Tharrmashastha Sapv is a PhD researcher and Technical Research Advisor with over seven years of experience at the intersection of quantum algorithms, complexity theory, and near-term quantum hardware. His work probes time-space tradeoffs for decision problems on NISQ-era devices, introducing models like the Generalized Quantum Branch Program and practical low-space quantum algorithms. He has contributed to quantum cryptanalysis, learning theory, and superconducting-transmon experiments (including two-qutrit entangling gates), and authored a widely accessed IBMQ-focused book on quantum algorithms for cryptographic Boolean functions. An early Qiskit adopter and active contributor, he has fixed core visualization and conditioning issues in Qiskit Terra, improving how quantum circuits are drawn and debugged. Based in New Delhi, he blends deep theoretical advances with hands-on open-source engineering, making his research immediately relevant to both cryptographers and practitioners.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Quantum Computing, Doctor of Philosophy - PhD, Quantum Computing at Indraprastha Institute of Information Technology, Delhi
Integrated M.Sc, Mathematics, Integrated M.Sc, Mathematics at Visva Bharati
Higher Scondary School, Higher Scondary School at Sainik School Amaravathinagar
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Role in this project:
Back-end Developer
Contributions:37 reviews, 24 commits, 39 PRs in 1 year 10 months
Contributions summary:Tharrmashastha primarily contributed to the Qiskit project by fixing bugs and improving the visualization and circuit functionalities. The commits involved updating the `matplotlib.py` and `text.py` files. Their contributions included the consistent coloring of controlled gates and adjustments to the drawing of custom instructions in latex and text drawers, demonstrating involvement with the Qiskit project's drawing functionalities.
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Tharrmashastha Sapv - Technical Research Advisor at EulerQ