H. Singh, S. Majumder, and S. Mishra, “Blockwise Optimization for Projective Variational Quantum Dynamics (BLOP-VQD): Algorithm and Implementation for Lattice Systems,” arXiv:2503.18279 [quant-ph]
H. Singh, S. Majumder, and S. Mishra, “SHARC-VQE: Simplified Hamiltonian Approach with Refinement and Correction enabled Variational Quantum Eigensolver for Molecular Simulation,” arXiv.org, Jul. 17, 2024. https://arxiv.org/abs/2407.12305.
H. Singh, S. Majumder, S. Mishra; Hückel molecular orbital theory on a quantum computer: A scalable system-agnostic variational implementation with compact encoding. J. Chem. Phys. 21 May 2024; 160 (19): 194106. https://doi.org/10.1063/5.0210597
I-Chi. Chen, H. Singh, V. L. Anukruti, B. Quanz, and Kavitha Yogaraj, “A Survey of Classical and Quantum Sequence Models,” Jan. 2024 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), doi: https://doi.org/10.1109/comsnets59351.2024.10426944.
H. Singh, S. Mishra and S. Majumder, "On the Study of Partial Qubit Hamiltonian for Efficient Molecular Simulation Using Variational Quantum Eigensolvers," 2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS), KOTTAYAM, India, 2023, pp. 1-6, doi: 10.1109/iQ-CCHESS56596.2023.10391502.
H. Singh, S. Majumder, and S. Mishra, “Benchmarking of different optimizers in the variational quantum algorithms for applications in quantum chemistry,” The Journal of Chemical Physics, vol. 159, no. 4, Jul. 2023, doi: https://doi.org/10.1063/5.0161057
H. Singh, S. Mishra, and S. Majumder, "Extracting Information from Partial Hamiltonian of Simple Molecules for Designing Efficient Variational Quantum Eigensolvers," in Optica Quantum 2.0 Conference and Exhibition, Technical Digest Series (Optica Publishing Group, 2023), paper QTu3A.18.
H. Singh, "Analytic Quantum Gradient Descent in Quantum Chemistry Simulations," in Quantum 2.0 Conference and Exhibition, Technical Digest Series (Optica Publishing Group, 2022), paper QW2A.4.
Project: "Quantum Machine Learning for Large Datasets"
QIntern Program, Imperial College London, July-August, 2023
Project: "Hybrid Algorithm to Explore Properties of GPT in Quantum Transformer Models"
Qiskit Advocate Mentorship Program (QAMP), April-July, 2023
Internship: "Tensor Networks in Quantum-Inspired and Quantum Machine Learning"
Tata Consultancy Services, February 2022 - April 2022
4. Project: "Random Number Generator using a Variational Quantum Circuit"
First Prize, Qiskit Fall Fest Hackathon Ahmadabad University Campaign, 13-17 October 2021
Poster Presentation: "SHARC-VQE: Simplified Hamiltonian Approach with Refinement and Correction Enabled Variational Quantum Eigensolver for Molecular Simulation", Quantum Simulation (QSim) Conference, University of Rhodes Island, US, 12-16 September 2024.
Poster Presentation: "Hückel molecular orbital theory on a quantum computer: A scalable system-agnostic variational implementation with compact encoding", Quantum Australia, Sydney, Australia, 20-22 February 2024.
Poster Presentation: "Hybrid Classical-Quantum Algorithms for Applications in Quantum Chemistry", Theoretical Chemistry Symposium (TCS) 2023, IIT Madras, India, 07-10 December 2023. [ACS Best Poster Award]
Poster Presentation: "Extracting Information from Partial Hamiltonian of Simple Molecules for Designing Efficient Variational Quantum Eigensolvers", Quantum 2.0 Conference and Exhibition, Denver Colorado, US, 18-22 June 2023.
Poster Presentation: "Benchmarking of Different Optimizers in the Variational Quantum Algorithms for Applications in Quantum Chemistry", Young Quantum 2023, Harish-Chandra Research Insititute (HRI), Allahabad, India, 14- 18 February 2023.
Paper Presentation: "Tensor Networks in Quantum-Inspired and Quantum Machine Learning", International Conference on Quantum Computing and Communications (QCC 2023), Baba Farid Group of Institutions, Punjab, India, 9-11 February 2023.
Paper Presentation: "Partial Hamiltonian Analysis of the Hydrogen Molecule for Designing Efficient Variational Quantum Eigensolvers.", International Conference on Quantum Computing and Communications (QCC 2023), Baba Farid Group of Institutions, Punjab, India, 9-11 February 2023.
Poster Presentation: "Benchmarking of Different Optimizers in the Variational Quantum Algorithms for Applications in Quantum Chemistry", Australian Institute of Physics (AIP) Congress, Adelaide, Australia, 11-16 December 2022.
Doctoral Symposium: "Tensor Networks-Assisted Quantum Computing for Applications in Machine Learning and Quantum Chemistry", Second International Conference on AI-ML Systems, Bangalore, India, 12- 15 October 2022
Poster Presentation: "Analytic Quantum Gradient Descent in Quantum Chemistry Simulations", Quantum 2.0 Conference and Exhibition, Encore Boston Harbor, Massachusets, US, 13-16 June 2022
Lightning Talk: "Building Your First Quantum Circuit", SciPy India Conference, IIT Bombay, 21-22 January 2022
Talk: "Variational Quantum Algorithms: An introduction and applications to quantum chemistry using Python", SciPy India Conference, IIT Bombay, 21-22 January 2022
Talk: "Introduction to Quantum Computation with Qiskit", PyCon Indonesia, 4-5 December 2021
Talk: "Introduction to Quantum Computing", Pyjamas Conference, 4-5 December 2021
Talk: "Random Number Generator using a Variational Quantum Circuit", PyCode Conference, 2-3 December 2021
Tutorial: "Quantum Computation and Qiskit", PyCode Conference, 2-3 December 2021
Meetup Seminar: "Quantum Computation using Python", Python Ireland Monthly Meetup, November, 10 November 2021