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Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics
(2019)arXivWorking Paper -
A Weighted Balance Model of Opinion Hyperpolarization
(2019)SocArXivPolarization is threatening the stability of democratic societies. Until now, polarization research has focused on opinion extremeness, overlooking the correlation between different policy issues. We explain the emergence of hyperpolarization, i.e. the combination of extremeness and correlation between issues, by developing Weighted Balance Theory (WBT), a new theory of opinion formation. WBT extends Heiders cognitive balance theory to ...Working Paper -
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Revisiting microbe-metabolite interactions: doing better than random
(2019)bioRxivRecently, Quinn and Erb et al [1] made the case that when used correctly, correlation and proportionality can outperform MMvec when identifying microbe-metabolite interactions. We revisit this comparison and show that the proposed correlation and proportionality are outperformed by MMvec on real data due to their inability to deal with sparsity commonly observed in microbiome and metabolome datasets.Working Paper -
Structure and function of a neocortical synapse
(2019)bioRxivThirty-four years since the small nervous system of the nematode C. elegans was manually reconstructed in the electron microscope (EM)1, ‘high-throughput’ EM techniques now enable the dense reconstruction of neural circuits within increasingly large brain volumes at synaptic resolution2–6. As with C. elegans, however, a key limitation for inferring brain function from neuronal wiring diagrams is that it remains unknown how the structure ...Working Paper -
Iterative Quantum Amplitude Estimation
(2019)arXivWe introduce a new variant of Quantum Amplitude Estimation (QAE), called Iterative QAE (IQAE), which does not rely on Quantum Phase Estimation (QPE) but is only based on Grover's Algorithm, which reduces the required number of qubits and gates. We provide a rigorous analysis of IQAE and prove that it achieves a quadratic speedup up to a double-logarithmic factor compared to classical Monte Carlo simulation. Furthermore, we show with an ...Working Paper -
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Quantum metrology with indefinite causal order
(2019)arXivWe address the study of quantum metrology enhanced by indefinite causal order, demonstrating a quadratic advantage in the estimation of the product of two average displacements in a continuous variable system. We prove that no setup where the displacements are probed in a fixed order can have root-mean-square error vanishing faster than the Heisenberg limit 1/N, where N is the number of displacements contributing to the average. In stark ...Working Paper