首页|Research from University of California Santa Cruz Has Provided New Data on Machi ne Learning (Measurements With A Quantum Vision Transformer: A Naive Approach)
Research from University of California Santa Cruz Has Provided New Data on Machi ne Learning (Measurements With A Quantum Vision Transformer: A Naive Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from the University of Ca lifornia Santa Cruz by NewsRx correspondents, research stated, “In mainstream ma chine learning, transformers are gaining widespread usage.” The news journalists obtained a quote from the research from University of Calif ornia Santa Cruz: “As Vision Transformers rise in popularity in computer vision, they now aim to tackle a wide variety of machine learning applications. In part icular, transformers for High Energy Physics (HEP) experiments continue to be in vestigated for tasks including jet tagging, particle reconstruction, and pile-up mitigation. An improved Quantum Vision Transformer (QViT) with a quantum-enhanc ed self-attention mechanism is introduced and discussed. A shallow circuit is pr oposed for each component of self-attention to leverage current Noisy Intermedia te Scale Quantum (NISQ) devices. Variations of the hybrid architecture/model are explored and analyzed. The results demonstrate a successful proof of concept fo r the QViT, and establish a competitive performance benchmark for the proposed d esign and implementation.”
University of California Santa CruzCyb orgsEmerging TechnologiesMachine Learning
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