News
QunaSys, Cortex Discovery, and Fraunhofer ITWM to Launch the joint QuEnAIS Quantum Drug Discovery Project
QunaSys is thrilled to announce that the QuEnAIS Consortium, comprising Cortex Discovery, Fraunhofer ITWM’s High Performance Computing (HPC) department and QunaSys, has been awarded a grant under the EUREKA Applied Quantum Call for a Quantum-Enhanced Drug Discovery Project. This grant will support the development of an innovative computational pipeline that aims to revolutionize drug discovery by combining advanced artificial intelligence (AI) algorithms, HPC techniques, and near-term quantum computing technologies.
QunaSys Releases Preview Version of “QURI Bench”, a Benchmark Report for Quantum Computing Hardware
QunaSys Inc. (Headquarters: Bunkyo-ku, Tokyo; CEO: Tennin Yan; hereinafter “QunaSys”), a company specializing in quantum computing software and algorithm development, releases its inaugural quantum computer benchmark report, “QURI Bench” (preview version), on May 12, 2025, via its official website. This benchmark independently evaluates the performance and characteristics of various quantum hardware platforms. The official version of “QURI Bench” is scheduled for release in July 2025.
Qunasys Featured in ITWatch
Qunasys has been featured in ITWatch for its participation in the Hyper Ten Q project
QunaSys Secures the Innovation Fund Denmark’s Grant for Quantum Chemistry Breakthroughs
QunaSys is proud to announce that it has been awarded funding from the Innovation Fund Denmark as part of the HyperTenQ project, an initiative aimed at advancing quantum computing for chemistry. With an investment of DKK 19 million, this prestigious grant recognizes QunaSys’s leadership in quantum computing and its potential to transform materials science, drug discovery, and sustainable technologies.
QunaSys Joins a Leading European Consortium to Advance Sustainable Battery Innovation with Quantum Computing
QunaSys is pleased to announce its participation in the FULL-MAP project, a European Union-funded initiative aimed at revolutionizing battery technology through AI, big data, autonomous synthesis robotics, and high-throughput testing. As part of this effort, QunaSys will leverage its expertise in quantum machine learning to enhance the modelling and simulation of electrolytes, anodes and cathodes, enabling more efficient and data-driven discovery of novel materials for next-generation batteries.
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