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It is widely accepted that information cannot travel faster than c, the speed of light in vacuum(1-3). Here, we investigate the behaviour of quantum correlations and information in the presence of dispersion. To do so we send one half of an entangled state of light through a gain-assisted slow-or fast-light medium and detect the transmitted quantum correlations and quantum mutual information(4-6). We show that quantum correlations can be advanced by a small fraction of the correlation time, even in the presence of noise added by phase-insensitive gain. Additionally, although the peak of the quantum mutual information between the modes can be advanced, we find that the degradation of the mutual information due to added noise appears to prevent an advancement of the leading edge. In contrast, we demonstrate a significant delay of both the leading and trailing edges of the mutual information in a slow-light system

For further understanding the wide array of emotions embedded in human speech, we are introducing a strictly-guided simulated emotional speech corpus. In contrast to existing speech corpora, this was constructed by maintaining an equal distribution of 4 long vowels in New Zealand English. This balance is to facilitate emotion related formant and glottal source feature comparison studies. Also, the corpus has 5 secondary emotions and 5 primary emotions. Secondary emotions are important in Human-Robot Interaction (HRI) to model natural conversations among humans and robots. But there are few existing speech resources to study these emotions, which has motivated the creation of this corpus. A large scale perception test with 120 participants showed that the corpus has approximately 70% and 40% accuracy in the correct classification of primary and secondary emotions respectively. The reasons behind the differences in perception accuracies of the two emotion types is further investigated. A preliminary prosodic analysis of corpus shows significant differences among the emotions. The corpus is made public at: github.com/tli725/JL-Corpus.

Quantum morphology operations are proposed based on the novel enhanced quantum representation model. Two kinds of quantum morphology operations are included: quantum binary and grayscale morphology operations. Dilation and erosion operations are fundamental to morphological operations. Consequently, we focus on quantum binary and flat grayscale dilation and erosion operations and their corresponding circuits. As the basis of designing of binary morphology operations, three basic quantum logic operations AND, OR, and NOT involving two binary images are presented. Thus, quantum binary dilation and erosion operations can be realized based on these logic operations supplemented by quantum measurement operations. As to the design of flat grayscale dilation and erosion operations, the searching for maxima or minima in a certain space is involved; here, we use Grover's search algorithm to get 123 S. Yuan et al. these maxima and minima. With respect that the grayscale is represented by quantum bit string, the quantum bit string comparator is used as an oracle in Grover's search algorithm. In these quantum morphology operations, quantum parallelism is well utilized. The time complexity analysis shows that quantum morphology operations' time complexity is much lower or equal to the classical morphology operations.