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TU Delft Integrates Quantum Inspire with Supercomputer DelftBlue for Hybrid Quantum-Classical Computing Research

TU Delft Integrates Quantum Inspire with Supercomputer DelftBlue for Hybrid Quantum-Classical Computing Research

TU Delft has successfully integrated its Quantum Inspire platform, an open cloud quantum computer, with its high-performance supercomputer, DelftBlue. This integration allows researchers to combine classical computing for preparation and analysis with quantum hardware for executing quantum algorithms. Zeynab Kaseb, a researcher at TU Delft, was the first to test this integrated infrastructure by studying power flow in a small electrical network. DelftBlue handled the mathematical objective and optimized circuit parameters using a simulator, while Quantum Inspire provided access to QuTech's Tuna-17 quantum processor for running the quantum circuits. The measurements from Tuna-17 were then decoded and analyzed, demonstrating a complete workflow from classical calculation to quantum execution and back to analysis. This hybrid approach enables researchers to test quantum algorithms on real hardware while leveraging classical computing for essential preparatory and evaluative tasks.
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Quantum Computing to Complement, Not Replace, High-Performance Computing in Hybrid Systems

Quantum Computing to Complement, Not Replace, High-Performance Computing in Hybrid Systems

Quantum Computing to Complement, Not Replace, High-Performance Computing in Hybrid Systems
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Leibniz Supercomputing Centre Navigates Quantum Computing's Evolution Towards Practical Scientific Tool

Leibniz Supercomputing Centre Navigates Quantum Computing's Evolution Towards Practical Scientific Tool

The Leibniz Supercomputing Centre (LRZ) is actively involved in the evolving landscape of quantum computing, operating two Euro-Q-Exa systems on behalf of the EuroHPC Joint Undertaking. While quantum computers can operate independently, they still require control through classical systems and access via portals like LRZ's Munich Quantum Portal. LRZ emphasizes projects that include a classical High-Performance Computing (HPC) component when allocating computing time. The center is installing a new Euro-Q-Exa system expected to provide around 150 qubits capable of entanglement and gate operations at a defined quality level. This larger system is anticipated to make quantum computing substantially more interesting from an applications perspective, particularly for data-intensive fields such as Earth observation, chemistry, and materials science. Researchers are gaining opportunities to develop new algorithms for computation and data processing, moving quantum computing from an experimental field to a practica...
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Finland Pioneers Hybrid Computing Integration with Quantum and Supercomputer Systems

Finland Pioneers Hybrid Computing Integration with Quantum and Supercomputer Systems

Finland has emerged as a leader in hybrid computing, integrating quantum computers with supercomputers to tackle complex scientific challenges. As part of the national FiQCI quantum computing infrastructure, VTT’s Helmi quantum computer was connected to the LUMI supercomputer in 2022, making Finland one of the first countries globally to achieve such integration. Since then, LUMI has also been connected to VTT’s Q50, Aalto University’s Q20, and the pan-European VLQ quantum computer. The approach emphasizes choosing the right computing method for the right task, combining the strengths of AI for estimations, supercomputers for refining solutions, and quantum computers for handling calculations that are too complex for conventional machines. A new 150-qubit Q150 quantum computer, built by IQM, has recently been installed at VTT’s facilities, with plans for LUMI-IQ to introduce more fault-tolerant qubits as an integral component of the European Union’s largest AI Factory.
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U.S. Department of Energy Funds Quantum Computing Development to Address AI's Energy Consumption

U.S. Department of Energy Funds Quantum Computing Development to Address AI's Energy Consumption

The United States Department of Energy (DoE) is investing $215 million to accelerate the development of reliable quantum computers, aiming to position the U.S. as a leader in this emerging technology. This initiative is partly driven by the escalating energy demands of artificial intelligence (AI), with global electricity generation for data centers projected to exceed 1,000 terawatt-hours by 2030. Experts suggest that quantum computing could offer a more energy-efficient solution for specific AI workloads, potentially reducing the massive power consumption associated with large language models. The DoE has launched the Quantum Genesis Q Competition, inviting proposals for quantum computers with at least 100 logical qubits capable of fault-tolerant operations. Additionally, the Quantum High-Performance Computing Validation and Verification Testbed Lab Call seeks proposals from national laboratories to develop tools for verifying the performance of fault-tolerant quantum computers.
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AMD Highlights El Capitan Supercomputer's Role in National Security Missions

AMD Highlights El Capitan Supercomputer's Role in National Security Missions

AMD has emphasized the significant role of its El Capitan supercomputer in supporting national security missions through AI-assisted simulation. The company detailed how El Capitan, alongside other advanced systems like Frontier, LUMI, and Lux, is operational and contributing to critical scientific and national security objectives. AMD's focus is on providing comprehensive computing solutions that integrate tailored hardware, software, and ecosystem support to address complex challenges. The El Capitan supercomputer is specifically noted for its application in AI-assisted simulations, which are crucial for national security. This development is part of AMD's broader strategy to advance exascale computing and AI for science, utilizing its Instinct MI430X GPUs and ROCm platform to deliver high-performance computing capabilities. The company asserts that these supercomputers are designed to handle diverse computing models required for fields such as climate science, drug discovery, advanced manufacturing, and...
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IBM Quantum and Partners Advance Hybrid Computing for Scientific and Industrial Impact

IBM Quantum and Partners Advance Hybrid Computing for Scientific and Industrial Impact

IBM Quantum and Partners Advance Hybrid Computing for Scientific and Industrial Impact
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Purdue Engineers Advance Quantum Computing with Light-Speed Capabilities

Purdue Engineers Advance Quantum Computing with Light-Speed Capabilities

Purdue University engineers have made significant advancements in quantum computing, specifically in developing quantum photonic integrated circuits that could enable light-speed computing. This research addresses major challenges in fabricating chips that allow photons to function as qubits, the basic units of quantum information. Photons offer advantages over other quantum particles, such as operating at the speed of light and maintaining stability at room temperature, unlike other qubits that require supercold environments. Professors Vladimir Shalaev and Alexandra Boltasseva lead the work, focusing on creating reliable single-photon sources and developing single-photon switches. Their team has demonstrated a method to emit single photons consistently using silicon nitride and has built a switch capable of operating at the single-photon level. Additionally, a team led by Professor Alexander Kildishev and graduate student Pranshu Maan has developed an approach to predict and mitigate quantum decoherence,...
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Deloitte Consulting Seeks Quantum Product Engineering Manager to Scale Quantum Computing Offerings

Deloitte Consulting Seeks Quantum Product Engineering Manager to Scale Quantum Computing Offerings

Deloitte Consulting Seeks Quantum Product Engineering Manager to Scale Quantum Computing Offerings
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RIKEN and Quantinuum Upgrade Reimei Quantum Computer, Advancing Hybrid Supercomputing in Japan

RIKEN and Quantinuum Upgrade Reimei Quantum Computer, Advancing Hybrid Supercomputing in Japan

RIKEN and Quantinuum have upgraded the Reimei quantum computer to Quantinuum’s System Model H2, significantly advancing their hybrid supercomputing platform. This upgrade aims to bring quantum advantage closer by combining quantum and classical data processing. The platform now integrates Reimei, the supercomputer Fugaku, and the ROQUO GPU supercomputer, creating a world-leading system for scientific discovery. Two frontier projects are currently underway: one focusing on quantum materials discovery using quantum simulation, classical tensor networks, and generative AI, and another on creating a scalable hybrid workflow for biomolecular chemistry to simulate excited-state properties of complex molecules. These projects are designed to move hybrid computing beyond infrastructure demonstrations towards high-value scientific applications.
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AMD Launches EPYC 9006 SP7 Processors to Power Next-Generation AI and HPC Platforms

AMD Launches EPYC 9006 SP7 Processors to Power Next-Generation AI and HPC Platforms

AMD Launches EPYC 9006 SP7 Processors to Power Next-Generation AI and HPC Platforms
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D-Wave Secures $100 Million CHIPS Act Funding, Reports Q3 2026 Revenue Increase

D-Wave Secures $100 Million CHIPS Act Funding, Reports Q3 2026 Revenue Increase

D-Wave Secures $100 Million CHIPS Act Funding, Reports Q3 2026 Revenue Increase