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Dr. Vaishali

Assistant Professor, School of Artificial Intelligence, Faridabad

Qualification: Ph.D., M.Sc., B.Sc
vaishali@dl.amrita.edu
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Research Interest: Artificial Intelligence and Machine Learning, Quantum Computing and Quantum Information, AI/ML for Scientific and Quantum Applications, Quantum Data Analysis and Quantum State Characterization, Computational Methods for Complex Systems

Bio

Dr. Vaishali is an Assistant Professor in the School of Artificial Intelligence at Amrita Vishwa Vidyapeetham, Faridabad Campus. She holds a Ph.D. in Physics (Quantum Computing) from the Indian Institute of Science Education and Research (IISER), Mohali. Her research interests lie at the intersection of Artificial Intelligence, Machine Learning, Quantum Computing, and computational approaches to complex scientific problems. Her work has focused on quantum information processing, quantum correlations, quantum entanglement, and the application of machine learning techniques to quantum-state characterization and analysis. She is also interested in interdisciplinary applications of AI and computational methods across science and technology.

Publications

Journal Article

Year : 2025

Entanglement classification of arbitrary three-qubit states via artificial neural networks

Cite this Research Publication : Jorawar Singh, Vaishali Gulati, Kavita Dorai, Arvind, Entanglement classification of arbitrary three-qubit states via artificial neural networks, Physical Review Applied, American Physical Society (APS), 2025, https://doi.org/10.1103/xfks-snj1

Publisher : American Physical Society (APS)

Year : 2025

ANN-enhanced detection of multipartite entanglement in a three-qubit NMR quantum processor

Cite this Research Publication : Vaishali Gulati, Shivanshu Siyanwal, Arvind, Kavita Dorai, ANN-enhanced detection of multipartite entanglement in a three-qubit NMR quantum processor, Quantum Information Processing, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s11128-025-04696-8

Publisher : Springer Science and Business Media LLC

Year : 2025

Experimental determination of tripartite quantum discord

Cite this Research Publication : Vaishali Gulati, Shaileyee Bhowmick, Tim Byrnes, Chandrashekar Radhakrishnan, Kavita Dorai, Experimental determination of tripartite quantum discord, Proceedings of the National Academy of Sciences, National Academy of Sciences, 2025, https://doi.org/10.1073/pnas.2507467122

Publisher : National Academy of Sciences

Year : 2024

Using linear and nonlinear entanglement witnesses to generate and detect bound entangled states on an IBM quantum processor

Cite this Research Publication : Gulati, V., Singh, G., & Dorai, K. (2024). Generation and detection of GHZ diagonal states using linear and nonlinear entanglement witnesses on IBM quantum processor. Physics Scripta, 99, 115122.

Year : 2024

Experimental realization of quantum non-Markovianity through the convex mixing of Pauli semigroups on an NMR quantum processor

Cite this Research Publication : Vaishali Gulati, Vinayak Jagadish, R. Srikanth, Kavita Dorai, Experimental realization of quantum non-Markovianity through the convex mixing of Pauli semigroups on an NMR quantum processor, Physical Review A, American Physical Society (APS), 2024, https://doi.org/10.1103/physreva.109.042419

Publisher : American Physical Society (APS)

Year : 2022

Experimental construction of a symmetric three-qubit entangled state and its utility in testing the violation of a Bell inequality on an NMR quantum simulator

Cite this Research Publication : Dileep Singh, Vaishali Gulati, Arvind, Kavita Dorai, Experimental construction of a symmetric three-qubit entangled state and its utility in testing the violation of a Bell inequality on an NMR quantum simulator, Europhysics Letters, IOP Publishing, 2022, https://doi.org/10.1209/0295-5075/acab7e

Publisher : IOP Publishing

Year : 2022

Classification and measurement of multipartite entanglement by reconstruction of correlation tensors on an NMR quantum processor

Cite this Research Publication : Vaishali Gulati, Arvind, Kavita Dorai, Classification and measurement of multipartite entanglement by reconstruction of correlation tensors on an NMR quantum processor, The European Physical Journal D, Springer Science and Business Media LLC, 2022, https://doi.org/10.1140/epjd/s10053-022-00527-y

Publisher : Springer Science and Business Media LLC

Year : 2020

Experimental detection of non-local correlations using a local measurement-based hierarchy on an NMR quantum processor

Cite this Research Publication : Amandeep Singh, Dileep Singh, Vaishali Gulati, Kavita Dorai, Arvind, Experimental detection of non-local correlations using a local measurement-based hierarchy on an NMR quantum processor, The European Physical Journal D, Springer Science and Business Media LLC, 2020, https://doi.org/10.1140/epjd/e2020-10173-9

Publisher : Springer Science and Business Media LLC

FDP
  • One Week International Faculty Development Programme on Artificial Intelligence: A Multidisciplinary Perspective, 19–23 January 2026, Galgotias University.
  • Workshop on Emerging Trends on Optoelectronics Material and Photonics Technologies (ETOMPT), 20–24 April 2026, Galgotias University.
Awards
  • Travel Fellowship – Quantum Communication, Measurement and Computing (QCMC 2024), Chennai
  • Travel Fellowship – Quantum Information Processing (QIP 2024), Taiwan
  • JEST Physics – All India Rank 81 (2018)
  • GATE Physics – AIR 269 (2017)
Conferences
  • International Conference on Quantum Computing and Communications (QCC 2023), Bathinda: Experimental Generation, Classification and Quantification of Entanglement.
  • QIP 2024, Taiwan: Quantum Non-Markovianity via Convex Mixing of Pauli Semigroups on an NMR Quantum Processor.
  • YouQu 2023, Harish-Chandra Research Institute: Classification and Measurement of Multipartite Entanglement via Correlation Tensors.
  • QFTA 2019, IISER Mohali Experimental Detection of Non-local Correlations using Local Measurement-Based Hierarchy.
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