Quandela and KRIBB partner to speed up drug discovery with quantum computers

Quandela and the Korea Research Institute of Bioscience and Biotechnology (KRIBB) formalized their collaboration on September 8, 2026, with a Memorandum of Understanding signed during South Korean President Lee Jae-myung’s state visit to Paris. The partnership will combine Quandela’s photonic quantum computing with KRIBB’s bioscience expertise to accelerate drug discovery and biotechnology research. “Our goal is to give researchers new tools for understanding the complexity of biological systems,” says Suk-Yoon Kwon, President at KRIBB, as the two organizations pioneer research models integrating artificial intelligence, classical computing and quantum technologies.

Photonic Quantum Computing Applied to Biotechnology Research

KRIBB researchers have already shared initial findings generated on Quandela’s photonic quantum computing platform, providing a foundation for an upcoming scientific publication detailing the collaborative work. The focus is on refining how researchers prioritize experimental validation, specifically within the complex processes of drug discovery, cell therapy design, and identifying genetic targets. The collaboration extends beyond simply applying quantum computing as a standalone solution. Both organizations are developing hybrid workflows integrating artificial intelligence, classical computing and Quandela’s photonic quantum computing technology.

“Quantum computing becomes meaningful when it helps researchers solve real-world problems. This many-sided approach aims to address biological problems characterized by vast search spaces and complex interactions, areas where conventional computational methods often struggle.

Quandela’s commitment to industrial deployment, with systems operational since 2023, underpins the practical focus of this partnership, differentiating it from purely theoretical quantum computing initiatives. The company is simultaneously developing future generations of fault-tolerant quantum computers designed to scale through the integration of thousands of photonic components.

KRIBB, as South Korea’s national reference institute for biosciences and biotechnology, brings established expertise in life sciences to the project, intending to accelerate the translation of computational insights into validated experimental results. Suk-Yoon Kwon, President at KRIBB, stated, “By combining KRIBB’s bioscience expertise with Quandela’s photonic quantum technology, we aim to accelerate the path from computational insight to experimental validation.” The partners will analyze the initial findings as a potential breakthrough use case for photonic quantum computing within biotechnology, assessing reproducibility and scalability for broader applications in drug discovery.

Quantum computing becomes meaningful when it helps researchers solve real-world problems. With KRIBB, we are developing hybrid workflows that combine AI, classical computing and photonic quantum computing to create practical, reproducible applications for biotechnology and drug discovery.

Sam Yoosuk Kim, General Manager of South Korea at Quandela

Hybrid Computing Workflows for Drug Discovery & Analysis

This agreement transcends a simple technology transfer, aiming to integrate photonic quantum computing directly into KRIBB’s established bioscience workflows for projects including targeted protein degradation and rare disease therapeutics. A core principle of this collaboration is a hybrid computing model that uses the strengths of multiple computational approaches, rather than relying solely on quantum processing. Artificial intelligence algorithms will initially analyze large biological datasets, narrowing the field of potential candidates before classical computers handle simulations suited to their architecture.

Photonic quantum processors will then tackle the most computationally intensive optimization problems, such as designing PROTAC candidates for targeted protein degradation, a promising area of cancer research. The collaboration also extends to cellular therapy optimization and identifying new therapeutic targets for infectious diseases, demonstrating a broad scope of application for this integrated approach.

Our goal is to give researchers new tools for navigating the complexity of biological systems. By combining KRIBB’s bioscience expertise with Quandela’s photonic quantum technology, we aim to accelerate the path from computational insight to experimental validation.

Suk-Yoon Kwon, President at KRIBB
Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: