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                    <title><![CDATA[BMW Group Newsroom Nederland]]></title>
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                    <pubDate>Tue, 10 Dec 2024 18:00:00 +0100</pubDate>
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                        <title>BMW Group en Airbus onthullen winnaars van de Quantum Computing Challenge.</title>
                        <link>https://newsroom.bmwgroup.com/emea/nl/bmw-group-en-airbus-onthullen-winnaars-van-de-quantum-computing-challenge/</link>
                        <guid>https://newsroom.bmwgroup.com/emea/nl/bmw-group-en-airbus-onthullen-winnaars-van-de-quantum-computing-challenge/</guid><pp:caseid>796932</pp:caseid><pp:summary><![CDATA[Vijf winnende teams stuwen mobiliteits-innovaties voort en tonen de impact van kwantumcomputing op uitdagingen van verschillende industrieën. Bijgaand het volledige, Engelstalige persbericht.]]></pp:summary><description><![CDATA[<div class="imported-article"><p>
  <strong>Santa Clara, CA (US).</strong> The BMW Group and Airbus have
  pushed quantum computing forward another step to leverage its
  significant potential for future mobility solutions. At the Q2B
  Conference in Silicon Valley, the companies have unveiled the winners
  of the Quantum Computing Challenge, an international initiative to
  identify and mature quantum solutions for the most promising mobility applications.</p>
<p>Quantum computing has the potential to impact various industries by
  speeding up our responses to an array of computational challenges,
  from optimising supply chains and manufacturing processes to improving
  vehicle and aircraft engineering. Quantum-inspired algorithms, already
  able to run today on classical high-performance computers, can be used
  to impact the design of the next generation of mobility solutions and
  give us a glimpse of the significant impact real quantum algorithms
  will have on future mobility solutions.</p>
<p>"Quantum technology has the power to redefine innovation across
  industries. This year’s Airbus and BMW Group Quantum Computing
  Challenge underscores the importance of cross-industry partnerships in
  accelerating the journey from groundbreaking research to practical
  applications," said Robert Bruckmeier,General Manager Computing
  & Network Artificial Intelligence at BMW Group. "While we are
  still in the early stages, the progress made in this challenge
  reaffirms our belief in quantum technology’s potential to drive
  extraordinary advancements for the automotive industry.”</p>
<p>“The teams have achieved outstanding progress, and the results of
  this challenge confirm that quantum technologies have the potential to
  shape the next generation of aircraft,” said Isabell Gradert, Vice
  President Central Research and Technology at Airbus. “Quantum
  technology is no longer confined to only fundamental research. Even if
  it might still be a long way off, it’s clearly advancing towards
  industrial applications, and we must collaborate with the best experts
  in the world so that we can fully leverage its potential as soon as it
  becomes viable,” she added.</p>
<p>The results of the challenge will enable both companies to identify
  the most promising quantum computing applications to improve the way
  aircraft and cars are designed, manufactured and operated. A winning
  team was selected for each of five competition categories:</p>
<ol>
  <li>
    <strong>Quantum simulation: </strong>The team from the University of
    Southern California in the U.S. demonstrated that material behaviour
    such as energy absorption and binding properties can be better
    understood by using quantum technologies.</li>
  <li>
    <strong>Quantum solvers: </strong>The team from the University of
    Hamburg in Germany credibly showed how quantum computing could be
    combined with classical computing solutions to solve complex
    equations to minimise aircraft noise and maximise aerodynamic efficiency.</li>
  <li>
    <strong>Quantum-powered logistics: </strong>The team from 4colors
    Research, a start-up from the UK, used quantum computing to minimise
    CO<sub>2</sub> emissions and other costs required in the supply
    chain logistics process, a particularly complex challenge for the
    mobility sector.</li>
  <li>
    <strong>Quantum machine learning: </strong>The team from Quandela, a
    start-up from France, explored to what extent quantum computing can
    enhance critical scenario generation, such as transforming limited
    daytime data into precise and realistic nighttime conditions. The
    potential application for mobility would be to improve the
    reliability of autonomous systems in diverse environments.</li>
  <li>
    <strong>Open category: </strong>The team from TU Delft in the
    Netherlands provided a novel solution in q​uantum composite design.
    Their work stood out for its real-world applicability, specifically
    addressing optimisation techniques in the layering of carbon fibre
    materials. The weight-saving properties of carbon fibre are
    particularly important to reducing fuel consumption in the aviation
    and automotive industries.</li></ol>
<p>All finalists in this competition were given access to quantum
  resources through Amazon Web Services (AWS) to run their algorithms,
  as well as an opportunity to work with aerospace, automotive and
  quantum experts from the BMW Group and Airbus.</p>
<p>Launched in December 2023 and hosted by The Quantum Insider, the
  Quantum Computing Challenge aims to inspire the global quantum
  computing community to take solutions out of the lab and put them into
  practice in the field of transportation. A jury composed of
  world-leading quantum computing experts – from academia to industry –
  teamed up with the BMW Group and Airbus to select five winners from
  more than 100 submissions. Each of the five winners was awarded a
  prize of €30,000.</p><div class="import-contacts-wrapper"><div class="import-contact">Press Contact: Bryan Barendrecht<br>Tel: +31638729011<br>e-mailadres: <a href="mailto:bryan.barendrecht@bmw.nl">bryan.barendrecht@bmw.nl</a></div></div></div>]]></description><category><![CDATA[Press Release,Mobility of the future,Quantum Computing]]></category>
            <pubDate>Tue, 10 Dec 2024 18:00:00 +0100</pubDate>
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