Mark Wolf

Mark Wolf is a technical marketing engineer for the NVIDIA HPC and Quantum Computing team. He focuses on inspiring developers by sharing examples of how NVIDIA quantum technologies can accelerate research. Prior to NVIDIA, Mark was a technical solutions specialist at Quantinuum. Mark holds a PhD in Quantum Chemistry from the University of Georgia.
Mark Wolf

Posts by Mark Wolf

Chart of algorithm workflow.
Simulation / Modeling / Design Sep 30, 2024

Advancing Quantum Algorithm Design with GPTs

AI techniques like large language models (LLMs) are rapidly transforming many scientific disciplines. Quantum computing is no exception. A collaboration between... 8 MIN READ
10 coreset representation of a 1K dataset with coresets as smaller and larger stars according to weight.
Simulation / Modeling / Design Aug 26, 2024

CUDA-Q Enabled Resource Reduction for Quantum Clustering Algorithms

Quantum computers can use the quantum properties of superposition, entanglement, and interference to generalize learnings and insights from data. Such quantum... 7 MIN READ
Image of a quantum circuit diagram.
Simulation / Modeling / Design Aug 08, 2024

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
Decorative image of a profit/loss graph.
Simulation / Modeling / Design Aug 07, 2024

Profit and Loss Modeling on GPUs with ISO C++ Language Parallelism

The previous post How to Accelerate Quantitative Finance with ISO C++ Standard Parallelism demonstrated how to write a Black-Scholes simulation using ISO C++... 10 MIN READ
Simulation / Modeling / Design May 12, 2024

New NVIDIA CUDA-Q Features Boost Quantum Application Performance

NVIDIA CUDA-Q (formerly NVIDIA CUDA Quantum) is an open-source programming model for building quantum accelerated supercomputing applications that take full... 5 MIN READ
Simulation / Modeling / Design May 12, 2024

Enabling Quantum Computing with AI

Building a useful quantum computer in practice is incredibly challenging. Significant improvements are needed in the scale, fidelity, speed, reliability, and... 6 MIN READ