<img src="https://ml-eu.globenewswire.com/Resource/Download/eccc68cd-52eb-423e-873d-407a7d18dada?size=2" nborder="0" align="left" hspace="5" vspace="5" title="Classiq Logo Green on Black background.png" alt="Classiq Technologies LTD"/>Collaboration expands quantum computing in LATAM, supporting quantum machine learning for digital pathologySANTIAGO, Chile, and BOSTON, June 04, 2026 (GLOBE NEWSWIRE) -- <a href="https://www.globenewswire.com/Tracker?data=Iw6rzZ2ghqD19W1KwsU7kSl1X5_IAxFEPs0ouEgHZFiKIXAmUpgtCG2XtmeJiOFpbVcoUrzpFt1fIOIA95vJUQ==" rel="nofollow" target="_blank" title="Classiq">Classiq</a> and Pontificia Universidad Católica de Chile (<a href="https://www.globenewswire.com/Tracker?data=0XV4KJYuEFoh4DwCIsxAzJTxe2SP0UNPGnSmjSS43eQX2EGLfCgRmiRxkphv7BSdrphvCPYvmHy9PhLlflVp-g==" rel="nofollow" target="_blank" title="UC Chile">UC Chile</a>) today announced a joint research project to develop hybrid quantum algorithms for biomedical image analysis, assisted by classical machine learning and the <a href="https://www.globenewswire.com/Tracker?data=qvsH1hkZEbpfr3aO0zbr6BGRYVqplP96CzFIiX6XfaFLdN_7Q9IPrFmlwnwR472NBqdWVbasQkrnm75Q5mgzhL0GVSgw-wdArmLeQ85kymw=" rel="nofollow" target="_blank" title="">NVIDIA CUDA-Q</a> platform for quantum-classical computing. The 12-month engagement, titled “Enhancing Pathology through Quantum Computing,” is funded through Avanza UC 2025, the Internal Research and Creation Competition of UC Chile. To the collaborators’ knowledge, it is the first announced consortium in Latin America to combine quantum computing, machine learning and computational pathology. The engagement marks quantum computing’s and Classiq’s growing presence in Latin America and reflects the company’s expanding work with academic, research and public-sector institutions, including in health innovation. It also reinforces Chile’s emerging role in quantum computing, AI and advanced technology development. <iframe class='gnw-snippetgallery' data-type='gnw-snippetgallery_en_1' style="width:100%; height:600px; border:0px;" src="https://www.globenewswire.com/Tracker?data=mOpW_hdDHTi34NLLEjqBBxN9BOXR4MBWBogM39sBnr15mZT3U_RkiNy5H3MCJt6uW6mzVbwDZrvihVvB3y4piq_yV4r3X4QSFn45owQu_eSjh-ExE0saH-msndsQkjuz" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen=""></iframe> <a href="https://www.globenewswire.com/Tracker?data=4eUa_0YGPmKXvV6XE4lvqajyi73uZ_tbXGAq_LYD7rFcecW0Yyh8cZBzfGyr4suTm4Bsl5Wo35Z6TWfCmORxS75u4y_GNB29kZO48JAGeAbyEneIuONRL8TUih1L8TLx0GMJtNdhH3m2ol4gOX4AWmYdCPk9hagxbPwekZIOkznXgDBoneja73ju0HFYZL47Wef-GhGkz6RHPqBevFxT0Mo0nB_7yyodtGx5r7Q1sUw=" rel="nofollow" target="_blank" title="A Media Snippet accompanying this announcement is available by clicking on this link.">A Media Snippet accompanying this announcement is available by clicking on this link.</a> Quantum machine learning applies quantum computing methods to machine learning problems, including classification, pattern recognition and complex data analysis. The initial project focus is on renal pathology, an area of growing public health importance in Chile and across Latin America. This includes applying quantum machine learning to computational pathology, with an initial emphasis on kidney lesion classification, automated glomerular segmentation and semantic pattern search across full histological slides. The work will be conducted in collaboration with Dr. Luciano Rebouças and Dr. Washington Conrado, researchers at Fundação Oswaldo Cruz (FIOCRUZ) and professors/researchers at Universidade Federal da Bahia (UFBA) in Brazil, combining expertise in digital pathology, computer vision and biomedical data analysis using curated histopathology datasets, provided by the Brazilian institutions. The research will leverage the Classiq quantum computing software <a href="https://www.globenewswire.com/Tracker?data=6ZHhFeUqkNi1OoBtfk07dN5l-aotFmjkvvB9r9PzvnJxW1hOUWLoGdrAbflnzjYnxrdPSHEd95Bz1kJ8u_Tv-cc91XUh7FRQP91D33VMRPI=" rel="nofollow" target="_blank" title="platform">platform</a> and the NVIDIA CUDA-Q platform to leverage a seamless workflow from algorithm development through to simulation and execution. “Latin America has the scientific talent, institutional momentum and public health needs to support this next stage of quantum computing applications,” said <a href="https://www.globenewswire.com/Tracker?data=AIBk2LkcPX1GG4n_iRwJgPFBcX3jtJQKuMSNXDDkn0gHr65-rzrxanYxo48hHuyCz9vd5RkbUva02RuZfxhRxcuaGKrz4S3bHiF-ZwkXc08=" rel="nofollow" target="_blank" title="Nir Minerbi">Nir Minerbi</a>, CEO and co-founder of Classiq. “This collaboration brings together quantum software engineering, machine learning and biomedical data expertise in a workflow and project that can help strengthen the regional quantum ecosystem while exploring a practical research path for health.” The project will be led by Dr. Dardo Goyeneche of the Faculty of Physics at Pontificia Universidad Católica de Chile. Dr. Goyeneche is the founder and director of QuDIT, the Quantum Development of Information Theory group at UC, which brings together more than 20 students working on quantum information theory and quantum computing. He also directs Project QuAntü, Chile’s first universal quantum computer initiative, currently under construction since December 2025 at the UC Faculty of Physics. The team also includes Dr. Daniel Uzcátegui from Universidad Católica de la Santísima Concepción (UCSC), Chile, whose research at the interface between machine learning and quantum information theory provides a key bridge between the two core domains of this collaboration. “This project connects fundamental quantum research with an important biomedical challenge,” said Dr. Goyeneche. “By working with Classiq and collaborators in Chile and Brazil, we are creating a regional platform for quantum machine learning in health, while giving researchers experience with modern quantum software engineering workflows used internationally in research and industry.” The research team will use Classiq’s quantum software platform to model, synthesize and optimize quantum convolutional neural networks, variational quantum classifiers and quantum kernel methods. Selected algorithms will be simulated on NVIDIA AI infrastructure, executed on IonQ quantum hardware, and benchmarked against classical machine learning approaches using standard computer vision metrics. The collaboration aligns with Chile’s National Strategy for Quantum Technologies 2025–2035, a recently launched government initiative aimed at strengthening the country’s quantum ecosystem and expanding national capabilities in advanced computing, secure communications and scientific innovation. The project also supports UC’s efforts to expand quantum computing research and education as part of the Faculty of Physics’ 2025–2029 strategic plan. About Pontificia Universidad Católica de Chile Pontificia Universidad Católica de Chile (UC Chile) is one of Latin America's leading research universities, dedicated to the creation and transfer of knowledge and to providing a values-based education rooted in its Catholic tradition. With rigorous academic standards and international best practices adopted from top universities worldwide, UC Chile maintains a permanent commitment to excellence in service to the Church and society. Ranked 116th globally and first in Chile by the QS World University Rankings 2026, UC Chile also leads the country in invention patent applications filed by academic institutions, reflecting a strong focus on research, innovation, and technology transfer. The University is made up of 18 faculties, which include 26 schools and institutes, 7 interdisciplinary institutes, the UC College program, and the Villarrica Campus, together covering all areas of knowledge. About Classiq Classiq is the leading quantum computing software company, providing the technology that makes it practical for enterprises and researchers to access and harness quantum computing. Classiq’s quantum software engineering platform transforms high-level functional models into optimized, hardware-ready quantum circuits automatically. This enables teams to develop algorithms faster, optimize them for cost and performance, and make quantum applications usable sooner, without deep hardware expertise. Through partnerships with global leaders in quantum cloud computing, including major hyperscalers and hardware providers, Classiq ensures that customers including <a href="https://www.globenewswire.com/Tracker?data=oga0_B0bjeWdWIN9geV6eH3KGwc99giUQoRWNxkS1JX9SqMkI_OIxRCmbTxU23b8kRat1yE80ZMFvoczMe8zpRNONXcSK0rmTyH_82uykFfCmuPwn4lQJyeukT9YL1qRy96Fp-cIuyE_AA2vbbCOsvO3CMyS8rfkrsFsp3ZOCcOO4K32E98Y9x0WdLa04xU-gpdv-gM1fYk1E72nQvsbOlms2087oDcPQaOsawe9wTn0D-6ztn05olYblu01m8tc82Mmr2WoYpmNy7Xe4dOb6Q==" rel="nofollow" target="_blank" title="Rolls Royce">Rolls Royce</a>, <a href="https://www.globenewswire.com/Tracker?data=CPiu7Z25MaOXjKhrJTc8kgP0gVr8woKDQTqbAog5Xh1H6ZxoNKMMo75sOee273AKMpoaHVavzv-BsurW5CZkW2ohukaj3zxAgofcMFI1a4HByN7kjCf9392BrROBwvtmjOUwNG9vV91GAwEx9G18j_0bNE1M_Yyz2B1Thb2cm_CeMHJ3V4ZbLZ0g_fVduf5kyg4PaSx_H10SOmw4rg1FZwLyBm3lHW5FT2EY1cUy3-Q=" rel="nofollow" target="_blank" title="Comcast">Comcast</a>, <a href="https://www.globenewswire.com/Tracker?data=dZABPahRaOIR9JLd7DBQ2DNuT_6C_lVTCYeV898RJDSDdYbqgjT8EtrCfW9yFSbaQA5ld50YwoHII6uG0ARNtSjNx9DYmaZzfumJiTF_AlpaLEG5iw1647GOJVbsjw2NNatvhvGsmXqingEK7Hb-iFER1F5WaaHfKWZmBLQZiFo=" rel="nofollow" target="_blank" title="The BMW Group">The BMW Group</a>, <a href="https://www.globenewswire.com/Tracker?data=o0aVxIkq9J4glrJQyRlwcXYimavWcHjg08cviwWTyDRQiqhIBz9Tr_RX4XISLsL_sboOZFyXPHBbiuoDdR7uprxGny4o7ampvejZ29Pbn-bvWeJBZpJpNsYnfDchwugrhgW1kMxRP4dLF0qogwhBYQ==" rel="nofollow" target="_blank" title="Intesa Sanpaolo">Intesa Sanpaolo</a> and many others, can design once and deploy anywhere. Its synthesis technology workflow enables organizations to produce scalable, efficient quantum code that accelerates research and reduces execution cost. Classiq, a Fast Company ‘Next Big Thing in Tech 2025’ award winner, is backed by leading global VCs and CVCs, including SoftBank, AMD, Qualcomm and HSBC. Classiq is the global category leader at the forefront of enabling advanced quantum computing applications. 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Classiq and UC Chile Launch Quantum AI Research for Biomedical Image Analysis Leveraging Integration with NVIDIA CUDA-Q

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