Alex McCaskey

Alex McCaskey is a senior quantum computing software architect at NVIDIA. His work is focused on programming models, compilers, and languages for heterogeneous quantum-classical computing. In the past, he has led a number of open-source quantum software projects, including the XACC system-level quantum framework and the QCOR quantum-classical C++ compiler platform. He received B.Sc. degrees in 2010 in physics and mathematics from the University of Tennessee, and an M.Sc. degree in physics from the Virginia Polytechnic and State University in 2014.
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Posts by Alex McCaskey

Diagrammatic representation of the surface code an important quantum error correction code included in the CUDA-Q QEC library.
Simulation / Modeling / Design

Introducing NVIDIA CUDA-QX Libraries for Accelerated Quantum Supercomputing

Accelerated quantum supercomputing combines the benefits of AI supercomputing with quantum processing units (QPUs) to develop solutions to some of the world’s... 14 MIN READ
Image of a quantum circuit diagram.
Simulation / Modeling / Design

Performant Quantum Programming Even Easier with NVIDIA CUDA-Q v0.8

NVIDIA CUDA-Q (formerly NVIDIA CUDA Quantum) is an open-source programming model for building hybrid-quantum classical applications that take full advantage of... 7 MIN READ
Illustration of a DGX GH200.
Simulation / Modeling / Design

Programming the Quantum-Classical Supercomputer

Heterogeneous computing architectures—those that incorporate a variety of processor types working in tandem—have proven extremely valuable in the continued... 9 MIN READ
Simulation / Modeling / Design

Introducing NVIDIA CUDA-Q: The Platform for Hybrid Quantum-Classical Computing

The past decade has seen quantum computing leap out of academic labs into the mainstream. Efforts to build better quantum computers proliferate at both startups... 8 MIN READ