Parmeet Singh Email & Phone Number
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Parmeet Singh is listed as Graduate Researcher - Deep Learning in Agent Based Models at Indian Institute of Technology, Delhi, a company with 7195 employees, based in New Delhi, Delhi, India. AeroLeads shows a matched LinkedIn profile for Parmeet Singh.
Parmeet Singh previously worked as Graduate Researcher - Quantum Bernoulli Factories at Indian Institute Of Technology, Delhi and Qiskit Advocate at Ibm. Parmeet Singh holds Master Of Science - Msc, Physics from Indian Institute Of Technology, Delhi.
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About Parmeet Singh
I am a Quantum Computing and Machine Learning researcher with a focus on Quantum Machine Learning (QML) and its applications on NISQ devices. As a graduate student at IIT Delhi, my current research centers around Quantum Bernoulli Factories and utilization of Deep Learning in Agent Based Simulation for infectious diseases. During my time as a QML Engineer Intern at BosonQ Psi, I led the development of quantum-enhanced machine learning algorithms for quality control, integrating both classical and quantum methods with hands-on expertise in TensorFlow, PennyLane, and Qiskit. I have also contributed as a research intern under renowned professors, working on Quantum Boosting algorithms and Density Functional Theory (DFT). As a Qiskit Advocate, I’ve mentored participants in global quantum challenges and delivered talks on advanced quantum algorithms and AI. My interest in Computational Material Science drives me to explore novel materials using DFT and other computational techniques, with a focus on quantum applications. I am passionate about advancing the frontiers of AI and quantum computing to tackle complex, real-world challenges.
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Parmeet Singh work experience
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Graduate Researcher - Deep Learning In Agent Based Models
Leveraging Deep Learning models to minimize the computational burden of agent-based models for infectious disease propagation
Graduate Researcher - Quantum Bernoulli Factories
Investigating quantum advantage in Bernoulli factories by characterizing achievable probability distributions and developing algorithms for their generation.
Qiskit Advocate
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.
Quantum Computing Intern
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.
Research Intern
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
Research Intern @ Braqiiit Lab
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.
Research Assistant
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.
Mentor | Physics
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.
Parmeet Singh education
Master Of Science - Msc, Physics
Bachelor Of Technology - Btech, Engineering Physics/Applied Physics
Certificate Of Quantum Excellence, Quantum Computing
Qubitxqubit, Quantum Computing
Frequently asked questions about Parmeet Singh
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What company does Parmeet Singh work for?
Parmeet Singh works for Indian Institute of Technology, Delhi.
What is Parmeet Singh's role at Indian Institute of Technology, Delhi?
Parmeet Singh is listed as Graduate Researcher - Deep Learning in Agent Based Models at Indian Institute of Technology, Delhi.
Where is Parmeet Singh based?
Parmeet Singh is based in New Delhi, Delhi, India while working with Indian Institute of Technology, Delhi.
What companies has Parmeet Singh worked for?
Parmeet Singh has worked for Indian Institute Of Technology, Delhi, Ibm, Bosonq Psi (Bqp), Delhi Technological University (Formerly Dce), and Indraprastha Institute Of Information Technology, Delhi.
How can I contact Parmeet Singh?
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What schools did Parmeet Singh attend?
Parmeet Singh holds Master Of Science - Msc, Physics from Indian Institute Of Technology, Delhi.
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