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IonQ to Advance Hybrid Quantum Computing with New Chemistry Application and NVIDIA CUDA-Q

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IonQ has successfully demonstrated an end-to-end application workflow combining NVIDIA CUDA-Q platform with IonQ Forte quantum hardware. The demonstration, presented at SC24, showcases hybrid quantum-classical approaches for calculating molecular electronic structure properties, with potential applications in pharmaceutical research. The integration leverages IonQ Forte, IonQ Hybrid Services suite, CUDA-Q, and NVIDIA A100 Tensor Core GPUs, enabling deployment in both cloud and on-premises environments. This achievement builds on IonQ's support of NVIDIA CUDA-Q since 2023, highlighting their commitment to developing quantum-accelerated applications for commercial scale deployment.

IonQ ha dimostrato con successo un flusso di lavoro applicativo end-to-end che combina la piattaforma NVIDIA CUDA-Q con l'hardware quantistico IonQ Forte. La dimostrazione, presentata a SC24, mostra approcci ibridi quantistico-classici per il calcolo delle proprietà della struttura elettronica molecolare, con potenziali applicazioni nella ricerca farmaceutica. L'integrazione sfrutta IonQ Forte, la suite di servizi ibridi IonQ, CUDA-Q e le GPU NVIDIA A100 Tensor Core, consentendo il deployment sia nel cloud che on-premises. Questo traguardo si basa sul supporto di IonQ per NVIDIA CUDA-Q dal 2023, evidenziando il loro impegno nello sviluppo di applicazioni accelerate da quantum per un'implementazione su scala commerciale.

IonQ ha demostrado con éxito un flujo de trabajo de aplicación de extremo a extremo que combina la plataforma NVIDIA CUDA-Q con el hardware cuántico IonQ Forte. La demostración, presentada en SC24, muestra enfoques híbridos cuántico-clásicos para calcular las propiedades de la estructura electrónica molecular, con aplicaciones potenciales en la investigación farmacéutica. La integración aprovecha IonQ Forte, la suite de servicios híbridos de IonQ, CUDA-Q y las GPU NVIDIA A100 Tensor Core, permitiendo el despliegue tanto en la nube como en entornos locales. Este logro se basa en el apoyo de IonQ a NVIDIA CUDA-Q desde 2023, destacando su compromiso con el desarrollo de aplicaciones aceleradas por quantum para el despliegue a escala comercial.

IonQ는 NVIDIA CUDA-Q 플랫폼과 IonQ Forte 양자 하드웨어를 결합한 엔드 투 엔드 애플리케이션 워크플로우를 성공적으로 시연했습니다. SC24에서 발표된 이 시연은 분자 전자 구조 특성을 계산하기 위한 혼합 양자-고전적 접근 방식을 보여주며, 제약 연구에 잠재적인 응용 프로그램이 있습니다. 이 통합은 IonQ Forte, IonQ Hybrid Services suite, CUDA-Q 및 NVIDIA A100 Tensor Core GPU를 활용하여 클라우드 및 온프레미스 환경 모두에서 배포를 가능하게 합니다. 이 성과는 2023년부터 NVIDIA CUDA-Q에 대한 IonQ의 지원을 기반으로 하며 상업적 규모 배포를 위한 양자 가속 응용 프로그램 개발에 대한 그들의 의지를 강조합니다.

IonQ a réussi à démontrer un flux de travail d'application de bout en bout combinant la plateforme NVIDIA CUDA-Q avec le matériel quantique IonQ Forte. La démonstration, présentée à SC24, met en avant des approches hybrides quantique-classiques pour le calcul des propriétés de la structure électronique moléculaire, avec des applications potentielles dans la recherche pharmaceutique. L'intégration s'appuie sur IonQ Forte, la suite de services hybrides IonQ, CUDA-Q et les GPU NVIDIA A100 Tensor Core, permettant un déploiement à la fois dans le cloud et sur site. Cette réalisation s'inscrit dans le cadre de l'engagement d'IonQ à soutenir NVIDIA CUDA-Q depuis 2023, soulignant leur détermination à développer des applications accélérées par quantum pour un déploiement à grande échelle commerciale.

IonQ hat erfolgreich einen End-to-End-Anwendungsworkflow demonstriert, der die NVIDIA CUDA-Q-Plattform mit der IonQ Forte-Quantenhardware kombiniert. Die Demonstration, die auf der SC24 präsentiert wurde, zeigt hybride quantenklassische Ansätze zur Berechnung der molekularen elektronischen Strukturmerkmale, mit potenziellen Anwendungen in der pharmazeutischen Forschung. Die Integration nutzt IonQ Forte, die IonQ Hybrid Services Suite, CUDA-Q und die NVIDIA A100 Tensor Core GPUs, was den Einsatz sowohl in der Cloud als auch vor Ort ermöglicht. Diese Errungenschaft baut auf IonQs Unterstützung von NVIDIA CUDA-Q seit 2023 auf und unterstreicht ihr Engagement für die Entwicklung von quantenbeschleunigten Anwendungen für den kommerziellen Einsatz.

Positive
  • Successfully demonstrated integration of quantum-classical computing workflow
  • Practical application in pharmaceutical research and molecular modeling
  • Versatile deployment options (cloud and on-premises)
Negative
  • None.

Insights

The integration of NVIDIA CUDA-Q with IonQ Forte represents a significant technological breakthrough in hybrid quantum-classical computing. The successful demonstration of end-to-end molecular modeling workflows combines quantum processing units (QPUs) with NVIDIA A100 Tensor Core GPUs, creating a powerful unified computing platform that could accelerate drug discovery and chemical analysis.

The development is particularly notable as it addresses a key challenge in quantum computing - the seamless integration of quantum and classical computing resources. This hybrid approach leverages the strengths of both systems, potentially enabling more efficient and practical quantum applications in commercial settings. The support for both cloud and on-premises deployments through IonQ Hybrid Services makes this technology more accessible to enterprise customers.

This partnership with NVIDIA significantly strengthens IonQ's market position in the emerging quantum computing industry. By integrating with NVIDIA's widely-adopted CUDA platform, IonQ gains access to a vast ecosystem of developers and enterprise customers. The focus on practical applications in pharmaceutical research and molecular modeling targets high-value commercial markets.

The development of hybrid quantum-classical solutions addresses immediate market needs while positioning IonQ for future growth as quantum technology matures. The ability to deploy these solutions both in cloud and on-premises environments expands the potential customer base and revenue opportunities.

IonQ uses the NVIDIA CUDA-Q platform alongside IonQ Forte to demonstrate an end-to-end application workflow

The work reaffirms IonQ’s focus on making quantum acceleration as simple and ubiquitous as GPU acceleration for on-prem and hybrid deployments

COLLEGE PARK, Md.--(BUSINESS WIRE)-- IonQ (NYSE: IONQ), a leader in the quantum computing and networking industry, announced today the completion of an industry-first demonstration of an end-to-end application workflow that leverages the NVIDIA CUDA-Q platform alongside IonQ’s leading quantum computing hardware.

IonQ to Advance Hybrid Quantum Computing with New Chemistry Application and NVIDIA CUDA-Q (Graphic: Business Wire)

IonQ to Advance Hybrid Quantum Computing with New Chemistry Application and NVIDIA CUDA-Q (Graphic: Business Wire)

Showcased via a joint presentation at SC24, the application demonstrates 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 is building on its approach of accelerating AI, scientific compute, and other supercomputing workloads with quantum hardware – enabling entirely new ways to approach previously unsolvable problems,” said Dean Kassmann, SVP of Engineering & Technology at IonQ. “Today’s molecular modeling demonstration illustrates why CUDA-Q is a great platform for achieving seamless integration and top-tier performance with our leading quantum hardware.”

Since 2023, IonQ has supported NVIDIA CUDA-Q, a powerful, unified, open-source software stack. CUDA-Q is a hybrid quantum-classical computing platform 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.

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. The work also sets the stage for IonQ to accelerate even more powerful ways to model molecular dynamics for future biopharmaceutical applications.

“Useful quantum applications will need to draw on both quantum hardware and AI supercomputing resources,” said Elica Kyoseva, Director of Quantum Algorithm Engineering, NVIDIA. “The CUDA-Q platform is allowing researchers and developers to explore these paradigms by accessing NVIDIA accelerated computing alongside IonQ’s quantum processors.”

Today’s news reaffirms IonQ’s commitment to developing hardware and software that leverages a combination of quantum and classical computation to enable efficient, performant, robust solutions that can be deployed at commercial scale.

IonQ’s Hybrid Services suite makes designing and deploying quantum-accelerated applications that take advantage of IonQ’s leading quantum hardware 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.

To learn more about IonQ and its latest system news and business developments, visit https://ionq.com/.

About IonQ

IonQ, Inc. is a leader in quantum computing that delivers high-performance systems capable of solving the world’s largest and most complex commercial and research use cases. IonQ’s current generation quantum computer, IonQ Forte, is the latest in a line of cutting-edge systems, boasting 36 algorithmic qubits. The company’s 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 making quantum computing more accessible and impactful than ever before. Learn more at IonQ.com.

IonQ Forward-Looking Statements

This press release contains certain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Some of the forward-looking statements can be identified by the use of forward-looking words. Statements that are not historical in nature, including the words “accelerate,” “accelerated,” “acceleration,” “achieving,” “developing,” “enables,” “enabling,” “explore,” “leverages,” “might,” “potential,” “will,” and other similar expressions are intended to identify forward-looking statements. These statements include those related to the company’s technology driving commercial quantum advantage in the future, the ability for third parties to implement IonQ’s offerings to increase their quantum computing capabilities, the potential commercial relevance of described chemistry-focused applications, whether IonQ’s offerings can or will continue to be integrated with third party systems, the potential benefits of integrating quantum processing units with third party offerings, IonQ’s quantum computing capabilities and plans, access to IonQ’s quantum computers, increases in performance, and the scalability, efficiency, and durability of IonQ’s quantum computing offerings. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release, including but not limited to: market adoption of quantum computing solutions and IonQ’s products, services and solutions; changes in the competitive industries in which IonQ operates, including development of competing technologies; changes in laws and regulations affecting IonQ’s business; IonQ’s ability to implement its business plans, forecasts and other expectations, and identify and realize partnerships and opportunities. You should carefully consider the foregoing factors and the other risks and uncertainties disclosed in the Company’s filings, including but not limited to those described in the “Risk Factors” section of IonQ’s most recent Quarterly Report on Form 10-Q and other documents filed by IonQ from time to time with the Securities and Exchange Commission. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and IonQ assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. IonQ does not give any assurance that it will achieve its expectations.

IonQ Media contact:

Tyler Ogoshi

press@ionq.com

IonQ Investor Contact:

investors@ionq.co

Source: IonQ, Inc.

FAQ

What did IonQ demonstrate with NVIDIA CUDA-Q platform in 2024?

IonQ demonstrated an end-to-end application workflow that combines NVIDIA CUDA-Q platform with IonQ Forte quantum hardware for calculating molecular electronic structure properties.

How can IonQ's new quantum-classical computing integration be applied?

The integration can be applied in chemistry-focused commercial applications, such as identifying drug molecule interactions with proteins in the human body.

What hardware components are used in IonQ's hybrid quantum computing demonstration?

The demonstration uses IonQ Forte quantum computer, IonQ Hybrid Services suite, CUDA-Q platform, and NVIDIA A100 Tensor Core GPUs.

When did IonQ (IONQ) begin supporting NVIDIA CUDA-Q?

IonQ has been supporting NVIDIA CUDA-Q, an open-source software stack for hybrid quantum-classical computing, since 2023.

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