IonQ, a leader in quantum computing, has successfully demonstrated an end-to-end application workflow that combines its leading quantum computing hardware with NVIDIA’s CUDA-Q platform. This achievement showcases IonQ’s focus on making quantum acceleration as simple and ubiquitous as GPU acceleration for on-prem and hybrid deployments.
The demonstration, presented at SC24, leverages the core workflow behind several hybrid quantum-classical approaches to calculate the specific properties of a molecule’s electronic structure, with potential relevance in commercial applications such as identifying how drug molecules interact with specific proteins in the human body.
Dean Kassmann, SVP of Engineering & Technology at IonQ, highlighted the benefits of CUDA-Q for achieving seamless integration and top-tier performance with IonQ’s quantum hardware. Elica Kyoseva, Director of Quantum Algorithm Engineering at NVIDIA, emphasized the importance of drawing on both quantum hardware and AI supercomputing resources to enable useful quantum applications.
Advancing Hybrid Quantum Computing with IonQ and NVIDIA CUDA-Q
IonQ, a prominent player in the quantum computing industry, has successfully demonstrated an end-to-end application workflow that leverages the NVIDIA CUDA-Q platform alongside its leading quantum computing hardware, IonQ Forte. This achievement reaffirms IonQ’s focus on making quantum acceleration as simple and ubiquitous as GPU acceleration for on-prem and hybrid deployments.
The demonstration, showcased at SC24, illustrates the seamless integration of the core workflow behind several hybrid quantum-classical approaches to calculate the specific properties of a molecule’s electronic structure. These approaches have potential relevance in many chemistry-focused commercial applications, such as identifying how drug molecules might interact with specific proteins in the human body. The achievement captures IonQ’s interest in developing solutions that combine the benefits of quantum processing units (QPUs) with the accelerated, heterogeneous computing capabilities of the NVIDIA CUDA-Q platform.
IonQ has supported NVIDIA CUDA-Q since 2023, a powerful, unified, open-source software stack that enables the integration and programming of QPUs and GPUs in a single workflow. This demonstration was performed using a combination of IonQ Forte, the IonQ Hybrid Services suite, CUDA-Q, and NVIDIA A100 Tensor Core GPUs, which can be deployed to cloud and on-prem environments.
Seamless Integration of Quantum and Classical Computing
Integrating IonQ’s quantum computing hardware with NVIDIA’s CUDA-Q platform enables researchers and developers to explore new paradigms by accessing NVIDIA accelerated computing alongside IonQ’s quantum processors. This seamless integration is crucial for developing efficient, performant, robust solutions that can be deployed at commercial scale.
IonQ’s Hybrid Services suite makes designing and deploying quantum-accelerated applications easier than ever. It achieves this via a flexible, easy-to-configure hybrid infrastructure, workflow management, and scheduling for cloud or on-prem installations. Further, it has powerful tools to help application developers explore new applications and use cases, such as prebuilt solvers for problem classes like quadratic optimization and graph partitioning, and out-of-the-box support for a variety of common programming models, including NVIDIA CUDA-Q quantum kernels.
Accelerating Quantum Applications with IonQ Forte
IonQ’s current generation quantum computer, IonQ Forte, is the latest in a line of cutting-edge systems, boasting 36 algorithmic qubits. This system enables researchers and developers to accelerate even more powerful ways to model molecular dynamics for future biopharmaceutical applications.
The demonstration at SC24 showcases a novel way to interrogate the properties of specific molecules in a resource-efficient way that has relevance in larger application workflows pertaining to pharma and other commercial domains. IonQ’s focus on developing hardware and software that leverages a combination of quantum and classical computation enables efficient, performant, robust solutions that can be deployed at commercial scale.
Enabling Commercial-Scale Quantum Computing
IonQ is making quantum computing more accessible and impactful than ever before. Its innovative technology and rapid growth were recognized in Fast Company’s 2023 Next Big Things in Tech List and Deloitte’s 2023 Technology Fast 500™ List, respectively. Available through all major cloud providers, IonQ is poised to accelerate the adoption of quantum computing in various industries.
IonQ’s commitment to developing hardware and software that combines the benefits of quantum processing units with classical computation enables researchers and developers to explore new applications and use cases. This achievement sets the stage for IonQ to accelerate even more powerful ways to model molecular dynamics for future biopharmaceutical applications, further solidifying its position as a leader in the quantum computing industry.
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