Oak Ridge National Laboratory Adds IQM Resonance Quantum Cloud Service to Its Quantum Computing User Program

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Insider Brief

  • End-users will access IQM’s Crystal and Star topologies through Oak Ridge National Laboratory’s (ORNL) Quantum Computing User Program (QCUP),
  • IQM Crystal is a high-fidelity quantum processing unit (QPU) with square-lattice topology while IQM Star is a QPU based on star-shaped topology with a central resonator to drive cutting-edge research. 
  • This announcement lays the groundwork to offer IQM Resonance quantum cloud service to QCUP users in the US and worldwide long term. 

PRESS RELEASE — IQM Quantum Computers (IQM), a global leader in designing, building, and selling superconducting quantum computers, today announced that its quantum cloud service ‘IQM Resonance’ will be available to Oak Ridge National Laboratory (ORNL), the largest U.S. Department of Energy science and energy laboratory, for accelerating research. 

Through ORNL’s Quantum Computing User Program, end-users such as academic institutions, researchers, scientists, and developers will access IQM Crystal, a high-fidelity quantum processing unit with square-lattice, and IQM Star, a unique star topology with a central resonator, to explore computational research applications. 

QCUP, which facilitates access for more than 400 users worldwide, seeks to support the growth of quantum information science ecosystems and provide a broad spectrum of user access to the best available quantum computing systems. 

Introducing TQI 2.0Introducing TQI 2.0

This announcement underscores both organizations’ commitment to push the boundaries of computational capabilities and advancing scientific research, marking the beginning of offering a quantum cloud service to QCUP end-users’ long term. 

IQM’s quantum computers have demonstrated the advantages of enabling one of the highest levels of connectivity in order to run quantum algorithms with improved accuracy. In addition, the long-range high-connectivity architecture of IQM Star QPU promises more efficient quantum error correction codes compared to standard implementations. 

“By providing ORNL direct access to our systems, we are aiding their mission to deliver high-performance superconducting quantum computers for tackling significant challenges,” said IQM’s Co-CEO, Mikko Välimäki. “This also positions us within the US quantum ecosystem, showcasing our commitment to advancing quantum technology on a global scale.” 

“Our Quantum Computing User Program is dedicated to exploring new frontiers of quantum research,” said Travis Humble, Director of the Quantum Science Center at ORNL. “By granting researchers access to leading-edge technology, we’re enabling them to pioneer new approaches to tackling complex scientific questions.”

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MENTIONED IN THE ARTICLE

IQM
CompanyFinland · 101-500 FTEs

IQM Finland builds scalable hardware for universal quantum computers, focusing on superconducting technology.

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Oak Ridge National Laboratory Quantum Computing Institute (ORNL)
GovernmentUnited States · 5001-10000 FTEs

The Oak Ridge National Laboratory (ORNL) Quantum Computing Institute is a lab-wide collaboration that promotes the use of theory, computation, and experiment in the research and development of quantum computing for scientific applications of next-generation computer systems. The lab has various partnerships across the quantum ecosystem with major players such as IonQ, the EU Quantum Flagship and GENCI project, Qubitekk, Aliro Quantum, and many more.

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U.S. Department of Energy (DOE)
GovernmentUnited States · 10001+ FTEs

The mission of the Department of Energy is to ensure America's security and prosperity by addressing its energy, environmental, and nuclear challenges through transformative science and technology solutions. In September, 2022, Research supported by ASCR demonstrated that classical machine learning algorithms can accurately predict ground state properties and classify quantum phases of matter using data generated from quantum experiments. In November, 2022, Research supported by Q-NEXT revealed that the performance of a sensor network is constrained by the intrinsic noise associated with the quantum states used in the network. In March, 2023, Research funded by DOE SC NP achieved the first experimental observation of entanglement between dissimilar particles, specifically positive and negative pions. In August, 2023, Research funded by DOE SC BER demonstrated strong preservation of entanglement in a two-photon absorption process involving organic molecules, offering a new approach for developing quantum light-based spectroscopy and microscopy.

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