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37 papers · 1 filter
Time-reversal symmetry breaking in the chemosensory array reveals mechanisms for dissipation-enhanced cooperative sensing
David Hathcock, Qiwei Yu, Yuhai Tu
The Escherichia coli chemoreceptors form an extensive array that achieves cooperative and adaptive sensing of extracellular signals. The receptors control the activity of histidine…
Fermionic wave packet scattering: a quantum computing approach
Yahui Chai, Arianna Crippa, Karl Jansen +4
Quantum computing provides a novel avenue towards simulating dynamical phenomena, and, in particular, scattering processes relevant for exploring the structure of matter. However,…
A perspective on protein structure prediction using quantum computers
Hakan Doga, Bryan Raubenolt, Fabio Cumbo +5
Despite the recent advancements by deep learning methods such as AlphaFold2, \textit{in silico} protein structure prediction remains a challenging problem in biomedical research. W…
Provable bounds for noise-free expectation values computed from noisy samples
Samantha V. Barron, Daniel J. Egger, Elijah Pelofske +4
In this paper, we explore the impact of noise on quantum computing, particularly focusing on the challenges when sampling bit strings from noisy quantum computers as well as the im…
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity
Ken C. L. Wong, Levente Klein, Ademir Ferreira da Silva +3
Soil organic carbon (SOC) sequestration is the transfer and storage of atmospheric carbon dioxide in soils, which plays an important role in climate change mitigation. SOC concentr…
Techniques for learning sparse Pauli-Lindblad noise models
Ewout van den Berg, Pawel Wocjan
Error-mitigation techniques such as probabilistic error cancellation and zero-noise extrapolation benefit from accurate noise models. The sparse Pauli-Lindblad noise model is one o…