Ms. Shikha Mehrotra

With a robust background in software development, grid computing, cloud computing, and quantum computing, Shikha brings a wealth of expertise to her role. Currently she leads the Quantum Business, Outreach and Collaboration (QBC) team. 

• M.S (Software System) from BITS Pilani.
• B.Tech (Information Technology) from U. P. Technical University.

System Software Stack for Quantum Processors and Quantum Accelerator

A functional Quantum Computing (QC) ecosystem requires extensive software components. The software ecosystem is fundamental to QC systems design. Quantum Accelerators are emerging speedup enablers as a specialized module incorporated with Cluster-based Supercomputing architectures. The work involves the development of Quantum Compilers that can be coupled with simulation tools and resource estimators like qubit estimators.

Quantum Computing Simulator Toolkit (QSim)

The Quantum Computing Simulator Toolkit, jointly developed by C-DAC, IISc, and IIT-R with support from the Ministry of Electronics & Information Technology (MeitY), Government of India, offers a simulation framework known as QSim. This toolkit enables researchers and students to write and debug Quantum Code, crucial for the development of Quantum Algorithms. QSim facilitates the exploration of Quantum Algorithms in idealized conditions, aiding in the preparation of experiments for eventual execution on real Quantum Hardware. www.qctoolkit.in

Quantum Network Simulator

The Quantum Network Simulator has been developed at C-DAC Bangalore, with funding from the Ministry of Electronics & Information Technology (MeitY), Govt. of India. This tool provides a simulation framework that can be used for modeling quantum networks and studying the performance of different quantum network protocols, topologies, and configurations.

Cloud Vulnerability Scanner

Security in Cloud computing has assumed utmost importance in determining the proliferation of this new business model of computing. While privacy and information security risks have been addressed and are well-known, the paradigm may bring other long-term risks that are neither widely recognized nor addressed. Owing to the fine-grained hardware resource multiplexing that forms the base of any Cloud computing stack, a series of attacks that are not intuitive surface in the realm of doing business with Cloud Computing. The project work involves the analysis of some of the attacks that impede the functioning of the critical layers of the Cloud computing stack – namely the Virtualization and the Hypervisor technologies.

Development of Megha Cloud Infrastructure with grid to cloud interfaces

The Megha Cloud infrastructure project focused on developing seamless integration between grid and cloud computing interfaces. Its goal was to revolutionize data storage, processing, and accessibility by leveraging the scalability of cloud technology and the distributed computing power of grids. The project aimed to streamline workflows, improve resource utilization, and accelerate scientific and technological advancements across diverse domains.

Service Oriented Architecture for Garuda

The goal of this activity was to design and implement a Service-oriented framework for the Garuda grid. An exhaustive exploration was carried out to realize this, which involved detailed market surveys and studies on various components of the grid infrastructure. As a deliverable of the project, a service-oriented architecture framework was proposed and implemented, comprising the right mix of open-source, proprietary, and in-house developed components.

Tool Development for Grid Computing

The MOAB scheduler, implemented within the GARUDA Grid, stands as a pivotal component in optimizing resource allocation and workload management across the distributed computing infrastructure. Renowned for its robustness and scalability, MOAB played a crucial role in orchestrating the execution of diverse computational tasks within the GARUDA Grid environment.

1. Mehrotra, Shikha, Shamjith, K. V., Pandey, P., Asvija, B., & Sridharan, R. (2013, September). . In High Performance Extreme Computing Conference (HPEC), 2013 IEEE (pp. 1-8). IEEE ( https://ieeexplore.ieee.org/document/6670322 ).
2. Pandey, P., K. V. Shamjith, Shikha Mehrotra, B. Asvija, and R. Sridharan. “An ingenious approach for improving turnaround time of grid jobs with resource assurance and allocation mechanism.” High Performance Extreme Computing (2012) (http://ieee-hpec.org/2012/index_htm_files/Pandey.pdf ) .