6 citations · 6 across the 3 of their papers we have counts for
6 papers
Towards Scaling Quantum Fine-Tuning of Foundational Time Series Models for Classification
Sang Hyub Kim, Julien Baglio, Rajiv Krishnakumar +7
Time-series foundation models produce rich embeddings, but whether quantum models can exploit them, and how far hybrid classical-quantum architectures scale, remains unclear. We ad…
Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models
Oliver Knitter, Sang Hyub Kim, Maximilian Wurzer +7
We present an experimental study of energy-to-solution (ETS) of hybrid quantum-classical applications, enabled by direct instrumentation of power consumption of a Forte Enterprise…
Accelerating the drive towards energy-efficient generative AI with quantum computing algorithms
Frederik F. Flöther, Jan Mikolon, Maria Longobardi
Research and usage of artificial intelligence, particularly generative and large language models, have rapidly progressed over the last years. This has, however, given rise to issu…
Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification
Rajiv Krishnakumar, Julien Baglio, Frederik F. Flöther +3
Whole-slide image classification represents a key challenge in computational pathology and medicine. Attention-based multiple instance learning (MIL) has emerged as an effective ap…
On the role of ethics and sustainability in business innovation
Maria Fay, Frederik F. Flöther
For organizations to survive and flourish in the long term, innovation and novelty must be continually introduced, which is particularly true in today's rapidly changing world. Thi…
Why business adoption of quantum and AI technology must be ethical
Christian Hugo Hoffmann, Frederik F. Flöther
Artificial intelligence (AI) recently had its 'iPhone moment' and adoption has drastically accelerated. Quantum computing appears poised to follow suit over the next years. However…