OTI Lumionics and Samsung Advanced Institute of Technology emulate 200 qubits on standard CPU hardware

OTI Lumionics and the Samsung Advanced Institute of Technology have achieved quantum emulation of over 200 qubits using a single commercial AMD CPU chip with 32 processes and 800GB of RAM, reducing the hardware demands for quantum simulation, the company says. Published in the Journal of the American Chemical Society, the research benchmarks an optimized C++ version of the iQCC method, delivering a 90-fold performance increase and reducing complex 112-qubit calculations to approximately one hour. “We are looking at a shift where accuracy is no longer limited by hardware size,” said Dr. Scott Genin, VP of Materials Discovery at OTI Lumionics, explaining that this work aims to accelerate materials discovery for OLED displays. iQCC Method Achieves 200+ Qubit Emulation on Standard CPUs The optimized C++ version of the Iterative Qubit Coupled Cluster (iQCC) method utilized approximately 800GB of RAM and 32 CPU processes to reach this scale, a substantial reduction in hardware demands. The iQCC method’s efficiency was further validated by a 90x performance increase over traditional CPU environments; complex 112-qubit ground-state calculations, previously time-consuming, were completed in approximately one hour. This speedup stems from a focus on algorithmic efficiency rather than solely pursuing hardware advancements. The research team benchmarked the iQCC method against classical approaches across 14 OLED emitter materials, revealing its ability to tackle problems where conventional methods falter. Dr. Genin stated, “For the materials we tested, standard classical methods simply broke down and produced unusable results.” Our approach succeeded where those methods failed, proving we can tackle the most complex strongly correlated problems without the need for a supercomputing cluster to emulate these types of calculations with high fidelity. This breakthrough has implications extending beyond theoretical chemistry, promising to accelerate materials discovery for consumer electronics. The ability to perform high-fidelity quantum emulation on readily accessible hardware democratizes access to these powerful algorithms, allowing researchers with standard server setups, or even high-end desktops, to participate in advanced materials design. “The present study establishes a foundational framework for accelerated materials design and simulation, offering a reliable and high-efficiency alternative to traditional trial and error discovery methods,” said Dr.

Tommy Ohyun Kwon, Principal Researcher at the Samsung Advanced Institute of Technology. By combining OTI Lumionics’ algorithms with SAIT’s materials expertise, the collaboration aims to rapidly screen and optimize materials for brighter, more efficient OLED displays, circumventing the limitations of traditional supercomputing-dependent workflows. We are looking at a paradigm shift where accuracy is no longer limited by hardware size. Dr. Scott Genin, VP of Materials Discovery at OTI Lumionics Source: https://www.globenewswire.com/news-release/2026/08/18/3346868/0/en/oti-lumionics-and-samsung-advanced-institute-of-technology-achieve-200-qubit-quantum-emulation-on-readily-accessible-hardware.html Stay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Rusty Flint Rusty is a quantum science nerd. He's been into academic science all his life, but spent his formative years doing less academic things. Now he turns his attention to write about his passion, the quantum realm. He loves all things Quantum Physics especially. Rusty likes the more esoteric side of Quantum Computing and the Quantum world. Everything from Quantum Entanglement to Quantum Physics. Rusty thinks that we are in the 1950s quantum equivalent of the classical computing world. While other quantum journalists focus on IBM's latest chip or which startup just raised $50 million, Rusty's over here writing 3,000-word deep dives on whether quantum entanglement might explain why you sometimes think about someone right before they text you. (Spoiler: it doesn't, but the exploration is fascinating) Latest Posts by Rusty Flint: CrowdStrike, Palo Alto, Microsoft face quantum encryption demands August 18, 2026 SEALSQ chip uses quantum security for India’s transit & digital payments August 18, 2026 TU Wien builds quantum microscope with built-in ion traps August 18, 2026