{"id":25460,"date":"2026-03-19T07:50:56","date_gmt":"2026-03-19T06:50:56","guid":{"rendered":"https:\/\/saarland-informatics-campus.de\/?post_type=sic_news&#038;p=25460"},"modified":"2026-04-07T17:37:38","modified_gmt":"2026-04-07T15:37:38","slug":"projek-erforscht-das-beste-aus-den-welten-von-quantencomputern-und-klassischen-rechnern","status":"publish","type":"sic_news","link":"https:\/\/saarland-informatics-campus.de\/en\/piece-of-news\/projek-erforscht-das-beste-aus-den-welten-von-quantencomputern-und-klassischen-rechnern\/","title":{"rendered":"Project explores the best of both worlds: quantum computers and classical computers"},"content":{"rendered":"<p data-start=\"89\" data-end=\"580\">Quantum computers can do some things better than classical computers\u2014but many things they still cannot. Researchers at Saarland University are now working together with industry partners BMW, Infineon, and the quantum computing start-up planqc to combine both worlds. A quantum computer is intended to help classical computers tackle highly complex optimization challenges from everyday industrial practice. The project is funded with \u20ac2.3 million by the German Federal Ministry of Research.<\/p>\n<p data-start=\"582\" data-end=\"1071\">The \u201ctraveling salesman problem\u201d is probably the best-known example of a so-called optimization problem that poses major challenges for mathematicians: as the number of stops increases, it becomes increasingly difficult to calculate the shortest possible route that visits all locations and returns to the starting point. But such optimization problems don\u2019t just affect salespeople\u2014they appear everywhere in daily life, for example in manufacturing complex products or calculating prices.<\/p>\n<p data-start=\"1073\" data-end=\"2044\">Fortunately, we have computers today that can solve such problems in no time. Or do we? Not always. Even today, classical computers can often only approximate solutions to difficult mathematical problems rather than solve them completely\u2014and often only with long runtimes. Their algorithms are typically based on real-world problems and exploit their structure heuristically. \u201cThat works surprisingly well. Algorithms that are theoretically slower can still be faster in practice,\u201d explains Peter P. Orth, Professor of Theoretical Physics of Quantum Information at Saarland University. However, despite their quality, these solutions are often just the best possible under given circumstances\u2014essentially: \u201cWe make the best of it; more isn\u2019t currently possible.\u201d But that is not enough for Peter P. Orth, his colleague Markus Bl\u00e4ser (a computer scientist specializing in complexity and algorithms), the industry partners Infineon and BMW, and the quantum start-up planqc.<\/p>\n<p data-start=\"2046\" data-end=\"2889\">In a new research project called \u201cQIAPO \u2013 Quantum-informed approximate optimization on NISQ and partially fault-tolerant quantum computers,\u201d they are therefore taking a new approach: a special quantum computer based on neutral atoms, built by planqc in Garching, will first \u201cshrink\u201d highly complex logistical tasks\u2014such as those arising in the production and distribution of cars or computer chips\u2014so that classical computers can handle them more effectively using proven algorithms. Quantum computers can outperform classical ones in certain cases because their computing units, qubits, can exist in a superposition of states 0 and 1, whereas classical bits can only be either 0 or 1. This makes quantum computers particularly well suited for solving or simplifying highly complex mathematical problems that would overwhelm classical systems.<\/p>\n<p data-start=\"2891\" data-end=\"3674\">Once the \u201cjungle\u201d of a mathematical problem has been cleared, researchers can continue working on classical computers using well-established algorithms to solve the now much smaller problem. However, even this hybrid approach will not yield perfect solutions for the kinds of challenges faced by companies like Infineon and BMW, Orth notes\u2014which is why the project includes \u201capproximate optimization\u201d in its title. In other words, the goal is to use a combination of quantum and classical algorithms to improve solutions incrementally. For example, if a problem can currently be solved with 80% accuracy, the hybrid approach might improve this to 85% or even 95%. \u201cThis is where quantum computers could \u2018fill the gap\u2019 to increase accuracy and achieve a quantum advantage,\u201d says Orth.<\/p>\n<p data-start=\"3676\" data-end=\"3989\">\u201cThe QIAPO project not only shows how far quantum computing has already progressed,\u201d says Dr. Martin Kiffner, Head of Algorithms at planqc. \u201cWe are already demonstrating how highly complex, industry-relevant challenges can be translated into quantum algorithms that can ultimately be tested on quantum computers.\u201d<\/p>\n<p data-start=\"3991\" data-end=\"4533\">Physicist Peter P. Orth describes a realistic goal of the project: \u201cOver the next three years, we won\u2019t immediately solve the biggest problems. But we will very likely find out whether our approach can fundamentally solve such problems\u2014and then continue exploring them further.\u201d After all, even small efficiency gains in complex industrial production and distribution processes could have significant impact. As the project description notes: \u201cEven minor resource savings can lead to substantial financial effects at large production scales.\u201d<\/p>\n<p data-start=\"4535\" data-end=\"5365\" data-is-last-node=\"\" data-is-only-node=\"\"><strong data-start=\"4535\" data-end=\"4551\">At a glance:<\/strong><br data-start=\"4551\" data-end=\"4554\" \/>The project <strong>\u201cQIAPO \u2013 Quantum-informed approximate optimization on NISQ and partially fault-tolerant quantum computers\u201d<\/strong> has been funded since January 2026 for three years with \u20ac2.33 million by the German Federal Ministry of Research, Technology and Space. It is coordinated by Prof. Dr. Peter P. Orth (Saarland University). Other participants include Prof. Dr. Markus Bl\u00e4ser (Saarland University), BMW AG, Infineon Technologies AG, and planqc GmbH. planqc develops quantum computers based on neutral atoms\u2014the fastest path toward scalable quantum processors for industrial applications. Founded in April 2022 in Garching near Munich by Alexander Gl\u00e4tzle, Sebastian Blatt, and Johannes Zeiher, planqc is the first spin-off of the Max Planck Institute of Quantum Optics within the Munich Quantum Valley initiative.<\/p>\n<p><strong>Related Links:<\/strong><br \/>\n<a href=\"https:\/\/www.quantensysteme.info\/projektatlas\/projekte\/q\/qiapo\" target=\"_blank\" rel=\"noopener noreferrer\">www.quantensysteme.info\/projektatlas\/projekte\/q\/qiapo<\/a><br \/>\n<a href=\"https:\/\/planqc.eu\/\" target=\"_blank\" rel=\"noopener noreferrer\">www.planqc.eu<\/a><\/p>\n<p><strong>More Information:<\/strong><br \/>\nProf. Dr. Peter P. Orth<br \/>\nTel.: (0681) 3024960<br \/>\nE-Mail: <a href=\"#\" data-mailto-token=\"thpsav1wlaly5vyaoGbup4zhhyshuk5kl\" data-mailto-vector=\"7\">peter.orth(at)uni-saarland.de<\/a><br \/>\nWebseite: <a href=\"https:\/\/www.uni-saarland.de\/lehrstuhl\/orth.html\" target=\"_blank\" rel=\"noopener\">https:\/\/www.uni-saarland.de\/lehrstuhl\/orth.html<\/a><\/p>\n<p><strong>This text has been machine translated from the German and has undergone no postediting.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Quantum computers can do some things better than classical computers&mdash;but many things they still cannot. Researchers at Saarland University are now working together with industry partners BMW, Infineon, and the quantum computing start-up planqc to combine both worlds. A quantum computer is intended to help classical computers tackle highly complex optimization challenges from everyday industrial [&hellip;]<\/p>\n","protected":false},"featured_media":25459,"menu_order":0,"template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":""},"sic_news-types":[59,60],"class_list":["post-25460","sic_news","type-sic_news","status-publish","has-post-thumbnail","hentry","sic_news-types-press-release-en","sic_news-types-uds-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Project explores the best of both worlds: quantum computers and classical computers - Saarland Informatics Campus<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/saarland-informatics-campus.de\/en\/piece-of-news\/projek-erforscht-das-beste-aus-den-welten-von-quantencomputern-und-klassischen-rechnern\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Project explores the best of both worlds: quantum computers and classical computers - Saarland Informatics Campus\" \/>\n<meta property=\"og:description\" content=\"Quantum computers can do some things better than classical computers&mdash;but many things they still cannot. Researchers at Saarland University are now working together with industry partners BMW, Infineon, and the quantum computing start-up planqc to combine both worlds. 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