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A structure of monolayer and bilayer graphene with a small twist between them shows correlated insulating states that can be tuned by changing the twist angle or applying an electric field.
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.
A pair of strongly coupled photonic microresonators shows nonlinear emergent behaviour, which can be understood by incorporating interactions in the theoretical description of nonlinear optical systems.
Twisted bilayers of WS2 and WSe2 have correlated states that correspond to real-space ordering of the electrons on a length scale much longer than the moiré pattern.
A single excitation in a semiconductor nuclear spin ensemble is detected with parts-per-million accuracy using the coupling between the ensemble and an electron-spin quantum dot.
High-resolution magnetometry shows that the shape of domain walls in Cr2O3 is determined by the energetic cost of their surface area. The walls behave like elastic surfaces that avoid thicker parts of the sample where they would need to be larger.
Cells exploit protein pattern formation to perform key processes, and do so while undergoing major shape changes. Experiments and theory together reveal a shape-adaptation mechanism capable of controlling protein dynamics even as the cell deforms.
The electrical potential created by a moiré pattern in twisted transition metal dichalcogenide bilayers can be surprisingly deep, trapping electrons that can possibly be used for opto-electronic or quantum simulation applications.
Topological materials are characterized by the topological invariants of filled bands, which cannot be used for bosonic systems. Instead, their topological invariants can be found via the transition from bound to leaky modes in photonic lattices.
Device-independent randomness expansion is demonstrated in an experiment that is secure against quantum adversaries as established by the entropy accumulation theorem.
By exploiting polarization entanglement between photons, quantum holography can circumvent the need for first-order coherence that is vital to classical holography.
Two monolayers of bismuth-containing cuprate will form a high-temperature topological superconductor when stacked with an approximately 45° rotation between the layers.
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.
Evidence for light-induced superconductivity in K3C60 was limited to optical methods due to the short lifetime of the phase. Extending the lifetime from picoseconds to nanoseconds now allows measurement of its negligible electrical resistance.
Device-independent randomness expansion is demonstrated in an experiment that is secure in the presence of a classical eavesdropper who does not share any entanglement with the setup.
Branching microtubule nucleation plays a major part in cellular processes driving eukaryotic cell division. A combination of microscopy approaches and hydrodynamic theory is used to show how the condensed protein TPX2 on a microtubule reorganizes according to the Rayleigh–Plateau instability.
The charge radii of potassium isotopes up to 52K are measured, and show no sign of magicity at 32 neutrons as previously suggested in calcium. The observations are interpreted with coupled cluster and density functional theory calculations.
Quantum jitter fundamentally limits the performance of microresonator frequency combs. The timing jitter of the solitons that generate the comb spectra is analysed, reaching the quantum limit and establishing fundamental limits for soliton microcombs.
Wavefront shaping can reduce uncertainties due to measurement noise through disordered media—key to many imaging applications. Optimal precision can be achieved using light fields that are eigenstates of an operator related to the medium’s scattering matrix.