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Thursday, February 1, 2024

Physical Review X - January 2024

Physical Review X

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Volume 14, Issue 1 (partial)

January - March 2024
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Bridging the Reality Gap in Quantum Devices with Physics-Aware Machine Learning
D. L. Craig, H. Moon, F. Fedele, D. T. Lennon, B. van Straaten, F. Vigneau, L. C. Camenzind, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, and N. Ares
Phys. Rev. X 14, 011001 (2024) – Published 4 January 2024

Nominally identical quantum devices can display different current behaviors at the same voltage settings. A machine learning–based analysis reveals hidden features of material imperfections that lead to such behavior.

Featured in Physics
Smectic and Soap Bubble Optofluidic Lasers
Zala Korenjak and Matjaž Humar
Phys. Rev. X 14, 011002 (2024) – Published 5 January 2024
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Focus:A Soap Bubble Becomes a Laser

Using a soap bubble, researchers have created a laser that could act as a sensitive sensor for environmental parameters including atmospheric pressure.

Measuring Nonlocal Brane Order with Error-Corrected Quantum Gas Microscopes
Junhyeok Hur, Wonjun Lee, Kiryang Kwon, SeungJung Huh, Gil Young Cho, and Jae-yoon Choi
Phys. Rev. X 14, 011003 (2024) – Published 8 January 2024

An error-correction method for large-scale neutral atom quantum simulators using optical lattices can distinguish correlated particle-hole pairs from uncorrelated holes in the Mott insulator.

Valley-Coherent Quantum Anomalous Hall State in AB-Stacked MoTe2/WSe2 Bilayers
Zui Tao, Bowen Shen, Shengwei Jiang, Tingxin Li, Lizhong Li, Liguo Ma, Wenjin Zhao, Jenny Hu, Kateryna Pistunova, Kenji Watanabe, Takashi Taniguchi, Tony F. Heinz, Kin Fai Mak, and Jie Shan
Phys. Rev. X 14, 011004 (2024) – Published 10 January 2024

Optical spectroscopy of a transition metal dichalcogenide moiré semiconductor in the quantum anomalous Hall state reveals a surprising valley-coherent state, suggesting the need for a new theoretical mechanism for this effect.

Dipolar Spin Ice Regime Proximate to an All-In-All-Out Néel Ground State in the Dipolar-Octupolar Pyrochlore Ce2Sn2O7
D. R. Yahne, B. Placke, R. Schäfer, O. Benton, R. Moessner, M. Powell, J. W. Kolis, C. M. Pasco, A. F. May, M. D. Frontzek, E. M. Smith, B. D. Gaulin, S. Calder, and K. A. Ross
Phys. Rev. X 14, 011005 (2024) – Published 16 January 2024

A reassessment of the ground state of a quantum spin liquid candidate suggests the state is sensitive to imperceptible change in chemical composition, an insight that could help in tuning the system to exotic, quantum-disordered phases.

Reducing the Instability of an Optical Lattice Clock Using Multiple Atomic Ensembles
Xin Zheng, Jonathan Dolde, and Shimon Kolkowitz
Phys. Rev. X 14, 011006 (2024) – Published 23 January 2024

A more efficient use of the atoms in a strontium optical lattice atomic clock reduces the measured instability by up to a factor of 2 compared to the standard approach.

Featured in Physics
High-Sensitivity ac-Charge Detection with a MHz-Frequency Fluxonium Qubit
B.-L. Najera-Santos, R. Rousseau, K. Gerashchenko, H. Patange, A. Riva, M. Villiers, T. Briant, P.-F. Cohadon, A. Heidmann, J. Palomo, M. Rosticher, H. le Sueur, A. Sarlette, W. C. Smith, Z. Leghtas, E. Flurin, T. Jacqmin, and S. Deléglise
Phys. Rev. X 14, 011007 (2024) – Published 24 January 2024
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Synopsis:Superconducting Qubit Breaks Low-Frequency Record

Researchers have demonstrated an unprecedentedly low-frequency superconducting "fluxonium" qubit, which could facilitate experiments that probe macroscopic quantum phenomena.

Morphological Entanglement in Living Systems
Thomas C. Day, S. Alireza Zamani-Dahaj, G. Ozan Bozdag, Anthony J. Burnetti, Emma P. Bingham, Peter L. Conlin, William C. Ratcliff, and Peter J. Yunker
Phys. Rev. X 14, 011008 (2024) – Published 25 January 2024

Experiments and simulations show that growth in living organisms easily leads to entanglement between their filamentous, branching structures.

Hyperoptimized Approximate Contraction of Tensor Networks with Arbitrary Geometry
Johnnie Gray and Garnet Kin-Lic Chan
Phys. Rev. X 14, 011009 (2024) – Published 26 January 2024

A new framework for approximate evaluation, or contraction, of a tensor network greatly expands the range of problems in quantum physics and computer science that may be accurately approximated by tensor network methods.

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