Volume 13, Issue 2 (partial) April - June 2023 | | Advertisement Join the APS Division of Laser Science and representatives from the Physical Review Journals at booth #409 during CLEO 2023. Play the Prize Drop game and win an exciting prize! And don't miss our Meet the Physical Review Journal Editors event, to be held Tuesday, May 9, 1:15 p.m. – 1:45 p.m. on the Show Floor Theatre. Discuss your latest submission or learn how to become a referee. | | | | | Advertisement PRL seeks two Associate Editors to handle all phases of the peer review process and ultimately decide which papers are published. Dynamic and personable individuals with a strong scientific background in either condensed matter and materials science, or physics of fluids, polymer physics, chemical physics, geophysics, or complex systems are encouraged to apply. More information. | | | | | Not an APS member? Join today to start connecting with a community of more than 50,000 physicists. | | | | Lukas Bulla, Matej Pivoluska, Kristian Hjorth, Oskar Kohout, Jan Lang, Sebastian Ecker, Sebastian P. Neumann, Julius Bittermann, Robert Kindler, Marcus Huber, Martin Bohmann, and Rupert Ursin Phys. Rev. X 13, 021001 (2023) – Published 3 April 2023 | High-dimensional entanglement among photons allows for a roughly 10-km free-space quantum communication link in an urban environment that is robust to noise. | | | | | | Tal Einav, Yuehaw Khoo, and Amit Singer Phys. Rev. X 13, 021002 (2023) – Published 4 April 2023 | A new tool transforms pairwise interactions within a dataset into a cohesive global picture that predicts how the system can behave. | | | | | | Jorge Fernandez-de-Cossio-Diaz, Simona Cocco, and Rémi Monasson Phys. Rev. X 13, 021003 (2023) – Published 5 April 2023 | A new way for machine learning to disentangle representations of complex data relies on a single, simple model rather than adversarial training of two competing neural networks. | | | | | | Xiaozhou Pan, Jonathan Schwinger, Ni-Ni Huang, Pengtao Song, Weipin Chua, Fumiya Hanamura, Atharv Joshi, Fernando Valadares, Radim Filip, and Yvonne Y. Gao Phys. Rev. X 13, 021004 (2023) – Published 7 April 2023 | Compressing the spectral content of quantum interference features in Schrödinger cat states to lower frequencies protects them against photon loss and preserves the most valuable characteristics that enable many quantum technologies. | | | | | | Stephen Whitelam Phys. Rev. X 13, 021005 (2023) – Published 10 April 2023 | A deep neural network learns feedback-control protocols that convert information obtained from measuring a fluctuating nanosystem into heat or work. | | | | | | Paul Züge, Christian Klos, and Raoul-Martin Memmesheimer Phys. Rev. X 13, 021006 (2023) – Published 11 April 2023 | In neural networks, a reward-based rule that relies on perturbing network weights can perform as well as or better than the more commonly studied node perturbation approach. | | | | | | Kohei Kawabata, Tokiro Numasawa, and Shinsei Ryu Phys. Rev. X 13, 021007 (2023) – Published 12 April 2023 | In open quantum systems, a macroscopic flow of particles and concomitant anomalous localization play an important role in the entanglement dynamics. | | | | | | Gregor Jotzu, Guido Meier, Alice Cantaluppi, Andrea Cavalleri, Daniele Pontiroli, Mauro Riccò, Arzhang Ardavan, and Moon-Sun Nam Phys. Rev. X 13, 021008 (2023) – Published 17 April 2023 | Precursors of superconductivity well above the critical temperature in K3C60 imply the presence of Cooper pairs at high temperature, which may help explain why light can raise the critical temperature of this material. | | | | | | Wei Zhu, Chao Han, Emilie Huffman, Johannes S. Hofmann, and Yin-Chen He Phys. Rev. X 13, 021009 (2023) – Published 18 April 2023 | A new theoretical scheme of studying the 3D Ising transition—a celebrated phase transition in a model of ferromagnetism—provides insights into the conformal symmetry long conjectured to emerge. | | | | | | Pinyao He, Allard J. Katan, Luca Tubiana, Cees Dekker, and Davide Michieletto Phys. Rev. X 13, 021010 (2023) – Published 19 April 2023 | This high-resolution imaging study investigates a unique interlinked DNA found in certain single-cell parasites and reveals the genome's unusual structure and topology at single-molecule resolution. | | | | | | Maria Chiara Angelini and Federico Ricci-Tersenghi Phys. Rev. X 13, 021011 (2023) – Published 20 April 2023 | A new theory, supported by large-scale numerical simulations, explores the conditions under which two Monte Carlo–based optimization algorithms can extract a signal from noisy data. | | | | | | Yarden Sheffer, Raquel Queiroz, and Ady Stern Phys. Rev. X 13, 021012 (2023) – Published 24 April 2023 | A new criterion for determining what materials can be fine-tuned to have very slowly moving electrons could lead to new platforms for studying novel phenomena arising from electron correlation. | | | | | | Kenneth G. Jackson, Colin J. Dale, Jeff Maki, Kevin G. S. Xie, Ben A. Olsen, Denise J. M. Ahmed-Braun, Shizhong Zhang, and Joseph H. Thywissen Phys. Rev. X 13, 021013 (2023) – Published 25 April 2023 | The wave function of fermions always acquires a minus sign when particles trade places. But an experiment shows that fermions confined to a quasi-one-dimensional space seem to circumvent this exchange symmetry. | | | | | | Featured in Physics Lev Arzamasskiy, Matthew W. Kunz, Jonathan Squire, Eliot Quataert, and Alexander A. Schekochihin Phys. Rev. X 13, 021014 (2023) – Published 26 April 2023 | New computer simulations show that wave-particle interactions endow thin plasmas with an effective viscosity that regulates their turbulent motions and heating. | | | | | | Hiroshi Shinaoka, Markus Wallerberger, Yuta Murakami, Kosuke Nogaki, Rihito Sakurai, Philipp Werner, and Anna Kauch Phys. Rev. X 13, 021015 (2023) – Published 27 April 2023 | A new way of encoding multipoint correlation functions—key to representing complex correlations among particles—greatly reduces their computation time and storage requirements. | | | | | | Hanchen Wang, Marco Madami, Jilei Chen, Hao Jia, Yu Zhang, Rundong Yuan, Yizhan Wang, Wenqing He, Lutong Sheng, Yuelin Zhang, Jinlong Wang, Song Liu, Ka Shen, Guoqiang Yu, Xiufeng Han, Dapeng Yu, Jean-Philippe Ansermet, Gianluca Gubbiotti, and Haiming Yu Phys. Rev. X 13, 021016 (2023) – Published 28 April 2023 | The first experimental demonstration of magnons, or spin waves, in a nanostructured moiré lattice sets the stage for exploring the potential role of such systems in novel magnonic devices for information processing. | | | | | | Minh C. Tran, Chi-Fang Chen, Adam Ehrenberg, Andrew Y. Guo, Abhinav Deshpande, Yifan Hong, Zhe-Xuan Gong, Alexey V. Gorshkov, and Andrew Lucas Phys. Rev. X 13, 029901 (2023) – Published 21 April 2023 | | | | |
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