PRASHANT

About

Prashant Verma is a scientist specializing in quantum computing with a strong background in high-performance computing (HPC), IT asset coordination, and cybersecurity. Prashant Verma works on quantum algorithms, machine learning applications in quantum computing, and system optimization in quantum environments. With expertise in Qiskit and extensive experience managing IT infrastructures, Prashant Verma integrates quantum technologies with secure and scalable computing solutions. Their research focuses on advancing computational capabilities through quantum methodologies while ensuring robust cybersecurity measures.

Employment

• Scientific Analysis Group Scientist F
  2009 - Present
• Perot Systems Sr. Software Engineer
  2007 - 2009

Education

• Delhi Technological University Doctor of Philosophy
  2024 - Present
• Delhi Technological University Master of Technology
  2018 - 2020
• Harcourt Butler Technical University Bachelor of Technology
  2003 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Enhancing quantum classification with custom feature maps in variational quantum classifiers
  Prashant Verma, Dinesh Kumar Vishwakarma
  Applied Soft Computing 2026 DOI: 10.1016/j.asoc.2026.116164
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• Hybrid Quantum-Classical k-NN Model for Improved Accuracy
  Defence Science Journal 2026 DOI: 10.14429/dsj.21511
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• Design and implementation of generalized modular exponentiation function for Shor's algorithm
  The Journal of Supercomputing 2025 DOI: 10.1007/s11227-025-07845-z
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• A Study on Optimization of Sparse and Dense Linear System Solver Over GF(2) on GPUs
  Innovations in Computer Science and Engineering 2021
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• Depression Detection Among Social Media Users Using Machine Learning
  International Conference on Innovative Computing and Communications 2021
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• GPU-Accelerated Optimization Of Block Lanczos Solver For Sparse Linear System
  International Journal of Scientific & Technology Research 2020
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• Highly Scalable Block Cipher Encryption in MapReduce-Based Distribution System
  Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019), NITTTR Chandigarh, India 2020
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• GPU-Accelerated Scalable Solver for Large Linear Systems over Finite Fields
  2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) 2018 DOI: 10.1109/pdgc.2018.8745743
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