Experimental Test of Contextuality in Quantum and Classical Systems
Aonan Zhang, Huichao Xu, Jie Xie, Han Zhang, Brian J. Smith, M. S. Kim, and Lijian Zhang
Phys. Rev. Lett. 122, 080401 (2019) - Published 26 February, 2019
Measuring Nonclassicality of Bosonic Field Quantum States via Operator Ordering Sensitivity
Stephan De Bièvre, Dmitri B. Horoshko, Giuseppe Patera, and Mikhail I. Kolobov
Phys. Rev. Lett. 122, 080402 (2019) - Published 27 February, 2019
Experimental Realization of Nonadiabatic Shortcut to Non-Abelian Geometric Gates
Tongxing Yan, Bao-Jie Liu, Kai Xu, Chao Song, Song Liu, Zhensheng Zhang, Hui Deng, Zhiguang Yan, Hao Rong, Keqiang Huang, Man-Hong Yung, Yuanzhen Chen, and Dapeng Yu
Phys. Rev. Lett. 122, 080501 (2019) - Published 25 February, 2019
Gated Conditional Displacement Readout of Superconducting Qubits
S. Touzard, A. Kou, N. E. Frattini, V. V. Sivak, S. Puri, A. Grimm, L. Frunzio, S. Shankar, and M. H. Devoret
Phys. Rev. Lett. 122, 080502 (2019) - Published 25 February, 2019
Qubit Measurement by Multichannel Driving
Joni Ikonen, Jan Goetz, Jesper Ilves, Aarne Keränen, Andras M. Gunyho, Matti Partanen, Kuan Y. Tan, Dibyendu Hazra, Leif Grönberg, Visa Vesterinen, Slawomir Simbierowicz, Juha Hassel, and Mikko Möttönen
Phys. Rev. Lett. 122, 080503 (2019) - Published 25 February, 2019
Fault-Tolerant Logical Gates in the IBM Quantum Experience
Robin Harper and Steven T. Flammia
Phys. Rev. Lett. 122, 080504 (2019) - Published 26 February, 2019
Resource Quantification for the No-Programing Theorem
Aleksander M. Kubicki, Carlos Palazuelos, and David Pérez-García
Phys. Rev. Lett. 122, 080505 (2019) - Published 28 February, 2019
Emergent SO(5) Symmetry at the Columnar Ordering Transition in the Classical Cubic Dimer Model
G. J. Sreejith, Stephen Powell, and Adam Nahum
Phys. Rev. Lett. 122, 080601 (2019) - Published 27 February, 2019
Solving Statistical Mechanics Using Variational Autoregressive Networks
Dian Wu, Lei Wang, and Pan Zhang
Phys. Rev. Lett. 122, 080602 (2019) - Published 28 February, 2019
Deep neural networks can effectively sample from the Boltzmann distribution and compute the variational free energy as well as physical observables better than existing mean-field methods.
Typicality of Prethermalization
Peter Reimann and Lennart Dabelow
Phys. Rev. Lett. 122, 080603 (2019) - Published 1 March, 2019
Universal Dynamics of Inhomogeneous Quantum Phase Transitions: Suppressing Defect Formation
F. J. Gómez-Ruiz and A. del Campo
Phys. Rev. Lett. 122, 080604 (2019) - Published 1 March, 2019










