, Proquest, Medline and Cochrane databases from inception to October 2011. Results 26 publications (representing 23 studies) were eligible to be included in the review. A majority of studies reported non-fatal self-poisoning to be more common among males, with a peak age range of 10–30 years. Pesticide ingestion was the most commonly used method of non-fatal self-poisoning. However three studies conducted within the last ten years, in urban areas of the country, reported non-fatal self-poisoning by medicinal overdose to be more common, and also reported non-fatal self-poisoning to be more common among females. Interpersonal conflict was the most commonly reported short-term stressor associated with self-poisoning. Alcohol misuse was reported among males who self-poisoned, and data regarding other psychiatric morbidity was limited. Conclusions The findings indicate that pesticide ingestion is the commonest method of non-fatal self-poisoning in Sri Lanka, and it is more common among young males, similar to other Asian countries. However there appears to be an emerging pattern of increasing medicinal overdoses, paralleled by a gender shift towards increased female non-fatal self-poisoning in urban areas. Many non-fatal self-poisoning attempts appear to occur in the context of acute interpersonal stress, with short premeditation, and associated with alcohol misuse in males. Similar to other Asian countries, strategies to reduce non-fatal self-poisoning in Sri Lanka require integrated intervention programs with several key aspects, including culturally appropriate interventions to develop interpersonal skills in young people, community based programs to reduce alcohol misuse, and screening for and specific management of those at high risk of repetition following an attempt of self-poisoning

Employee Satisfaction of Academics in Sri Lanka: A Logistic Regression Approach

This study has mainly focused on the use of multinomial logistic regression in predicting employee satisfaction of the academics in Sri Lankan universities A questionnaire was used to gather data from acdemics and it is prepared to collect demographic data and eight main factors Demographic factors were analyzed with multinomial logistic regression and it resulted in three elements namely sector salary and gender Before examining the main factors in the questionnaire a reliability analysis was done Factors were analyzed with multinomial logistic regression and resulted in different models and the best model out of all is presented in this paper By comparing the models with R-squared values goodness-of-fit statistics and residuals the best model was obtained This study revealed thatfitting of the abilities and knowledge with the job ability to use the full potential in work superior behavior and freedom are significant factors in predicting employee satisfaction of academics in Sri Lankan universitie

Competitors’ stock price reactions in response to private equity placements: evidence from a transitional economy

This paper examines whether information conveyed by private equity placement decisions transfers to non-applying companies within the same industry. In particular, it investigates the impact of a company’s announcements of the application for, withdrawal, rejection, approval and completion of private equity placement, while examining the cross-sectional differences of the market performance of their industry counterparts, both in the short- and long-term. It was found that an intra-industry reaction exists; competitors experience a decrease in stock prices in response to the announcement of the application for, approval and completion of private equity placement and an increase in stock prices around the announcement of the withdrawal or rejection of applications. Further, it was found that competitors experience a decrease in their long-term stock performance following private placements. A higher discount on private equity placement is detrimental for private equity (P.E.) issuing companies in the long-term. This study, therefore, provides evidence of the existence of a contagion effect in the long-term while a competitive effect dominates in the short-term