{"id":552511,"date":"2026-04-29T15:19:22","date_gmt":"2026-04-29T15:19:22","guid":{"rendered":"https:\/\/www.capgemini.com\/au-en\/?p=552511&#038;preview=true&#038;preview_id=552511"},"modified":"2026-05-04T15:32:06","modified_gmt":"2026-05-04T15:32:06","slug":"a-collaboration-built-to-make-quantum-practical","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/au-en\/insights\/expert-perspectives\/a-collaboration-built-to-make-quantum-practical\/","title":{"rendered":"A collaboration built to make quantum practical"},"content":{"rendered":"\n<header class=\"wp-block-cg-blocks-hero-blogs header-hero-blogs\"><div class=\"container\"><div class=\"hero-blogs\"><div class=\"hero-blogs-content-wrapper\"><div class=\"row\"><div class=\"col-12\"><div class=\"header-title\"><h1>A collaboration built to make quantum practical<\/h1><\/div><\/div><\/div><\/div><div class=\"hero-blogs-bottom\"><div class=\"header-author\"><div class=\"author-img\"><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2021\/05\/Julian-van-Velzen550x305-1-e1664172297190.jpg?w=200&amp;quality=10\" alt=\"Julian van Velzen\" loading=\"lazy\"\/><\/div><div class=\"author-name-date\"><h5 class=\"author-name\">Julian van Velzen<\/h5><h5 class=\"blog-date\">April 29, 2026<\/h5><\/div><\/div><div class=\"brand-image\"><img decoding=\"async\" loading=\"lazy\" src=\"\/wp-content\/themes\/capgemini2025\/assets\/images\/capgemini-engineering-white.svg\" alt=\"capgemini-engineering\"\/><\/div><\/div><\/div><\/div><\/header>\n\n\n\n<section class=\"wp-block-cg-blocks-group undefined section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"grid-container\"><div class=\"col-12 col-md-2\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https:\/\/www.capgemini.com\/insights\/expert-perspectives\/from-design-to-delivery-why-aerospace-and-defense-should-expand-mbse-into-manufacturing\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/shareArticle?url=https:\/\/www.capgemini.com\/insights\/expert-perspectives\/from-design-to-delivery-why-aerospace-and-defense-should-expand-mbse-into-manufacturing\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div><div class=\"article-text article-quote-text\">\n<h2 class=\"wp-block-heading\" id=\"h-integrating-quantum-simulations-into-multiscale-models-for-materials-development\">Integrating quantum simulations into multiscale models for materials development<\/h2>\n\n\n\n<p id=\"h-julian-van-velzen-head-of-capgemini-s-quantum-lab-describes-what-happens-in-a-major-application-area-materials-development-and-chemical-processes-when-quantum-computing-multiscale-modeling-artificial-intelligence-and-classical-computing-are-brought-together-in-a-business-and-academia-partnership-program\">Julian van Velzen, Head of Capgemini\u2019s Quantum Lab, describes what happens in a major application area \u2013 materials development and chemical processes \u2013 when quantum computing, multiscale modeling, artificial intelligence, and classical computing are brought together in a business-and-academia partnership program<\/p>\n\n\n\n<p>In The Karate Kid \u2013 we\u2019re talking here about the original film from 1984 \u2013 there is a sequence in which the young hero, Daniel, has asked his elderly Japanese neighbor, Mr Miyagi, to teach him karate. Mr Miyagi gives him household chores to do: sanding the decking, waxing cars, painting the house and the fence. After four days the boy loses his temper. \u201cYou said you were going to teach me karate!\u201d Mr Miyagi demonstrates that the repetition of the chores has helped Daniel to learn defensive blocks as a form of muscle memory.<\/p>\n\n\n\n<p>It&#8217;s a great example of extrapolation, of deriving bigger lessons from smaller things \u2013 and also of doing the groundwork. Just as you can\u2019t learn karate without some hardwired practices, so you can\u2019t enter new territory in science or business without an understanding of the fundamental principles at work.<\/p>\n\n\n\n<p>Let\u2019s take R&amp;D in materials development as a case in point. Researchers who start with incomplete knowledge or assumptions are obliged to proceed on a trial-and-error basis \u2013 but if they can harness advanced techniques such as multiscale modeling and quantum computing to develop insights into materials at an atomic level, and if they can bring those techniques together with other, more established processes, they can steer the course of their simulations and digital-driven designs with a much greater degree of confidence.<\/p>\n\n\n\n<p>How can this be done? What progress is being made?<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-artificial-intelligence-is-not-enough\">Artificial intelligence is not enough<\/h3>\n\n\n\n<p>The questions we\u2019re considering here fall within the scope of Capgemini\u2019s strategic university research partnerships initiative. This planned and coordinated program involves bilateral collaborations where Capgemini teams work alongside world-class leading universities on key selected challenges. Dedicated team leaders take forward these bilateral projects with the goal of producing high-quality outputs that are useful not just in terms of pure research, but in terms of practical, real-world benefits.<\/p>\n\n\n\n<p>Universities play a critical role here by working at the boundary between what is theoretically possible and what is not yet computationally tractable in industry. As part of this program, and also as part of a broad, multi-team series of projects exploring the potential and application of quantum computing, Capgemini has been working with King\u2019s College London (KCL) to develop a closer understanding of how quantum simulations can be integrated into multiscale models in the context of the development of new materials.<\/p>\n\n\n\n<p>A key focus of the collaboration is quantum embedding: combining accurate quantum-mechanical treatments of the most chemically important region (for example, a catalytic active site) with more scalable classical models of the surrounding environment. This makes it feasible to study chemical reactions, including surface and heterogeneous catalysis, with a level of fidelity that would otherwise be out of reach.<\/p>\n\n\n\n<p>Materials development, particularly where reaction chemistry and catalysis are involved, is a prime example of innovation, and moreover of innovation that takes place in a world of large datasets. So it\u2019s often automatically assumed that this is an area that can be tackled by the modern magic bullet, artificial intelligence (AI).<\/p>\n\n\n\n<p>And yes, that\u2019s true. But it\u2019s true only to a certain extent. Artificial intelligence can indeed explore vast datasets and recognize patterns \u2013 but it can\u2019t understand the scientific behavior of a material in real-world environments. It can\u2019t distinguish between genuinely trail-blazing discovery and rediscovery. And it can\u2019t justify any options it identifies by giving them the rigor this discipline requires.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-bringing-ai-together-with-quantum-computing\">Bringing AI together with quantum computing\u2026<\/h3>\n\n\n\n<p>A different approach is needed \u2013 one that isn\u2019t solely predicated on the use of AI. One such approach is sometimes termed \u2018first principles modeling\u2019. Also referred to as <em>ab initio<\/em> modeling, it uses quantum mechanics to predict material properties and molecular behavior more accurately. By relying on physics, this framework ensures a more reliable foundation for experimentation \u2013 but it also provides other important benefits:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Validation of AI predictions:<\/strong> Quantum mechanical methods such as the Density Functional Theory (DFT) and Coupled-Cluster theory can provide a physics-based validation of AI-generated candidates before any investment in costly experiments;<\/li>\n\n\n\n<li><strong>Exploration of novel domains:<\/strong> Quantum mechanics can be used to model systems where limited or no training data already exists, opening pathways to true innovation;<\/li>\n\n\n\n<li><strong>High-quality training data:<\/strong> Simulations informed by quantum mechanics help establish robust datasets that improve AI accuracy over time;<\/li>\n\n\n\n<li><strong>Mechanistic understanding:<\/strong> Unlike black-box AI predictions, quantum methods explain <em>why<\/em> a material or molecule behaves as it does, enabling smarter, more informed experimentation.<\/li>\n<\/ul>\n\n\n\n<p>By using quantum mechanics as the foundation for discovery, first principles modeling is reliable to a degree that AI can\u2019t deliver on its own. Quantum computing promises to go even further, offering new ways to interrogate material behaviour that remain challenging for today\u2019s classical techniques.<\/p>\n\n\n\n<p>There is a caveat, though: like AI, quantum computing can\u2019t do everything. Current quantum hardware remains limited by noise, error rates, and qubit connectivity issues that restrict the size and complexity of problems that can be addressed. Understanding these limitations and when they might be overcome is essential for developing realistic expectations about quantum computing&#8217;s near-term impact on materials discovery.<\/p>\n\n\n\n<p>In the short to medium term, the most promising application of quantum computing is to address problems where quantum effects are significant, particularly in strongly correlated systems such as transition-metal compounds, high-temperature superconductors, and complex magnetic materials. These systems, where electron-electron interactions create behaviors that emerge from genuine quantum entanglement, represent challenges that classical methods have struggled to address effectively.<\/p>\n\n\n\n<p>In addition, quantum algorithms may offer advantages for simulating dynamics, excited states, and reaction pathways, especially when the chemistry happens in complex environments such as solid surfaces, interfaces, or catalytic materials \u2013 areas where classical methods often require significant approximations. The ability to model these phenomena more accurately could provide insights into photocatalysis, energy harvesting materials, and the chemical reaction mechanisms that drive many technologies.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-and-bringing-quantum-together-with-classical-computing\">\u2026 and bringing quantum together with classical computing<\/h3>\n\n\n\n<p>Quantum computing can achieve even more if it is put to work alongside traditional computing as part of a hybrid approach.<\/p>\n\n\n\n<p>For example, quantum-centric supercomputing (QCSC), a term used to describe tightly coupled quantum\u2013HPC workflows, can comprise classical pre-processing, quantum computation, and classical post-processing in an integrated workflow. By formalizing this relationship, QCSC creates a framework where problems can be decomposed into components best suited to different computational architectures.<\/p>\n\n\n\n<p>For materials simulation, this decomposition might involve using classical methods to handle molecular fragments where electron correlation is less significant, while deploying quantum resources for strongly correlated regions where classical approximations break down. In practice, this can be implemented through embedding frameworks that define how information flows through scales between the quantum and classical parts of the calculation, and how accuracy can be improved systematically. It also provides a natural route to testing methods on emulators and near-term hardware, while keeping an eye on longer-term scalability. This targeted application of quantum computing to specific subproblems, rather than attempting to quantum-compute entire systems, represents a practical path to near-term impact even with limited quantum resources.<\/p>\n\n\n\n<p>It&#8217;s not about attempting to use the latest and most exciting technologies for everything. It\u2019s about using the right vehicle and taking the best route to the desired destination. It\u2019s about pragmatism \u2013 and it\u2019s about results.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-a-foundation-for-the-future\"><strong>A foundation for the future<\/strong><\/h3>\n\n\n\n<p>The hybrid approach described in this paper is not only about today; it\u2019s also about preparing for tomorrow. Why? Because at the moment, the quantum computing methods that form part of that hybrid are still in development.<\/p>\n\n\n\n<p>By building atomistic and multiscale models now, organizations will be able to unlock the full potential of quantum computing when the hardware is ready. Quantum will supercharge these simulations, but many breakthroughs can already be delivered with current technology, with quantum chemistry on classical devices, with molecular dynamics, and with multi-physics simulations. This coordinated approach is changing the way R&amp;D can be done. Capgemini\u2019s role is to connect these scientific advances to industrial workflows, data platforms, and decision\u2011making processes that organisations already use today.<\/p>\n\n\n\n<p>When young Daniel in The Karate Kid was sanding the decking, waxing cars, and painting the fence, he was of course completing short-term tasks \u2013 but he was also establishing a foundation on which he could build his ambitions.<\/p>\n\n\n\n<p>Similarly, Capgemini and its academic and commercial partners are transforming R&amp;D to be quantum-ready, while delivering tangible value today.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\" section section--expert-slider wrapper-people-slider wp-block-cg-blocks-wrapper-people-slider\"><div class=\"container\"><div class=\"row\"><div class=\"content-title col-12 col-md-8\"><h2 data-maxlength=\"34\" class=\"people-heading-title\">Meet our experts<\/h2><\/div><\/div><\/div><div class=\"slider slider-boxed\"><div class=\"container\"><div class=\"slider-window\"><div class=\"slider-list\">\t\t<div class=\"slide\">\n\t\t\t<div class=\"box\">\n\t\t\t\t<div class=\"row\">\n\t\t\t\t\t<div class=\"col-md-6 col-lg-4 box-img-wrapper\">\n\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/au-en\/wp-content\/uploads\/sites\/10\/2021\/05\/Julian-van-Velzen550x305-1-e1664172297190.jpg\" alt=\"Julian van Velzen\"\/>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"col-md-6 col-lg-8 box-inner\">\n\t\t\t\t\t\t<div class=\"row title-social-media-header\">\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 mbl-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/julian-van-velzen-60877283\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 box-container\">\n\t\t\t\t\t\t\t\t<div class=\"box-title\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"people-profile-title\">Julian van Velzen<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Principal, Head of Quantum Lab<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 social-box-container dkt-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/julian-van-velzen-60877283\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"people-info\">I\u2019m passionate about the possibilities of quantum technologies and proud to be putting Capgemini\u2019s investment in quantum on the map. With our Quantum Lab, a global network of quantum experts, partners, and facilities, we\u2019re exploring with our clients how we can apply research, build demos, and help solve business and societal problems that till now have seemed intractable. It\u2019s exciting to be at the forefront of this disruptive technology, where I can use my background in physics and experience in digital transformation to help clients kick-start their quantum journey. Making the impossible possible!<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\n\n\t\t<div class=\"slide\">\n\t\t\t<div class=\"box\">\n\t\t\t\t<div class=\"row\">\n\t\t\t\t\t<div class=\"col-md-6 col-lg-4 box-img-wrapper\">\n\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/au-en\/wp-content\/uploads\/sites\/10\/2026\/04\/Anne-Laure-Cadene-e1772704941612-1.jpg\" alt=\"Dr. Anne-Laure Cad\u00e8ne\"\/>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"col-md-6 col-lg-8 box-inner\">\n\t\t\t\t\t\t<div class=\"row title-social-media-header\">\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 mbl-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/fr.linkedin.com\/in\/anne-laure-cadene-94485644\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 box-container\">\n\t\t\t\t\t\t\t\t<div class=\"box-title\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"people-profile-title\">Dr. Anne-Laure Cad\u00e8ne<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Head of Strategic university research partnership<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 social-box-container dkt-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/fr.linkedin.com\/in\/anne-laure-cadene-94485644\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"people-info\">With over two decades of experience in R&#038;D consulting, business, and R&#038;D management, Dr. Anne-Laure Cad\u00e8ne has been an R&#038;I Director at Capgemini since 2018. She now spearheads the Capgemini Engineering Strategic University program, focusing on advancing engineering capabilities and innovation for the next three to five years.<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\n\n\t\t<div class=\"slide\">\n\t\t\t<div class=\"box\">\n\t\t\t\t<div class=\"row\">\n\t\t\t\t\t<div class=\"col-md-6 col-lg-4 box-img-wrapper\">\n\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/au-en\/wp-content\/uploads\/sites\/10\/2025\/01\/Phalgun-Lolur.jpg\" alt=\"Phalgun Lolur\"\/>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"col-md-6 col-lg-8 box-inner\">\n\t\t\t\t\t\t<div class=\"row title-social-media-header\">\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 mbl-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/phalgun-lolur\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 box-container\">\n\t\t\t\t\t\t\t\t<div class=\"box-title\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"people-profile-title\">Phalgun Lolur<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Head Scientist, Capgemini\u2019s Quantum Lab and Scientific Quantum Development Lead<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 social-box-container dkt-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"Opens in a new window\" href=\"https:\/\/www.linkedin.com\/in\/phalgun-lolur\/\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"people-info\">Dr. Phalgun Lolur leads the research and scientific directions within Capgemini\u2019s Quantum Lab, focusing on projects that bring together chemistry, physics, materials science, data science, and quantum computing. He is a Royal Society\u2011endorsed expert in theoretical and computational chemistry, quantum mechanics, and quantum computing. His work centers on integrating quantum computing with established scientific methods and building practical workflows.<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div><\/div><\/div><div class=\"slider-nav\"><button class=\"slider-prev inactive\" aria-label=\"Slider-previous\" tabindex=\"-1\"><\/button><ul class=\"slider-paginator\"><\/ul><button class=\"slider-next\" aria-label=\"Slider-next\"><\/button><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"<p>Julian van Velzen, Principal Technology &#038; Innovation Leader, describes what happens in a major application area \u2013 materials development \u2013 when quantum computing, multiscale modeling, artificial intelligence, and classical computing are brought together in a business-and-academia partnership program<\/p>\n","protected":false},"author":87,"featured_media":552512,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"cg_dt_proposed_to":[],"cg_seo_hreflang_relations":"[]","cg_seo_canonical_relation":"","cg_seo_hreflang_x_default_relation":"","cg_dt_approved_content":true,"cg_dt_mandatory_content":false,"cg_dt_notes":"","cg_dg_source_changed":false,"cg_dt_link_disabled":false,"_yoast_wpseo_primary_brand":"65","_jetpack_memberships_contains_paid_content":false,"footnotes":"","featured_focal_points":"{\"x\":0.54,\"y\":0.41}"},"categories":[1],"tags":[],"brand":[65],"service":[],"industry":[],"partners":[],"blog-topic":[367],"content-group":[],"class_list":["post-552511","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","brand-capgemini-engineering","blog-topic-engineering"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.8 (Yoast SEO v22.8) 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