| Volume 13, Issue 4 (partial) October - December 2023 | |
Advertisement | APS is pleased to announce that it will begin sponsoring Astrobites, a daily astrophysical literature journal written by graduate students in astronomy that makes the latest findings in astronomy accessible to broad audiences. This mutually beneficial collaboration aims to enhance the dissemination of research, educational resources, and career insights in the field of astronomy and astrophysics. Learn more. | | | | | Advertisement  | Coming to DFD this year in Washington, DC? Be sure to float by the Physical Review Journals booth #21! Win one of 7 rubber ducks at our biggest rubber duck pond yet. Learn how to get your paper published in PRX and get tips on manuscript submission, refereeing and more at Monday's Meet the Editors event. We look forward to seeing you in DC! | | | | | | | Not an APS member? Join today to start connecting with a community of more than 50,000 physicists. | | | | Markus P. Müller and Andrew J. P. Garner Phys. Rev. X 13, 041001 (2023) – Published 2 October 2023  | An analysis of what kind of effective statistical behavior is plausible if physics is assumed to be fundamentally quantum sets the stage for more robust tests of the validity of quantum theory. | | | | | | Featured in Physics Jialiang Yu, Sebastian Häfner, Thomas Legero, Sofia Herbers, Daniele Nicolodi, Chun Yu Ma, Fritz Riehle, Uwe Sterr, Dhruv Kedar, John M. Robinson, Eric Oelker, and Jun Ye Phys. Rev. X 13, 041002 (2023) – Published 3 October 2023  | A crystalline reflective coating being considered for future gravitational-wave detectors exhibits peculiar noise features at cryogenic temperatures. | | | | | | P. Sai, V. V. Korotyeyev, M. Dub, M. Słowikowski, M. Filipiak, D. B. But, Yu. Ivonyak, M. Sakowicz, Yu. M. Lyaschuk, S. M. Kukhtaruk, G. Cywiński, and W. Knap Phys. Rev. X 13, 041003 (2023) – Published 4 October 2023  | The discovery of two distinct, electrically tunable phases in a semiconductor-based plasmonic crystal opens new paths to cost-effective, compact, controllable devices for terahertz optoelectronics. | | | | | | Steven Durr, Youssef Mroueh, Yuhai Tu, and Shenshen Wang Phys. Rev. X 13, 041004 (2023) – Published 5 October 2023  | A simplified model of a family of machine-learning architectures offers a way to explore a major form of training failure—mode collapse—that is not well understood. | | | | | | Kevin D. Crowley, Russell A. McLellan, Aveek Dutta, Nana Shumiya, Alexander P. M. Place, Xuan Hoang Le, Youqi Gang, Trisha Madhavan, Matthew P. Bland, Ray Chang, Nishaad Khedkar, Yiming Cady Feng, Esha A. Umbarkar, Xin Gui, Lila V. H. Rodgers, Yichen Jia, Mayer M. Feldman, Stephen A. Lyon, Mingzhao Liu, Robert J. Cava, Andrew A. Houck, and Nathalie P. de Leon Phys. Rev. X 13, 041005 (2023) – Published 6 October 2023  | Tantalum-based superconducting qubits have shown great promise in extending qubit lifetimes. New systematic measurements identify the key sources of loss and noise in this material system. | | | | | | Schuyler B. Nicholson and Todd R. Gingrich Phys. Rev. X 13, 041006 (2023) – Published 9 October 2023  | A new methodology for calculating the rate at which a reaction-diffusion system switches between metastable macrostates provides a tool for understanding how macroscopic patterns arise from microscopic reactions. | | | | | | Naoto Nakatsuji, Takuto Kawakami, and Mikito Koshino Phys. Rev. X 13, 041007 (2023) – Published 10 October 2023  | A theoretical analysis of supermoiré structures in twisted trilayer graphene reveals novel physics, setting the stage for further exploration of such structures beyond the typical two-layer framework. | | | | | | Alessandro Foligno, Tianci Zhou, and Bruno Bertini Phys. Rev. X 13, 041008 (2023) – Published 11 October 2023  | To simulate the action of an effective bath in a chaotic system of many quantum particles, one needs resources that grow exponentially in time. | | | | | | Jan Berges, Nina Girotto, Tim Wehling, Nicola Marzari, and Samuel Poncé Phys. Rev. X 13, 041009 (2023) – Published 17 October 2023  | A quantitative comparison of controversial approaches to calculating the self-energy of phonons is made possible by downfolding the problem to effective low-energy systems. | | | | | | Nicholas W. Hackney, Christopher Amey, and Gregory M. Grason Phys. Rev. X 13, 041010 (2023) – Published 18 October 2023  | Self-limiting states of frustrated assembly—in which thermodynamics limits the size of an assembling structure at large scales—can exist at finite temperature, a new minimal model suggests. | | | | | | Featured in Physics Szabolcs Zakany and Michel C. Milinkovitch Phys. Rev. X 13, 041011 (2023) – Published 20 October 2023  | Researchers have predicted—and confirmed—a secondary pattern on the ocellated lizard's scales that is too subtle for our eyes to see. | | | | | | Featured in Physics J. Nakamura, S. Liang, G. C. Gardner, and M. J. Manfra Phys. Rev. X 13, 041012 (2023) – Published 23 October 2023  | Fabry-Perot interferometry can observe anyon behavior at complex fractional states—a key requirement for analyzing non-abelian states that are sought after for intrinsically fault-tolerant qubits. | | | | | | Kaavya Sahay, Junlan Jin, Jahan Claes, Jeff D. Thompson, and Shruti Puri Phys. Rev. X 13, 041013 (2023) – Published 24 October 2023  | A new model of qubit noise that is motivated by neutral atom qubits leads to much higher rates of error correction in tailored error-correcting codes. | | | | | | Ashwij Mayya, Estelle Berthier, and Laurent Ponson Phys. Rev. X 13, 041014 (2023) – Published 25 October 2023  | Compression experiments of 2D cellular materials shed light on a long-standing debate on the nature of compressive failure and show how precursors to failure can be harnessed for assessing the mechanical health of a material. | | | | | | Brennan Undseth, Oriol Pietx-Casas, Eline Raymenants, Mohammad Mehmandoost, Mateusz T. Mądzik, Stephan G. J. Philips, Sander L. de Snoo, David J. Michalak, Sergey V. Amitonov, Larysa Tryputen, Brian Paquelet Wuetz, Viviana Fezzi, Davide Degli Esposti, Amir Sammak, Giordano Scappucci, and Lieven M. K. Vandersypen Phys. Rev. X 13, 041015 (2023) – Published 25 October 2023  | Control signals can shift the frequency of spin-based qubits. New experiments show that this effect corresponds to a temperature increase and can be counterintuitively suppressed by operating at a higher temperature than normal. | | | | | | Andrew Stasiuk and Paola Cappellaro Phys. Rev. X 13, 041016 (2023) – Published 26 October 2023  | Observation of a time crystal—a periodically driven state that breaks time-translation symmetry—at room temperature bolsters the case for using the state as a near-term robust quantum memory. | | | | | | Manuel Reinhardt, Gašper Tkačik, and Pieter Rein ten Wolde Phys. Rev. X 13, 041017 (2023) – Published 26 October 2023  | The information transmission rate of a system can usually be calculated only approximately. A new Monte Carlo simulation scheme makes it possible, for the first time, to do so exactly for a large class of systems. | | | | | | Anjana M. Samarakoon, J. Strempfer, Junjie Zhang, Feng Ye, Yiming Qiu, J.-W. Kim, H. Zheng, S. Rosenkranz, M. R. Norman, J. F. Mitchell, and D. Phelan Phys. Rev. X 13, 041018 (2023) – Published 27 October 2023  | In a layered transition-metal oxide, 3D magnetic order emerges as two 2D magnetic sheets intertwine and irreversibly imprint a new metastable sublattice magnetization. | | | | | | M. O. Ajeesh, M. Bordelon, C. Girod, S. Mishra, F. Ronning, E. D. Bauer, B. Maiorov, J. D. Thompson, P. F. S. Rosa, and S. M. Thomas Phys. Rev. X 13, 041019 (2023) – Published 27 October 2023  | Experiments on very clean crystals of the actinide superconductor UTe2 find no evidence of spontaneous time-reversal symmetry breaking that has been suggested in previous studies. | | | | | | Fangjun Hu, Gerasimos Angelatos, Saeed A. Khan, Marti Vives, Esin Türeci, Leon Bello, Graham E. Rowlands, Guilhem J. Ribeill, and Hakan E. Türeci Phys. Rev. X 13, 041020 (2023) – Published 30 October 2023  | A framework to quantify the computational capacity of arbitrary physical systems in the presence of sampling noise provides a tool for best harnessing them for machine learning. | | | | | | Featured in Physics D. Ganapathy et al. (LIGO O4 Detector Collaboration) Phys. Rev. X 13, 041021 (2023) – Published 30 October 2023  | The LIGO experiment has demonstrated a noise-squeezing technique for its entire frequency-detection range—a feat that could boost the detection rate of black hole mergers by up to 65%. | | | | | | | |
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