Nvidia developing ‘onramp’ to hybrid quantum computing
As quantum computers improve, says the company, researchers share a vision of a hybrid computing model where quantum and classical computers work together, each addressing the challenges they’re best suited to. To be broadly useful, these systems will need a unified programming environment that’s efficient and easy to use.
“We’re building this onramp to the future of computing today,” says Timothy Costa, who leads the HPC & Quantum Computing Product Team at NVIDIA. “Starting with commercially available tools, like NVIDIA cuQuantum, we’re collaborating with IBM, Oak Ridge National Laboratory, Pasqal and many others.”
As a first step, the company is developing a new quantum compiler. Called nvq++, it targets the Quantum Intermediate Representation (QIR) – a specification of a low-level machine language that quantum and classical computers can use to talk to each other.
Researchers at Oak Ridge National Laboratory, Quantinuum, Quantum Circuits Inc., and others have embraced the QIR Alliance, led by the Linux Foundation. It is designed to enable an agnostic programming approach that will deliver the best from both quantum and classical computers.
“Researchers at the Oak Ridge National Laboratory will be among the first to use this new software, says Costa. “Ultimately, we believe the HPC community will embrace this unified programming model for hybrid systems.”
The company says its quantum products are supported by an expanding ecosystem of companies. For example, Xanadu has integrated cuQuantum into PennyLane, an open-source framework for quantum machine learning and quantum chemistry. The Oak Ridge National Lab is using cuQuantum in TNQVM, a framework for tensor network quantum circuit simulations.
In addition, other companies now support cuQuantum in their commercially available quantum simulators and frameworks, such as the Classiq Quantum Algorithm Design platform from Classiq, and Orquestra from Zapata Computing. Existing collaborators including Google Quantum AI, IBM, IonQ and Pasqal.
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