News & Views |
Featured
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Article |
Learning quantum Hamiltonians from high-temperature Gibbs states and real-time evolutions
Complexity of learning Hamiltonians from Gibbs states is an important issue for both many-body physics and machine learning. The optimal sample and time complexities of quantum Hamiltonian learning for high temperature has now been proven.
- Jeongwan Haah
- , Robin Kothari
- & Ewin Tang
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World View |
Artificial intelligence needs a scientific method-driven reset
AI needs to develop more solid assumptions, falsifiable hypotheses, and rigorous experimentation.
- Luís A. Nunes Amaral
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World View |
Why even specialists struggle with black hole proofs
Mathematical proofs of black hole physics are becoming too complex even for specialists.
- Alejandro Penuela Diaz
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Article |
Self-organized intracellular twisters
Cytoplasmic flows in the fruit fly oocyte can reorganize cellular components. These structured vortical flows arise through self-organizing dynamics of microtubules, molecular motors and cytoplasm.
- Sayantan Dutta
- , Reza Farhadifar
- & Michael J. Shelley
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Article
| Open AccessFalse vacuum decay via bubble formation in ferromagnetic superfluids
The transition from a metastable state to the ground state in classical many-body systems is mediated by bubble nucleation. This transition has now been experimentally observed in a quantum setting using coupled atomic superfluids.
- A. Zenesini
- , A. Berti
- & G. Ferrari
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News & Views |
Intrinsic simplicity of complex systems
Predicting the large-scale behaviour of complex systems is challenging because of their underlying nonlinear dynamics. Theoretical evidence now verifies that many complex systems can be simplified and still provide an insightful description of the phenomena of interest.
- Jianxi Gao
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Article |
The low-rank hypothesis of complex systems
Although using low-rank matrices is the go-to approach to model the dynamics of complex systems, its validity remains formally unconfirmed. An analysis of random networks and real-world data now sheds light on this low-rank hypothesis and its implications.
- Vincent Thibeault
- , Antoine Allard
- & Patrick Desrosiers
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Article |
Quantum-inspired classical algorithms for molecular vibronic spectra
It has been suggested that Gaussian boson sampling may provide a quantum computational advantage for calculating the vibronic spectra of molecules. Now, an equally efficient classical algorithm has been identified.
- Changhun Oh
- , Youngrong Lim
- & Liang Jiang
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News & Views |
Graph theory captures hard-core exclusion
Physical networks, composed of nodes and links that occupy a spatial volume, are hard to study with conventional techniques. A meta-graph approach that elucidates the impact of physicality on network structure has now been introduced.
- Zoltán Toroczkai
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Article |
Impact of physicality on network structure
Physical networks are systems composed of physical entities, which conventional graph-based approaches fail to capture. Theoretical work now introduces a meta-graph technique to uncover the impact of physicality on the structure of networks.
- Márton Pósfai
- , Balázs Szegedy
- & Albert-László Barabási
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Article |
Geometric description of clustering in directed networks
Network geometry is an emerging framework used to describe several topological and organizational features of complex networks. Now this approach has been extended to directed networks, which contain both symmetric and asymmetric interactions.
- Antoine Allard
- , M. Ángeles Serrano
- & Marián Boguñá
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Article |
Laser ablation and fluid flows reveal the mechanism behind spindle and centrosome positioning
Cell division is governed by the positioning of a cytoskeletal structure called the spindle. Two methods, one based on laser ablation and the other on fluid flow assessments, are now shown to be useful tools for studying spindle positioning.
- Hai-Yin Wu
- , Gökberk Kabacaoğlu
- & Daniel J. Needleman
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Article |
Interactive cryptographic proofs of quantumness using mid-circuit measurements
Being able to perform qubit measurements within a quantum circuit and adapt to their outcome broadens the power of quantum computers. These mid-circuit measurements have now been used to implement a cryptographic proof of non-classical behaviour.
- Daiwei Zhu
- , Gregory D. Kahanamoku-Meyer
- & Christopher Monroe
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Article |
The hardness of random quantum circuits
Quantum computers are believed to exponentially outperform classical computers at some tasks, but it is hard to make guarantees about the limits of classical computers. It has now been proven that classical computers cannot efficiently simulate most quantum circuits.
- Ramis Movassagh
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Article
| Open AccessScaling and intermittency in turbulent flows of elastoviscoplastic fluids
Elastoviscoplastic fluids combine solid- and liquid-like behaviour depending on applied stress. Simulations of elastoviscoplastic fluids at high Reynolds number now show that plasticity plays a key role in the turbulent flows seen in these systems, leading for example to intermittency.
- Mohamed S. Abdelgawad
- , Ianto Cannon
- & Marco E. Rosti
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Article |
A quantum complexity lower bound from differential geometry
Quantum operations can be considered as points in a high-dimensional space in which distance reflects the similarity of two operations. Applying differential-geometric methods in this picture gives insights into the complexity of quantum systems.
- Adam R. Brown
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Comment |
Depictions of fluid phenomena in art
An analysis of representations of fluid flows in classical paintings reveals scientific inaccuracies. Some of these misrepresentations might be caused by a limited understanding of fluid dynamics and others by deliberate artistic choices.
- Rouslan Krechetnikov
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News & Views |
Sheep lead the way
Experiments with small flocks of sheep show intermittent collective motion events driven by random leaders that guide the group. A model reveals information pooling capabilities, suggesting a mechanism for swarm intelligence.
- Cristián Huepe
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Research Briefing |
Understanding the formation of gas bubbles at liquid–liquid interfaces
The formation of bubbles at liquid–liquid interfaces is challenging to explain because gas pockets cannot be stabilized by cracks on solid impurities. Experiments show that a difference in the gas solubilities of two immiscible liquids provides a gas reservoir, which allows gas to accumulate at the interface, leading to bubble formation.
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Perspective |
Citation inequity and gendered citation practices in contemporary physics
The under-citation of woman authors in physics is quantified and measures that could overcome this inequity are presented.
- Erin G. Teich
- , Jason Z. Kim
- & Dani S. Bassett
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Comment |
The flow from simulation to reality
Fluid simulations today are remarkably realistic. In this Comment I discuss some of the most striking results from the past 20 years of computer graphics research that made this happen.
- Károly Zsolnai-Fehér
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News & Views |
A cool quantum simulator
Experiments with ultracold atoms can be used to create nearly ideal quantum simulations of theoretical models. A realization of a model of exotic magnetism has tested the limits of what can be studied numerically on a classical computer.
- Evgeny Kozik
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Article |
Exact solutions for the wrinkle patterns of confined elastic shells
Wrinkling happens because of mechanical instabilities arising from length mismatches. A theory now describes wrinkling in confined elastic shells and is expected to be relevant for the controlled design of complex wrinkle patterns.
- Ian Tobasco
- , Yousra Timounay
- & Eleni Katifori
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Article
| Open AccessTransition from sub-Rayleigh anticrack to supershear crack propagation in snow avalanches
Avalanches can occur when a porous snow layer lies beneath a dense cohesive snow slab. Field experiments and simulations now reveal different crack-propagation regimes in slab avalanches, similar to rupture propagation following an earthquake.
- Bertil Trottet
- , Ron Simenhois
- & Johan Gaume
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Article |
The temporal rich club phenomenon
Uncovering structures in temporal networks requires different tools than in their static counterparts. A metric now quantifies whether the nodes with a large number of connections also tend to stay simultaneously connected for longer times.
- Nicola Pedreschi
- , Demian Battaglia
- & Alain Barrat
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Article |
Degree-preserving network growth
Network models rarely fix the number of connections of each node during evolution, despite this being needed in real-world applications. Addressing this need, a new approach can grow scale-free networks without preferential attachment.
- Shubha R. Kharel
- , Tamás R. Mezei
- & Zoltan Toroczkai
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Article |
Measuring the capabilities of quantum computers
Evaluations of quantum computers across architectures need reliable benchmarks. A class of benchmarks that can directly reflect the structure of any algorithm shows that different quantum computers have considerable variations in performance.
- Timothy Proctor
- , Kenneth Rudinger
- & Robin Blume-Kohout
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Letter |
Clonal dominance in excitable cell networks
As tissues grow, a small fraction of cells can give rise to a large fraction of the tissue. A model borrowed from forest fires suggests that this can occur spontaneously in development as a collective property of the cell interaction network.
- Jasmin Imran Alsous
- , Jan Rozman
- & Stanislav Y. Shvartsman
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Perspective |
The physics of higher-order interactions in complex systems
Network representations of complex systems are limited to pairwise interactions, but real-world systems often involve higher-order interactions. This Perspective looks at the new physics emerging from attempts to characterize these interactions.
- Federico Battiston
- , Enrico Amico
- & Giovanni Petri
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Article |
A rigorous and robust quantum speed-up in supervised machine learning
Many quantum machine learning algorithms have been proposed, but it is typically unknown whether they would outperform classical methods on practical devices. A specially constructed algorithm shows that a formal quantum advantage is possible.
- Yunchao Liu
- , Srinivasan Arunachalam
- & Kristan Temme
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Letter |
Quantum advantage for computations with limited space
In general, it isn’t known when a quantum computer will have an advantage over a classical device. Now it’s proven that computers with limited working memory are more powerful if they are quantum.
- Dmitri Maslov
- , Jin-Sung Kim
- & Sarah Sheldon
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Article |
Learning models of quantum systems from experiments
Quantum systems make it challenging to determine candidate Hamiltonians from experimental data. An automated protocol is presented and its capabilities to infer the correct Hamiltonian are demonstrated in a nitrogen-vacancy centre set-up.
- Antonio A. Gentile
- , Brian Flynn
- & Anthony Laing
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Measure for Measure |
One outstanding path from A to B
What does it mean for an individual to be ‘important’ or for a connection to be ‘outstanding’? The answer depends on context, as Sarah Shugars and Samuel V. Scarpino explain.
- Sarah Shugars
- & Samuel V. Scarpino
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Article |
Topological limits to the parallel processing capability of network architectures
The ability to perform multiple tasks simultaneously is a key characteristic of parallel architectures. Using methods from statistical physics, this study provides analytical results that quantify the limitations of processing capacity for different types of tasks in neural networks.
- Giovanni Petri
- , Sebastian Musslick
- & Jonathan D. Cohen
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News & Views |
Work with what you’ve got
Quantum computing combines great promise with daunting challenges — the road to devices that solve real-world problems is still long. Now, an implementation of a quantum algorithm maps the problems we want to solve to the devices we already have.
- Boaz Barak
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Article |
Quantum approximate optimization of non-planar graph problems on a planar superconducting processor
It is hoped that quantum computers may be faster than classical ones at solving optimization problems. Here the authors implement a quantum optimization algorithm over 23 qubits but find more limited performance when an optimization problem structure does not match the underlying hardware.
- Matthew P. Harrigan
- , Kevin J. Sung
- & Ryan Babbush
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Measure for Measure |
Virtually a measurement
Simulations are as much a part of science as hypothesis and experiment. But can their outcomes be considered observations? Wendy S. Parker investigates.
- Wendy S. Parker
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Comment |
Fixed-time descriptive statistics underestimate extremes of epidemic curve ensembles
The uncertainty associated with epidemic forecasts is often simulated with ensembles of epidemic trajectories based on combinations of parameters. We show that the standard approach for summarizing such ensembles systematically suppresses critical epidemiological information.
- Jonas L. Juul
- , Kaare Græsbøll
- & Sune Lehmann
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Matters Arising |
Economists’ views on the ergodicity problem
- Jason N. Doctor
- , Peter P. Wakker
- & Tong V. Wang
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Matters Arising |
Asymptotic scaling describing signal propagation in complex networks
- Peng Ji
- , Wei Lin
- & Jürgen Kurths
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Measure for Measure |
Metrology on a grand scale
The assembly of the more than a million single parts of the ITER tokamak requires large-scale three-dimensional precision metrology. John Villanueva Jr gives us insights into the complexity of this project.
- John Villanueva Jr