Press release summaries below:
IQM Quantum Computers expands to Poland and inks MoU with Gdańsk University of Technology
As part of the expansion, IQM has signed a Memorandum of Understanding (MoU) with Gdańsk University of Technology, a leading technical university in Poland, to develop cutting-edge quantum applications, focusing on transformative fields such as personalized medicine.
Poland is one of Europe’s most developed tech hubs, has a growing talent pool in software, physics, engineering, and the government is committing to actively pursuing the development of deep tech and AI. The country is also part of the European High Performance Computing Joint Undertaking (EuroHPC JU).
IQM a Gold Sponsor at IQT Vancouver/Pacific Rim June 4-6
IQM a Diamond Day Sponsor at IQT Nordics
QAIVentures announces second set of quantum startups for Accelerator program
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Commutator Studios (Germany) – Developer tools to boost quantum application performance. https://commutatorstudios.com
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Munich Quantum Instruments (Germany) – Scalable photonic quantum sensors for groundbreaking discoveries. https://munich-quantum-instruments.com
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QCentroid (Spain) – QuantumOps platform revolutionizing enterprise computational solutions. http://qcentroid.xyz
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QPerfect (France) – Advanced quantum operating system for high-performance quantum computing. https://qperfect.io
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Quantized Technology (Canada) – Next-gen quantum data encryption for unprecedented security. https://quantizedtech.com
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Scenario X (Switzerland) – AI-powered platform for economic forecasting and risk modeling. https://scenario-x.ai
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ZuriQ (Switzerland) – Scalable quantum computer hardware based on trapped ions. http://www.zuriq.com
Cleveland Clinic and IBM researchers apply quantum computing methods to protein structure prediction
By accurately predicting the structure of a protein, researchers can better understand how diseases spread and thus how to develop effective therapies. Cleveland Clinic postdoctoral fellow Bryan Raubenolt, Ph.D., and IBM researcher Hakan Doga, Ph.D., spearheaded a team to discover how quantum computing can improve current methods.
The research team applied a mix of quantum and classical computing methods. This framework could allow quantum algorithms to address the areas that are challenging for state-of-the-art classical computing, including protein size, intrinsic disorder, mutations and the physics involved in proteins folding. The quantum-classical hybrid framework’s initial results outperformed both a classical physics-based method and AlphaFold2T.