South Korea Launches Hangang Supercomputer, Plans Quantum Integration

thequantuminsider.com Nov 3, 2026

South Korea Launches Hangang Supercomputer, Plans Quantum Integration

Curated by Shubham · TechCapsules · Nov 3, 2026

AI-summarised brief · reviewed before publication

South Korea’s sixth national supercomputer, Hangang, entered full operation on Feb. 2 at the Korea Institute of Science and Technology Information (KISTI) in Daejeon. Equipped with 8,496 Nvidia GH200 GPUs and 9,936 CPUs, the system delivers theoretical performance 24 times that of its predecessor Nurion, with storage capacity ten times larger and network speed four times higher. Direct liquid‑cooling reduces power‑usage effectiveness to about 1.15, improving energy efficiency. The Ministry of Science and ICT plans to link Hangang with a quantum computer by mid‑2027, creating a hybrid platform for accelerated AI‑driven research. Resource allocation will devote 55 % to R&D innovation, 30 % to national strategic projects and 15 % to industrial innovation, with official service beginning Dec. 16 for domestic scientists and firms nationwide.

💡 Why It Matters

· By pairing a top‑10 supercomputer with quantum hardware, South Korea aims to leapfrog conventional HPC limits and accelerate breakthroughs in AI and complex simulations.
· The hybrid architecture positions the nation to attract high‑value research projects and strengthen its strategic tech sovereignty.

Capsules Quantum Computing

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Experiment Supports Theoretical Path to Topological Quantum Computing

Researchers at the University of Cologne observed quantum states in a topological insulator–superconductor Josephson junction that match theoretical predictions for topological superconductivity. Using tunneling spectroscopy, they detected highly transmissive Andreev states across varying charge‑carrier densities and under magnetic fields, consistent with models by Fu and Kane and simulations from RWTH Aachen. The findings confirm the expected interaction between superconductivity and topological surface states but do not yet show the critical energy‑gap closing and reopening that would prove a topological phase transition. Further high‑resolution measurements are planned to verify this transition.

💡 The alignment of experimental data with long‑standing theory strengthens confidence in topological insulators as a platform for fault‑tolerant qubits, potentially accelerating the development of more reliable quantum processors.

quantumcomputingreport.com · Nov 3

Quint Computing Secures €9.1M ($10.2M USD) Seed Round to Scale Hardware-Level Quantum…

Quint Computing, a quantum hardware startup based in Erlangen, secured €9.1 million ($10.2 million USD) in a seed round, the largest first financing for a German quantum firm. The funding, led by Vsquared Ventures and joined by Quantonation, Nucleus Capital, Faber, Vanagon Ventures, ZOHO.VC, and IQM co‑founder Mikko Möttönen, is complemented by a €2.2 million European Innovation Council Pathfinder grant. The capital will develop Quint’s patented architecture that embeds continuous electrical control into processors, aiming to cut physical error‑correction overhead by up to 100× and reduce cryogenic heat and wiring.

💡 The investment signals a decisive shift toward hardware‑level error mitigation, potentially accelerating practical quantum computing by lowering qubit counts and operational costs. It also underscores European commitment to advancing quantum technology outside the U.S. and China.

thequantuminsider.com · Nov 3

Chicago Quantum Exchange Appoints Aaron Fluitt as CEO

Aaron Fluitt has been named the second CEO of the Chicago Quantum Exchange (CQE), succeeding Kate Timmerman after eight years of leadership. Fluitt brings experience from Argonne National Laboratory, PsiQuantum, and the Boston Consulting Group, having secured a $115 million DOE award for the Q‑NEXT quantum research center and launched Argonne’s Materials Manufacturing Innovation Center. He joins the CQE as it expands quantum manufacturing, workforce development, and commercialization efforts, including the $55 million Bloch Quantum Tech Hub.

💡 Fluitt’s proven ability to unite academia, industry, and national labs positions the CQE to accelerate the Midwest’s emergence as a global quantum innovation hub. His leadership could fast‑track the transition of quantum research into commercial products.

thequantuminsider.com · Nov 3

FirstQFM Says Quantum System Beats Classical Forecasting Benchmarks

FirstQFM reported that its quantum reservoir computing (QRC) system, built on a proprietary billion‑parameter foundation model and run on Rigetti’s Cepheus‑1‑108Q hardware, surpassed all classical benchmarks in a financial‑forecasting test. The evaluation, using anonymized data for 43 assets over 600 out‑of‑sample periods, measured next‑day directional accuracy, macro‑F1, cumulative gross portfolio profit and annualized Sharpe ratio. The QRC achieved 52.02% directional accuracy, 51.76% macro‑F1, and delivered 112% higher cumulative gross P&L than the best classical model, with a Sharpe of 1.22 versus 1.02 for the top classical result. It outperformed across 36 of 43 assets on directional accuracy and posted positive profit on 41 assets. A five‑asset subset generated an even higher Sharpe of 1.73, demonstrating quantum advantage for finance applications.

💡 The performance gap gives asset managers a concrete, profit‑driving use case for deploying near‑term quantum processors in real‑world trading strategies.

thequantuminsider.com · Nov 3

EigenOrbit Study Compares 12 Quantum Computing Backends

EigenOrbit’s research team released eigenkit, an open‑source Python library that abstracts quantum algorithm definitions from the execution provider, enabling a single circuit to run on multiple simulators and hardware through a common interface. The accompanying study benchmarked twelve backends—including IBM’s Heron processor and IQM’s Emerald chip—across a range of workloads. Results show no backend dominates; simulator speed varies with circuit size, structure, and batching, while hardware performance hinges on how closely a circuit’s topology aligns with a processor’s physical connectivity. eigenkit supports eight simulators and four hardware routes, offers backend‑independent gradient computation, and integrates with NumPy, PyTorch and scikit‑learn. The work highlights the growing need for portable quantum software as the ecosystem diversifies. for researchers aiming to optimize quantum experiments.

💡 By letting developers swap backends without rewriting code, eigenkit turns hardware selection into a performance experiment rather than a development bottleneck, accelerating the path to practical quantum advantage.

quantumcomputingreport.com · Nov 3

Universal Quantum Unveils the iQPU: Foundry-Fabricated Trapped-Ion Processor Engineered for Modular Scaling

Universal Quantum has launched its iQPU, a monolithic trapped‑ion processor that integrates control electronics on the same silicon substrate to remove the external wiring bottleneck that limits scaling. The iQPU will power two quantum computers being delivered to the German Aerospace Center under a €67 million contract. By using a Quantum Charge‑Coupled Device layout with dynamic ion shuttling, the chip executes gates without dedicated laser or RF lines for each qubit, and the UQConnect interface links multiple modules while preserving register coherence. The architecture enables modular expansion beyond a single chip’s thermal and physical limits. The product follows a recent $100 million Series A round and places Universal Quantum in competition with Quantinuum and IonQ as the industry moves toward multi‑core trapped‑ion systems.

💡 By erasing the wiring wall, the iQPU makes truly modular trapped‑ion machines feasible, opening a path to larger, more reliable quantum processors for high‑stakes applications such as aerospace navigation.