Sun, L., Zhang, M., Wang, B., Tiwari, P.: Few-shot class-incremental learning for medical time series classification. IEEE J. Biomed. Health Inf. (2023). https://doi.org/10.1109/JBHI.2023.3247861 Article Google Scholar Tian, G., Hui, Y., Lu, W., Tingting, W.: Rate-distortion...
. In practice, a more relevant scenario to consider instead of arbitrary unitaries is learning a unitary that can be represented by a polynomial-depth quantum circuit. This class of unitaries corresponds to those that can be efficiently implemented on a quantum computer, and it is exponentially ...
the first constructs a resource-efficient convex-split lemma and the second adapts the technique of classical correlated sampling in computer science literature. These lead to the following consequences in one-shot quantum information theory. First concerns the task of quantum decoupling, achieved in ma...
Image classification, for example, is one of the most success- ful applications of Neural Networks (NNs). To explore the possible advantage of quantum computing, Quantum Neural Networks (QNNs) have been used to clas- sify images in [27,28]. It is shown that by encoding images to a ...
AI-driven image recognition for earth observation. Quantum-Enhanced Sensors and Technologies: Development of quantum sensors for high-resolution earth imaging. Quantum-enhanced gravimetry for planetary exploration. Quantum entanglement-based communication systems. ...
technology taxonomy presented above, we introduce a new division of quantum technologies according to their benefits and utilisation. The following classification can be generalised; however, we place more emphasis on military applications. The quantum technology utilisation impact classification is as ...
By carefully selecting and rebalancing relatively small blocks of weights over multiple epochs, iCBS is able to find sparser models that maintain higher accuracy than simple one-shot pruning methods, even for extremely large models like Mistral. The quantum connection The per-block optimization problem...
Sign in to download full-size image Fig. 19. D*λ for Johnson-noise-limited photon detectors where Ro is the differential resistance at zero bias. Shot Noise Shot noise results whenever the fluctuation arises because of a series of independent events occurring at random, such as the emission ...
Fig. 1: Overview on the QREAL architecture. Full size image Setting up QREAL for decoding weak coherent light The nonorthogonality of quantum states precludes them from being perfectly discriminated, forbidding the classical receivers operate near the fundamental limits. To bridge the gap, we leverage...
Over the past few decades, an amount of DNA-related data has been increasing exponentially1, and genomics is by now a data-driven science2. More than 40 years ago, the first DNA genome (\(\phi \)X 174 bacteriophage) was sequenced3. It took almost 13 years to sequence the whole human...