Parmeet Singh Email & Phone Number

New Delhi, Dl, In

New Delhi, Dl, In

Leveraging Deep Learning models to minimize the computational burden of agent-based models for infectious disease propagation

Investigating quantum advantage in Bernoulli factories by characterizing achievable probability distributions and developing algorithms for their generation.

Mentored for IBM Quantum Challenge Africa, contributed to Qiskit backend on GitHub, created tutorials, delivered a talk on QML algorithms during Qiskit Fall Fest at Bennett UniversityProjects:1. Euler-Rodrigues Parameters: A Quantum Circuit to calculate Rigid-Body Rotations - Developed a generalized algorithm for creating a Quantum Circuit which implements the Euler Rodrigues Rotation matrix to rotate vectors encoded as a single qubit quantum state with fidelity ranging between 0.97 to 1. Also employed Quantum parallelism to rotate multiple vectors simultaneously.2. Implement A Hybrid Quantum Classical Neural Network With Qiskit - Built Tutorial for Hybrid Quantum Classical Neural Networks for the prediction of energy levels of Hydrogen molecules. Guide: Dr. Daniel Sierra Sosa

Led the development of quantum image classification algorithms for quality control. Created quantum convolutional layers, which improved performance compared to classical analogs. Deployed Quantum Convolutional Neural Networks (QCNNs) using PennyLane and TensorFlow, integrating transfer learning to enhance their effectiveness. Additionally, I played a role in developing client pitches, which led to long-term engagements by demonstrating the potential for operational efficiency improvements through quantum solutions.

Analyzing Vacancy ordered double perovskite Cs2SnI6 under high pressure(0 to 20 GPa) using first principle calculations in VASP. Primarily focusing on optimizing the optoelectronic properties for applications in Photovoltaic devices.Published in AIP conference proceedings

Project: Quantum Boosting using domain partitioning hypothesis Proposed a new Quantum Boosting algorithm, QRealBoost which boosts weak PAC learners. QRealBoost provides a quadratic speedup over AdaBoost and further achieves a polynomial speedup over QAdaBoost in terms of both the bias of the learner and the time taken by the learner to learn the target concept class.Designed the first-ever implementation of quantum boosting algorithms QRealBoost and QAdaBoost. Experiments conducted on real-life data sets using QISKIT showed up to 30% accuracy improvement over classical counterpartsResearch fndings were presented at QTC'21 and QTML'22 (Italy), with the paper published in QMI, SpringerGuide: Dr. Debajyoti Bera

Projects:1. Rubidium-based mixed Halide Double Perovskites for Photovoltaics - Engineered Rb-based mixed Perovskites by doping of Halide Ions(Cl,Br,I) for photovoltaics, tuning bandgaps among other photovoltaic properties. Achieved near-ideal bandgaps of 1.345 eV and 1.312 eV, closely matching the Shockley-Queisser limit, with low carrier effective masses.Poster won Best Poster award at ISMC-20222. Investigating Trivalent doping of Sb in Cs4CuSb2Cl12 for optoelectronic applications - Hypothesized new materials and explored properties using Ab-inito molecular packages. (On Hold)Guides: Dr. Shyam Kishor, Dr. Michael Odelius and Dr. Kalpna Jain.

Worked as a Physics Subject Matter Expert at Chegg wherein my key role was to analyze and solve problems pertaining to the fields of Electrodynamics, Mechanics, Fluid Flow, Semi-Conductors and General Physics.

Master Of Science - Msc, Physics

Bachelor Of Technology - Btech, Engineering Physics/Applied Physics

Certificate Of Quantum Excellence, Quantum Computing

Qubitxqubit, Quantum Computing