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Physical Review X - April 2023

Physical Review X

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Volume 13, Issue 2 (partial)

April - June 2023
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Nonlocal Temporal Interferometry for Highly Resilient Free-Space Quantum Communication
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.

Quantitatively Visualizing Bipartite Datasets
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.

Disentangling Representations in Restricted Boltzmann Machines without Adversaries
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.

Protecting the Quantum Interference of Cat States by Phase-Space Compression
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.

Demon in the Machine: Learning to Extract Work and Absorb Entropy from Fluctuating Nanosystems
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.

Weight versus Node Perturbation Learning in Temporally Extended Tasks: Weight Perturbation Often Performs Similarly or Better
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.

Entanglement Phase Transition Induced by the Non-Hermitian Skin Effect
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.

Superconducting Fluctuations Observed Far above Tc in the Isotropic Superconductor K3C60
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.

Uncovering Conformal Symmetry in the 3D Ising Transition: State-Operator Correspondence from a Quantum Fuzzy Sphere Regularization
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.

Single-Molecule Structure and Topology of Kinetoplast DNA Networks
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.

Limits and Performances of Algorithms Based on Simulated Annealing in Solving Sparse Hard Inference Problems
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.

Symmetries as the Guiding Principle for Flattening Bands of Dirac Fermions
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.

Emergent s-Wave Interactions between Identical Fermions in Quasi-One-Dimensional Geometries
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
Kinetic Turbulence in Collisionless High-β Plasmas
Lev Arzamasskiy, Matthew W. Kunz, Jonathan Squire, Eliot Quataert, and Alexander A. Schekochihin
Phys. Rev. X 13, 021014 (2023) – Published 26 April 2023
Physics logo
Viewpoint:Turbulence in Collisionless Cosmic Plasmas

New computer simulations show that wave-particle interactions endow thin plasmas with an effective viscosity that regulates their turbulent motions and heating.

Multiscale Space-Time Ansatz for Correlation Functions of Quantum Systems Based on Quantics Tensor Trains
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.

Observation of Spin-Wave Moiré Edge and Cavity Modes in Twisted Magnetic Lattices
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.

Erratum: Hierarchy of Linear Light Cones with Long-Range Interactions [Phys. Rev. X 10, 031009 (2020)]
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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