Charu Jain Email & Phone Number

1. Developed control and simulation software, as well as hardware function modules, seamlessly integrating them with firmware in trapped-ion based quantum systems.2. Implemented and compiled quantum algorithms, including Deutsch-Josza, Quantum Phase Estimation (QPE), and Grover’s algorithm, for utilization in a distributed system, marking a pioneering achievement in distributed quantum computing.3. Developed error correction techniques, including a fault-tolerant polarization stability control algorithm tailored for the ARTIQ-based multi-qubit system, validated on a real-time distributed system. 4. Executed algorithm integration between the control plane, simulation framework, and RESTful API, enhancing system functionality.5. Designed artificial intelligence-based optimization and compilation techniques for polarization control algorithms.

Taught and graded courses EE-510: Linear Algebra for Engineering, EE-141L: Applied Linear Algebra for Engineering and EE-562: Random Processes in Engineering

1. Analyzed experimental errors in quantum computing and partnered with IBM to devise fault-tolerant methods and mitigation strategies employing synthetic error channels, resulting in a 30% decrease in errors.2. Formulated quantum Monte-Carlo dropout for uncertainty in quantum convolutional neural networks. 3. Devised Soft-Dropout method to mitigate overfitting in quantum convolutional neural networks, improving generalization and accuracy by over 20%.

1. Led computation of best cluster size for a wireless network with multiple User Equipments (UEs). 2. Selected UEs with optimum features as UE-Virtual Base Stations (UE-VBSs) enabling device to device (D2D) communication to deal with nonstationary and non-uniform mobile traffic distribution, with respect to space and time domain.

Edmonton, Alberta, Canada

Developed and simulated an algorithm for wireless routing, inclusive of various fault modes of wireless sensors in OMNeT. Increased autonomy and robustness of highly dynamic energy harvesting sensor networks by 60%.

Chennai, Tamil Nadu, India

1. Analyzed the SherLock dataset, which encompasses 10 billion sensor records from 50 users, to detect botnet malware activities through exploratory data analysis and visualization, contributing to big data-based cybersecurity research.2. Applied data wrangling and exploratory data analysis to design a two-stage predictive machine learning framework speculating on-time performance of flights factoring weather data in the US, improving flight scheduling by 95%.

1. Conceptualized amalgamation of quantum, acoustic, electromagnetic, magnetic induction and optical fiber communication to construct a hybrid underwater vehicle. 2. Developed channel models for 5 communication modes, performed mathematical modelling (DFM) and simulated channel models to find optimum frequencies of each mode.

Master Of Science - Ms, Electrical Engineering: Quantum Information Sciences

Bachelor Of Engineering - Be, Electrical, Electronic And Communications Engineering, 9.2

Activities and Societies: Dancer, SSN ECE Tech Club member, SSN Lakshya, Entrepreneurship Club Member