Solving optimization tasks using variational quantum algorithms has emerged as a crucial application of the current noisy intermediate-scale quantum devices. However, these algorithms face several difficulties like finding suitable ansatz and appropriate initial parameters, among others. In this work, we tackle the problem of finding suitable initial parameters for variational optimization by employing a meta-learning technique using recurrent neural networks. We investigate this technique with the recently proposed digitized-counterdiabatic quantum approximate optimization algorithm (DC-QAOA) that utilizes counterdiabatic protocols to improve the state-of-the-art QAOA. The combination of meta learning and DC-QAOA enables us to find optimal initial parameters for different models, such as MaxCut problem and the Sherrington-Kirkpatrick model. Decreasing the number of iterations of optimization as well as enhancing the performance, our protocol designs short depth circuit ansatz with optimal initial parameters by incorporating shortcuts-to-adiabaticity principles into machine learning methods for the near-term devices.
One tenet of successful orthodontic therapy is to complete treatment without repeated bond failure and decalcification. Fluoride application reduces demineralisation of enamel. Use of glass ionomers for orthodontic bonding has long been a topic of debate. The purpose of this study was to compare the bond strengths of Resin Modified Glass Ionomer Cement and Composite resins after Fluoride application.40 human premolars were immersed in 1.23% APF gel for 4 min.s . 1 st group was bonded using Light cure Composite resin (Amber -Jaipur Orthodontics) and 2 nd group using Resin modified glass ionomer cement (GC Fuji Ortho TM ). The Universal Testing Machine has been the age old standard for bond strength measurement. However its unavailability and cost incurred in getting samples tested is a major hindrance in research activities on this front, particularly for the Post Graduate students where majority of thesis are based on Bond strength measurements. Keeping this in mind, a Bond strength measuring machine was indigenously developed and Bond strength was tested on it. Students 't' test showed significantly higher bond strength of composite as compared to resin modified glass ionomer. After fluoride application resin modified glass ionomer cement showed reduced bond strength then composite resin. The device described here can be a cheaper alternative for institutional setups.
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