Generative Data Intelligence

Tag: PNAS

Bounding entanglement dimensionality from the covariance matrix

Shuheng Liu1,2,3, Matteo Fadel4, Qiongyi He1,5,6, Marcus Huber2,3, and Giuseppe Vitagliano2,31State Key Laboratory for Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics,...

Physical forces explain why some COVID variants are more virulent than others – Physics World

A new study on the mechanical stability of bonds between the spike protein on the...

A new quantum machine learning algorithm: split hidden quantum Markov model inspired by quantum conditional master equation

Xiao-Yu Li1, Qin-Sheng Zhu2, Yong Hu2, Hao Wu2,3, Guo-Wu Yang4, Lian-Hui Yu2, and Geng Chen41School of Information and Software Engineering, University of Electronic Science...

Parallel Quantum Algorithm for Hamiltonian Simulation

Zhicheng Zhang1,2, Qisheng Wang3,4, and Mingsheng Ying5,41Centre for Quantum Software and Information, University of Technology Sydney, Sydney, Australia2University of Chinese Academy of Sciences,...

Quantum News Briefs: January 10, 2024: Qrypt Joins NVIDIA Inception; Microsoft and PNNL create new material and battery prototype with AI and HPC; QuEra...

By Kenna Hughes-Castleberry posted 10 Jan 2024 Quantum News Briefs: January 10, 2024:  Qrypt Joins NVIDIA Inception Qrypt, a leading...

Viruses change structure at the temperature of the human body to better infect us – Physics World

A series of neutron scattering measurements has uncovered the structure of viral DNA in unprecedented...

Light evaporates water without heating it – Physics World

Under certain conditions, light can cause water to evaporate directly, without heating it first. The...

General quantum algorithms for Hamiltonian simulation with applications to a non-Abelian lattice gauge theory

Zohreh Davoudi1,2,3,4, Alexander F. Shaw1,3, and Jesse R. Stryker1,2,51Department of Physics, University of Maryland, College Park, MD 20742, USA2Maryland Center for Fundamental Physics, University...

Generalization despite overfitting in quantum machine learning models

Evan Peters1,2,3 and Maria Schuld41Department of Physics, University of Waterloo, Waterloo, ON, N2L 3G1, Canada2Institute for Quantum Computing, Waterloo, ON, N2L 3G1, Canada3Perimeter...

Synergy between deep neural networks and the variational Monte Carlo method for small $^4He_N$ clusters

William Freitas and S. A. VitielloInstituto de Física Gleb Wataghin, University of Campinas - UNICAMP 13083-859 Campinas - SP, BrazilFind this paper interesting or...

Digital Discovery of 100 diverse Quantum Experiments with PyTheus

Carlos Ruiz-Gonzalez1, Sören Arlt1, Jan Petermann1, Sharareh Sayyad1, Tareq Jaouni2, Ebrahim Karimi1,2, Nora Tischler3, Xuemei Gu1, and Mario Krenn11Max Planck Institute for the Science...

Engines for predictive work extraction from memoryful quantum stochastic processes

Ruo Cheng Huang1, Paul M. Riechers1,2, Mile Gu1,3,4, and Varun Narasimhachar1,51Nanyang Quantum Hub, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore2Beyond Institute...

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