Hi, my name is Anantha. (pronounced : uh-nun-thɑː, Kannada: ಅನಂತ; meaning: infinity).

I am a Ph.D. candidate at UMD, College Park 🐢 and a Graduate Research fellow at the Joint center for Quantum Information and Computer Science (QuICS) ⚛️. I am fortunate to be advised by Prof. Michael Gullans. I also closely work with Prof. Justyna Zwolak at NIST. Previously, I received my BS-MS (Physics) from IISER Pune, India, working with Prof. M. S. Santhanam and the IBM-Quantum Research team.

Recent News & Updates

Featured in the News

Scaling Quantum-Dot-Qubit Systems

Nathaniel C. Bishop • April 30, 2025 • Physics Magazine (APS)

Machine learning automates the control of a large and highly connected array of semiconductor quantum dots. Features research that demonstrates software for automating standard parts of experiments on quantum-dot qubits—a step toward fully automated calibration of quantum processors.

Connecting the Quantum Dots

Emily Nunez • March 2025 • UMD Physics Department

Featured profile on Anantha's journey from India's tech hub to UMD's "Capital of Quantum." Highlights his MAViS project, entrepreneurial background with malaria detection AI, and research on semiconductor qubits that could power the next generation of quantum computers.

IISER Pune Team Wins Gold at iGEM 2020

Times of India • November 27, 2020 • Education News

A team of students from IISER Pune won the gold medal and the Jury's best project award at the iGEM 2020 competition for their project on synthetic biology. Their work focused on developing a novel method for detecting and combating Malaria and a complete AI-based disease diagnostics tool.

Research Interests

My research lies at the intersection of Quantum Information and Condensed Matter Physics. I study many-body quantum systems to understand their behavior and harness their non-classical properties for building useful, scalable quantum devices.

Current Research Focus

• Quantum Many-Body Systems with Feedback: Understanding and controlling complex quantum systems through feedback mechanisms.
• Semiconductor Quantum Dot Devices: Device theory, quantum information shuttling between processors, and experimental automation.
• Quantum Characterization, Verification & Validation (QCVV): Developing methods to validate quantum information processing devices.
• Machine Learning for Quantum Systems: Both quantum-enhanced classical ML and classical ML for quantum problems.
• Tensor Networks: Advanced numerical methods for quantum many-body systems.

As a theorist, I like to use and develop analytical, and numerical approaches to solve complex puzzles. My work spans formalism development, computational implementation, and experimental collaboration.

I share my interests, cool thoughts, and insights on various topics on this website. A lot of things that I gain from my research do not end up being part of the final research papers I write, but I would be very happy to talk to and learn from the research audience. I strongly believe in science being a collective and collaborative effort, and I look forward to discussing ideas.

If you are interested in my CV (updated July 2025) here it is!

Research Highlights

• MAViS: Accepted at Physical Review X (PhysRevX.15.021034), (Audio podcast)
• Conferences: Contributed talk at Silicon Quantum Electronics (SiQEW) 2024
• Open Source Contributions: Active contributor to Julia, iGEM, and ML4SCI organizations.
• Educational Outreach: Tutorial at Brown AI Winter School on ML for quantum systems (YouTube)
• Industry: Worked with IBM Quantum Research on quantum algorithms for generative machine learning

Technical Skills & Expertise

Selected Projects

Research & Development

• QeVAE (2022): A quantum-enhanced variational autoencoder for generative modeling
• QCompiler (2021): A quantum compiler that executes quantum circuits and gates
• QuantChaos (2021): Tutorials and code on the quantum kicked rotor

Applied ML & Biotech

• DelemaDetect (2020): Deep learning for malaria detection in blood smears
• PacMal (2020): In-silico modeling of peptide drugs against cerebral malaria

Personal Interests

• Reading: I maintain my reading lists on Goodreads and enjoy both technical and fiction literature
• Science Communication: I believe in making complex quantum concepts accessible to broader audiences
• Open Source Advocacy: Contributing to the global scientific computing community through free and open-source software
• Entrepreneurship: Co-founded Curem Biotech, first student-led startup at IISER Pune (raised $50k+ in funding).