MQT Qudits @ TUM

Now part of Munich Quantum Software Company

First open-source framework for mixed-dimensional quantum computing, featuring multiple simulators, a compiler, and a programming language based on OpenQASM 2.0.

Technologies: C++, Python, Tensor Networks, Decision Diagrams, OpenQASM
View Project →

Quantum Computing Libraries @ NVIDIA

At NVIDIA, I work on pathfinding and engineering across the quantum software stack — from compilers and quantum software architectures to real-time systems running on heterogeneous hardware (CPU, GPU, QPU).

I contribute to CUDA-Q, the quantum-classical programming platform that enables hybrid algorithm development with seamless GPU acceleration.

CUDA-Q →

My work on CUDA-QX focuses on quantum algorithm software development, such as quantum chemistry algorithms, and full-stack quantum error correction — bridging the gap between hardware and software for fault-tolerant quantum computing.

CUDA-QX →

I contributed also on cuQuantum for GPU-based quantum circuit simulations, enabling researchers to push the boundaries of what's possible before real hardware is available.

cuQuantum →
Technologies: C++, CUDA, Python, Quantum Error Correction

Want to dive deeper into the research?

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