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Researchers, Scientists Adopt NVIDIA cuQuantum and QODA; A Growth Graph

NVIDIA platform is increasingly used to help design quantum algorithms, simulations and classical-quantum computers

In her 18 years as a competitive figure skater, Bettina Heim learned to land a lutz with speed and grace. Now, armed with a Ph.D. in quantum computing, she’s helping Microsoft Azure Quantum carve out a position at the cutting edge of cloud services.

“I’ve always been attracted to interesting problems and working hard to achieve a goal,” said Heim, a principal software engineering manager at Microsoft. “That’s why I was drawn to quantum computing, where there’s a huge potential to benefit society by creating a completely new tool beyond today’s classical systems.”

Last winter, Azure Quantum — in collaboration with Quantinuum, Quantum Circuits Inc., Rigetti Computing, and Oak Ridge National Lab — demonstrated how classical and quantum systems can work together to tackle big problems, a capability it aims to deliver to any cloud user.

To get there, it’s embracing tools such as NVIDIA QODA, an open, universal programming environment that will link GPUs and quantum processors in future hybrid systems. “QODA will help us take that next step of offering a robust integration of very different systems and developer tools,” said Heim, a Swiss national now based in Seattle.

Quantum’s Software Foundation

Laying the software foundation for quantum computers is the focus of the QIR Alliance that Heim chairs.

The industry group oversees work on a common interface between quantum programming languages and targeted quantum computers. QIR enables developers to use tools like QODA to build apps that run on hybrid quantum computers to accelerate scientific discovery. That’s a huge leap for a sector where developers are used to writing the equivalent of assembler programs that directly address the specifics of each system.

“It’s important to have tools that don’t require deep knowledge of quantum systems, so we’re collaborating with companies like NVIDIA to engage and inspire a broad field of developers,” she said.

“QODA and cuQuantum provide a great step ahead for the field by taking advantage of classical HPC resources for quantum development,” she added, referring to NVIDIA cuQuantum, a software library for running quantum-circuit simulations on GPU-accelerated systems.

An Expanding Quantum Ecosystem

The collaboration with Microsoft to expand the QIR ecosystem and integrate NVIDIA’s toolset with Azure Quantum is one among many. Dozens of companies are adopting cuQuantum to accelerate quantum research on today’s classical computers and QODA to program tomorrow’s hybrid classical-quantum systems.

For example, Rigetti Computing will let developers use QODA to program its superconducting quantum computers. And software specialist Classiq will use QODA to optimize the performance of its quantum algorithms.

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