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Renormalization is a technique based on a repeated coarse-graining procedure used to study scale invariance and criticality in statistical physics. Now, an expansion of the renormalization toolbox allows to explore scale invariance in real-world networks.
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.
Established methods of controlling silicon spin qubits require high-frequency signals that can be difficult to implement for various reasons. Exploiting the coupling between spin and valley degrees of freedom provides an alternative approach.
The renormalization group method is routinely employed in studies of criticality in many areas of physics. A framework based on a field theoretical description of information diffusion now extends this tool to the study of complex networks.
The magnetic flux in a superconducting loop can only change by discrete jumps called phase slips. The energy dissipated by an individual phase slip has now been detected thanks to advances in precision temperature measurements.
Ultrafast laser fields are able to widely tune the physical properties of semiconductors by generating virtual states. Using strong fields at energies below the optical bandgap, control of excitons in two-dimensional semiconductors has now been demonstrated.
The emission of light from qubits in a superconducting circuit can be controlled in order to choose the direction of the photons’ propagation, which could be used to route information in quantum networks.
Superconducting currents around a loop containing a weak link can be quantized and only change during discrete events called phase slips. Now, the heat generated by a single phase slip and the subsequent relaxation have been experimentally observed.
The interaction of strong laser fields with tungsten disulfide leads to light-dressed Floquet replica of excitonic states, which manifest as new features in the transient absorption spectrum.
Light could be used to carry quantum information in networks, but this requires methods to prepare and control individual photons. A superconducting circuit can controllably emit photons in either direction along a microwave waveguide.
Most temporal analyses of multivariate time series rely on pairwise statistics. A study combining network theory and topological data analysis now shows how to characterize the dynamics of signals at all orders of interactions in real-world data.
