Vandna Chaturvedi

Research Engineer

C-DAC, Hyderabad·Quantum Computing & Embedded Systems — an R&D body by MeitY, Government of India

• Quantum simulator optimization (GPU acceleration): profiled and optimized the density-matrix simulator using NVIDIA NVTX and CuPy (hybrid NumPy–CuPy pipeline), converting 4+ core functions (decoherence, measure, unitary) to GPU-accelerated operations; benchmarked QFT, RCA, and BV algorithms with verified matrix correctness up to 22-qubit systems.
• Simulator benchmarking (noise-free & noisy): benchmarked QFT (5–32 qubits) across Qiskit-Aer, Cirq, QuEST, and a real IBM QPU on Param Shavak HPC, under noise models (depolarization, amplitude/phase damping); evaluated SupermarQ and MQT Bench across 25 algorithms and multiple backends.
• Hybrid quantum–classical portfolio optimization (VQE): implemented Portfolio VQE (CVaR, DRO, adaptive ansatz, CMA-ES) benchmarked against classical Markowitz optimization on real-world datasets (Yahoo Finance, S&P 500, Mendeley); computed Hellinger fidelity for 9 MQT benchmark algorithms; co-authored a research paper on DM simulator benchmarking.
• Outreach & course coordination: co-coordinated two national quantum computing training programs — 2023 (2.5K+ participants) and 2025 (27K+ participants) — and a hackathon, handling registrations, webinar logistics, evaluations, and certificate distribution end-to-end.

Research Assistant

Center of Visual Information Technology (CVIT), IIIT-Hyderabad·Mentor: Prof. C V Jawahar

Built an end-to-end, user-friendly Audio-Book creation application for Indian languages, converting scanned documents into DAISY-standard Digital Talking Books with minimal human intervention. Deployed on the live portal bhaasha.iiit.ac.in/audiobook.

ML Consultant

Telebu Telecommunications, Hyderabad

Built a VoiceBot using the RASA-X framework: a customised, question-answering (MCQ-type) chatbot with text-to-speech for Arabic dialects, for ticket booking on an online ticketing website in Qatar.

Research Intern

Language Technology Research Center, IIIT-Hyderabad

Improved Tense, Aspect, Modality (TAM) mapping for English-to-Hindi translation in the Anusaaraka MT system, and resolved ambiguous-word sense disambiguation, a major bottleneck in the system's layered output.

Assistant Professor

GNITM, Dr APJ Abdul Kalam Technical University, Lucknow, UP

Evaluated, monitored, and mentored students' academic progress and semester projects; developed and implemented instructional methods and professional logistics to improve student performance.

Master of Technology, Computer Science

Banasthali University, Jaipur, India

Major project in collaboration with the Anusaaraka Lab, LTRC, IIIT-Hyderabad. Graduated with First Division.

Bachelor of Technology, Computer Science & Engineering

Dr APJ Abdul Kalam Technical University (formerly UPTU), Lucknow, UP, India

Graduated with First Division.

Optimising & benchmarking a density-matrix simulator for higher-order qubits

C-DAC, Hyderabad

Design and development of quantum simulators and test frameworks/software interfaces and integration; development and optimization of the QC simulator and algorithms, a POC application, and involvement in related training, documentation, and standard benchmarking of quantum systems/simulators.

An application to create Audio-Books for Indian Languages

CVIT, IIIT-Hyderabad

An avant-garde system creating Audio Books from scanned documents with very little human intervention, compared to classical DAISY-supported Audio-Book creation systems. Deployed on bhaasha.iiit.ac.in/audiobook.

Improving Tense, Aspect, Modality (TAM) Mapping in Anusaaraka

LTRC, IIIT-Hyderabad

Implementation of a patch related to TAM detection and correction to disambiguate Tense-Aspect-Modality in English–Hindi machine translation.