Tanuj Khattar is a Quantum Software Engineer at Google Quantum AI with a decade of software and research experience bridging algorithmic problem solving and practical systems engineering. A two-time ACM-ICPC World Finals competitor, he moved from high-frequency quant research and backend roles into quantum algorithm implementation and optimization within Cirq, contributing core gate decompositions and performance improvements to a widely used open-source quantum framework. He combines production-grade software instincts honed at Google and Facebook with academic rigor—evident in his publications and research profile—and has delivered both infrastructure and algorithmic innovations. Based in Los Angeles, he blends deep competitive-programming roots with active contributions to Google’s quantum stack, focusing on making NISQ-era algorithms more efficient and maintainable.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at International Institute of Information Technology
An open-source Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
Role in this project:
Back-end Developer & Algorithm Implementer
Contributions:3 releases, 1167 reviews, 251 commits in 2 years 9 months
Contributions summary:Tanuj contributed to the implementation and refinement of quantum algorithms within the Cirq framework. Their work involved modifying core modules related to Pauli gates and their decompositions, optimizing performance through the removal of unnecessary parameters and the introduction of new classes for specific gate functionalities. They were also involved in ensuring the code complied with new features and making necessary changes in tests and documentation to align with modifications to the code base.
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Tanuj Khattar - Quantum Software Engineer at Google