Tag: QML

  • Haiqu Appoints Quantum Commercialization Leader Denise Ruffner to Drive Agentic OS Growth

    Haiqu Appoints Quantum Commercialization Leader Denise Ruffner to Drive Agentic OS Growth

    Haiqu has appointed veteran quantum commercialization executive Denise Ruffner as Vice President of Business Development and Commercial Operations Worldwide. This addition to the leadership team strengthens its efforts towards expanding adoption of its recently launched Agentic Operating System.

    Ruffner brings experience commercializing quantum technologies across several of the industry’s most prominent hardware and software companies. She was an early executive at IBM Quantum, where she developed the company’s Quantum Ambassador Program and Startup Program. The initiatives trained more than 350 ambassadors to educate customers around the world about IBM’s quantum computing strategy and technology.

    She later served as the first Chief Business Officer of Cambridge Quantum Computing, now part of Quantinuum, where she helped secure major enterprise customers, including JPMorgan Chase. Ruffner also held senior commercial roles at IonQ and Atom Computing, helping both companies acquire their first customers. She currently serves as a business advisor to Qilimanjaro.

    Her appointment comes as Haiqu is focused on getting its technology from product development into broader scientific and enterprise use.

    “Since the inception of commercial quantum computing, I’ve had the privilege of helping bring many of our industry’s breakthrough technologies to market,” Ruffner said. “I believe the exceptional team at Haiqu has created something truly impactful.”

    Haiqu’s Agentic OS combines agentic artificial intelligence with the company’s proprietary quantum middleware. The system is designed to assist research and development teams with identifying use cases, selecting appropriate experimental approaches and iterating on quantum workloads.

    The company argues that more capable software can help researchers extract useful results from current quantum devices without waiting for fully fault-tolerant systems. Haiqu says its hardware-agnostic technology can enable applications to execute up to 100 times more operations on existing devices than competing approaches.

    The addition of Ruffner reflects an increasingly important challenge for quantum companies, which is translating technical progress into repeatable commercial adoption. As the industry matures, companies must not only demonstrate that their technology works, but also identify the customers, partnerships and workflows where it can provide practical value.

  • Classiq and UC Chile Launch Quantum Machine Learning Project for Biomedical Image Analysis

    Classiq and UC Chile Launch Quantum Machine Learning Project for Biomedical Image Analysis

    PRESS RELEASE — Classiq and Pontificia Universidad Católica de Chile (UC Chile) today announced a joint research project to develop hybrid quantum algorithms for biomedical image analysis, assisted by classical machine learning and the NVIDIA CUDA-Q 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.

    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 platform 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 Nir Minerbi, 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 Rolls Royce, Comcast, The BMW Group, Intesa Sanpaolo 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. Follow Classiq on LinkedIn, X or YouTube, visit the Slack community, GitHub repository and www.classiq.io to learn more.