Amogh Doddagadduvalli Prasanna
Graduate researcher, University of Maryland, College Park · amoghdp@umd.edu · GitHub · LinkedIn
Updated October 2026
Education
University of Maryland, College ParkAug 2025 – May 2027
Masters in Computer Science Equivalent, GPA 3.9/4.0. College Park, MD.
Visvesvaraya Technological UniversityJun 2019 – July 2023
Bachelors in Computer Science and Engineering. India.
Research experience
University of Maryland, College ParkJan 2026 – present
Graduate Research Assistant, advised by Dr. Shabnam Jabeen
- Machine learning for qudit unitary decomposition, advised by Dr. Tanay Roy (SQMS, Fermilab): compiling arbitrary SU(d) unitaries into high-fidelity sequences of native gates on superconducting transmon qudits, with leakage and anharmonicity in the training objective.
- Quantum generative modeling: a quantum circuit Born machine in JAX for hadron momentum distributions from Pythia 8, reaching KL divergence below 0.14 under FakeBrisbane noise with zero-noise extrapolation and dynamical decoupling.
- A hardware-efficient ansatz reaching a transverse-momentum KS score of about 0.075 with only 32 native ECR gates under FakeBrisbane noise.
- Circuit-depth and entanglement ablations comparing trainable RXX and fixed CX gates.
Open-source decoding toolkitJun 2026 – present
Contributor
- Algorithm frameworks in Python and C++ for simulating and decoding topological codes; pull request review and benchmark analysis.
Publications
Quantum machine learning for hadronization (working title).
in preparation
Graduate coursework
- CMSC657 Quantum Information Processing (Andrew Childs)
- CMSC858G Quantum Error Correction and Fault Tolerance (Daniel Gottesman)
- CMSC858L Quantum Complexity (Daniel Gottesman, Fall 2026, in progress)
Summer Schools
- IBM Qiskit Global Summer School, 2026
- RQS Summer School - UMD, College Park, 2026
Industry
Mercedes-Benz Research and Development IndiaMar 2023 – Aug 2025
Software Engineer, Bengaluru
- Production C++ and Python in an agile team; a 10x cut in data processing time from better data structures and object-oriented design.
- Built and maintained a cloud-hosted API gateway on AWS in front of SQL and NoSQL backends for release operations.
- Low-level libcurl DLL work, and eSign software handling secure classification and storage of release data.
Skills
- Quantum computing
- Qiskit, Qiskit Aer, IBM Quantum noise models, variational algorithms, quantum circuit Born machines, error mitigation
- Machine learning
- JAX (JIT, autodiff), PyTorch, generative modeling, SPSA and gradient-based optimization, KL and KS benchmarking
- Scientific computing
- NumPy, SciPy, Pythia 8, numerical methods, linear algebra
- Programming
- Python, C++, TypeScript, Go, SQL, Bash, Git, Linux
Awards
- Winner, TechPilot Hackathon (YC × Cactus), 2026
- Runner-up, GenAI Hackathon, Mercedes-Benz R&D India