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IonQ and Oak Ridge National Laboratory Unveil Novel Approach to Scalable Quantum Computing

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IonQ and Oak Ridge National Laboratory (ORNL) have announced a breakthrough in quantum computing through their development of a novel hybrid quantum algorithm based on the Quantum Imaginary Time Evolution (QITE) principle. The noise-tolerant method achieved an 85% reduction in two-qubit gates for a 28-qubit problem compared to traditional QAOA solutions.

The technology was successfully tested on IonQ's Aria and Forte systems, demonstrating superior performance in both time-to-solution and circuit depth. This advancement has practical applications across various industries, including energy grid optimization, financial risk management, logistics, drug discovery, and manufacturing operations.

IonQ e Oak Ridge National Laboratory (ORNL) hanno annunciato una svolta nell'informatica quantistica attraverso lo sviluppo di un innovativo algoritmo quantistico ibrido basato sul principio di Quantum Imaginary Time Evolution (QITE). Il metodo, tollerante al rumore, ha ottenuto una riduzione dell'85% nelle porte a due qubit per un problema a 28 qubit rispetto alle soluzioni tradizionali del QAOA.

La tecnologia è stata testata con successo sui sistemi Aria e Forte di IonQ, dimostrando prestazioni superiori sia nel tempo di soluzione che nella profondità del circuito. Questo progresso ha applicazioni pratiche in vari settori, tra cui l'ottimizzazione della rete energetica, la gestione del rischio finanziario, la logistica, la scoperta di farmaci e le operazioni manifatturiere.

IonQ y Oak Ridge National Laboratory (ORNL) han anunciado un avance en la computación cuántica a través del desarrollo de un novedoso algoritmo cuántico híbrido basado en el principio de Quantum Imaginary Time Evolution (QITE). El método, tolerante al ruido, logró una reducción del 85% en puertas de dos qubits para un problema de 28 qubits en comparación con las soluciones QAOA tradicionales.

La tecnología fue probada con éxito en los sistemas Aria y Forte de IonQ, demostrando un rendimiento superior tanto en el tiempo para llegar a la solución como en la profundidad del circuito. Este avance tiene aplicaciones prácticas en diversas industrias, incluyendo la optimización de redes eléctricas, la gestión de riesgos financieros, la logística, el descubrimiento de fármacos y las operaciones de manufactura.

IonQ오크리지 국가 연구소 (ORNL)양자 허구 시간 진화 (QITE) 원리를 기반으로 한 새로운 혼합 양자 알고리즘 개발을 통해 양자 컴퓨팅의 돌파구를 발표했습니다. 이 소음 내성 방식은 전통적인 QAOA 솔루션에 비해 28 큐비트 문제에서 두 큐비트 게이트의 85% 감소를 달성했습니다.

이 기술은 IonQ의 Aria 및 Forte 시스템에서 성공적으로 테스트되어, 솔루션까지의 시간과 회로 깊이 모두에서 뛰어난 성능을 입증했습니다. 이 발전은 에너지 그리드 최적화, 재무 리스크 관리, 물류, 약물 발견 및 제조 운영 등 다양한 산업에 실용적인 응용이 있습니다.

IonQ et Oak Ridge National Laboratory (ORNL) ont annoncé une avancée majeure dans le domaine de l'informatique quantique grâce au développement d'un nouvel algorithme quantique hybride basé sur le principe de Quantum Imaginary Time Evolution (QITE). Cette méthode tolérante au bruit a permis une réduction de 85% des portes à deux qubits pour un problème de 28 qubits par rapport aux solutions QAOA traditionnelles.

La technologie a été testée avec succès sur les systèmes Aria et Forte d'IonQ, démontrant des performances supérieures tant en termes de temps de solution que de profondeur de circuit. Cette avancée a des applications pratiques dans divers secteurs, notamment l'optimisation des réseaux énergétiques, la gestion des risques financiers, la logistique, la découverte de médicaments et les opérations de fabrication.

IonQ und Oak Ridge National Laboratory (ORNL) haben einen Durchbruch in der Quantencomputing-Technologie angekündigt, indem sie einen neuartigen hybriden Quantenalgorithmus entwickelt haben, der auf dem Prinzip der Quantum Imaginary Time Evolution (QITE) basiert. Die geräuschunempfindliche Methode erzielte eine 85%ige Reduktion der Zwei-Qubit-Gatter für ein 28-Qubit-Problem im Vergleich zu traditionellen QAOA-Lösungen.

Die Technologie wurde erfolgreich auf den Systemen Aria und Forte von IonQ getestet und zeigte eine überlegene Leistung sowohl bei der Lösungszeit als auch in der Schaltungsdicke. Diese Fortschritte haben praktische Anwendungen in verschiedenen Branchen, einschließlich der Optimierung von Energie-Netzen, dem Finanzrisikomanagement, der Logistik, der Arzneimittelentdeckung und den Fertigungsbetrieben.

Positive
  • Achieved 85% reduction in two-qubit gates for 28-qubit problems
  • Successfully demonstrated on commercial IonQ Aria and Forte systems
  • Technology outperforms existing QAOA solutions in time-to-solution and circuit depth
Negative
  • None.

Insights

This breakthrough represents a significant advancement in quantum computing efficiency. The new QITE-based algorithm's ability to reduce two-qubit gates by 85% for a 28-qubit problem is revolutionary - it's like upgrading from a propeller plane to a jet engine in terms of computational efficiency. The reduction in gate count directly translates to lower error rates and faster execution times, which are critical barriers in current quantum systems.

The successful implementation on IonQ's commercial systems, particularly Aria and Forte, demonstrates immediate practical viability rather than just theoretical potential. Traditional QAOA approaches often struggle with noise accumulation and circuit depth limitations, but this hybrid approach cleverly circumvents these issues. Think of it as finding a shortcut through a maze - we're getting to the same destination but with far fewer steps and obstacles.

For real-world applications, this means optimization problems that were previously impractical to solve on quantum computers due to hardware limitations could now be within reach. The development could accelerate quantum advantage in areas like financial modeling and supply chain optimization where classical computers currently struggle.

IonQ's collaboration with ORNL strategically positions the company at the forefront of practical quantum computing applications. This isn't just an incremental improvement - it's a fundamental rethinking of how to approach optimization problems on quantum hardware. The key value proposition lies in the algorithm's noise tolerance, which addresses one of the biggest challenges in quantum computing commercialization.

The broad applicability across industries - from energy grid optimization to pharmaceutical research - expands IonQ's total addressable market significantly. While competitors focus on increasing qubit counts, IonQ is effectively doing more with existing hardware, which could accelerate revenue generation from current systems. For investors, this translates to potentially faster paths to commercialization and real-world applications.

Innovative, noise-tolerant quantum algorithm reduces the number of two-qubit gates needed by over 85 percent, speeding up solutions for complex optimization problems.

COLLEGE PARK, Md.--(BUSINESS WIRE)-- IonQ (NYSE: IONQ), a leader in the quantum computing and networking industry, announced a technological breakthrough that demonstrates a new approach to scalable quantum computing, resulting from a collaboration with Oak Ridge National Laboratory (ORNL).

The collaboration combined IonQ’s high-performing, enterprise-grade trapped-ion technology with ORNL’s world-class quantum technologies expertise to develop a novel hybrid quantum algorithm based on the Quantum Imaginary Time Evolution principle (QITE). This noise-tolerant method enables near-optimal and optimal solutions for complex combinatorial optimization problems on IonQ's commercially available hardware. The results showed that QITE can significantly outperform other quantum optimization algorithms such as QAOA (Quantum Approximate Optimization Algorithm) in both time-to-solution and circuit depth, paving the way for tackling large optimization problems on near-term quantum computers. By using this hybrid quantum algorithm, IonQ and ORNL were able to reduce the number of two-qubit gates by over 85% for a 28 qubit problem compared to a QAOA solution, improving over the state of the art. The hybrid quantum algorithm was proved out on IonQ’s Aria and Forte systems which were used inside the optimization loop, paving the way for scaling to larger problem sizes.

Optimization is one of the most anticipated applications for quantum computers, due to a wealth of applications in both industry and scientific discovery. IonQ and ORNL’s breakthrough method has practical applications across various industries, including energy grid optimization, unit commitment, contingency planning, financial risk management and fraud detection, improving logistics and supply chain efficiency, advancing drug discovery and optimizing clinical trials in healthcare and pharmaceuticals, and enhancing production efficiency in manufacturing and operations.

“This work is an important step forward in scaling quantum computing systems for practical commercial applications,” said Dr. Martin Roetteler, Senior Director, Quantum Solutions at IonQ. “Working with ORNL, we’ve shown how our technology can have a direct business impact by reducing cost, time and computational resources, and we’re excited about the potential this has for industries ranging from logistics to energy systems, finance and life sciences.”

“This collaboration is part of the lab’s ongoing efforts in advancing quantum optimization. The development of quantum imaginary time evolution-based methods demonstrates our commitment to leveraging near-term quantum computers for real-world, industrial challenges. We’re excited about testing quantum computers to benefit the nation,” said Dr. Travis Humble, Director, Quantum Science Center at Oak Ridge National Laboratory.

To learn more about IonQ’s latest innovations and more details on this novel hybrid quantum algorithm, visit www.ionq.com.

About IonQ

IonQ, Inc. is a leader in the quantum computing and networking industry, delivering high-performance systems capable of solving the world’s largest and most complex commercial and research use cases. IonQ’s current generation quantum computers, IonQ Forte and IonQ Forte Enterprise, are the latest in a line of cutting-edge systems, boasting 36 algorithmic qubits. The company’s innovative technology and rapid growth were recognized in Newsweek’s 2025 Excellence Index 1000 and Forbes’ 2025 Most Successful Mid-Cap Companies list. 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 terms “advancing,” “anticipated,” “benefit,” “breakthrough,” “can,” “collaboration,” “commitment,” “critical,” “develop,” “development,” “discovery,” “enables,” “encouraged,” “extend,” “impact,” “improving,” “laying the groundwork,” “leveraging,” “new approach,” “optimization,” “outperform,” “paving the way,” “potential,” “ranging,” “reducing,” “scalable,” “scaling,” “solutions,” “step forward,” “tackling,” “testing,” and other similar expressions are intended to identify forward-looking statements. These statements include those related to IonQ’s quantum computing capabilities and plans, the accuracy and efficiency of quantum algorithms run on IonQ’s quantum computers, the success and capabilities available as the result of the of the IonQ and ORNL partnership, the capabilities of Aria and Forte systems, the ability for third parties to implement IonQ’s offerings to increase their quantum computing capabilities, access to IonQ’s quantum computers, the problems that can be solved by IonQ’s quantum computers, the ability to test and execute quantum algorithms on IonQ’s quantum computers, the opportunity to test and optimize novel quantum-enhanced algorithms for computational challenges on IonQ’s quantum computers, and the scalability 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: changes in laws and regulations affecting IonQ’s business; IonQ’s ability to scale its business and manage its growth to meet customer and market demands; IonQ’s ability to implement its business plans, forecasts and other expectations, identify and realize partnerships and opportunities; market adoption of quantum computing solutions and IonQ’s products, services and solutions; current or future IonQ products and technology, and the expected benefits of current or future IonQ products and technology; or IonQ’s ability to maintain or obtain patent protection for its products and technology, including with sufficient breadth to provide a competitive advantage. 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 may or may not choose to practice or otherwise use the inventions described in the issued patents in the future.

IonQ Media Contact:

Jane Mazur

press@ionq.co

IonQ Investor Contact:

investors@ionq.co

Source: IonQ

FAQ

What breakthrough did IonQ (IONQ) achieve with Oak Ridge National Laboratory?

IonQ and ORNL developed a novel hybrid quantum algorithm based on QITE that reduces two-qubit gates by over 85% for 28-qubit problems, significantly outperforming traditional QAOA solutions.

How does IonQ's (IONQ) new QITE algorithm improve quantum computing efficiency?

The QITE algorithm improves efficiency by reducing two-qubit gates by over 85% and delivering better time-to-solution and circuit depth compared to QAOA solutions.

What commercial applications will IonQ's (IONQ) new quantum algorithm support?

The algorithm supports applications in energy grid optimization, financial risk management, logistics, drug discovery, clinical trials, and manufacturing operations.

Which IonQ (IONQ) systems were used to test the new quantum algorithm?

The hybrid quantum algorithm was tested on IonQ's Aria and Forte systems, which were used inside the optimization loop.

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