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There is no universal way of optimizing the variation quantum circuits used in Noisy Intermediate-Scale Quantum (NISQ) applications. In this paper the authors introduce a new classical Bayesian optimizer, which converges much more quickly than conventional approaches, and test it for solving the Quantum Approximate Optimization Algorithm (QAOA) problem.
There has been great success in observing the spontaneous symmetry breaking (SSB) of temporal cavity solitons (TCS) in Kerr ring resonators, but similar phenomena in linear Fabry-Pérot cavities are still unexplored. The authors establish the field polarization properties for the SSB of TCS, and characterize the SSB in a model Fabry-Perot resonator.
Generating stable frequency combs with desired features is crucial for enabling applications in diverse fields, such as telecommunications, spectroscopy, and artificial intelligence. In this work, the authors demonstrated an autonomous optimization scheme based on genetic algorithms to tailor coherent microcombs produced by a microring resonator.
The precision of the signal transduction process is fundamental for biological functions, and it builds on a trade-off between minimizing the response noise while retaining high sensitivity. The authors derive a general relationship between response noise and sensitivity in signaling systems, identifying the optimal conditions to minimize the noise.
The mechanism behind the transient emergence of superconductivity upon irradiation with light in some materials is highly debated, which is in part due to the strong correlations at play. Here, the authors investigate the dynamical emergence of superconductivity in the strongly correlated, yet exactly solvable, Yukawa-Sachdev-Ye-Kitaev model and discuss differences and similarities to the relaxation dynamics of conventional superconductors.
Optical intersite spin transfer (OISTR), which is driven by an ultrafast optical excitation, was recently found in several materials, but there is some disagreement over how this phenomenon can be observed experimentally. Here, the authors investigate the mechanism of intersite spin transfer in a set of FeNi alloys and make a comparison with pure Ni, demonstrating and discussing the challenges of observing OISTR using magneto-optical measurements.
Optical techniques adopted in optical computing rely on spatial multiplexing, requiring numerous integrated elements and restricting the architecture to perform a single kernel convolution per layer. The authors demonstrate a fiber-optic computing architecture based on temporal multiplexing that performs multiple convolutions in a single layer.
In this paper the authors explain the many-body non-Hermitian skin effect (NHSE) from the angle of doublon-holon pairs in the spin-full Hatano-Nelson model. The main result is that while strong interactions suppress doublon-holon pairs in the ground state, leading to the absence of the NHSE, excited eigenstates exhibit these excitations, with doublons and holons moving toward opposite directions.
To prepare steerable assembles from a bipartite quantum state is a cumbersome task due to the optimization over all possible incompatible measurements. Here the authors leverage the power of the deep learning model to infer the hierarchy of steering measurement settings and reveal the most compact parameters to characterize the Alice-to-Bob steerability.
One-dimensional conductance is governed by complex dynamics due to increased electron-electron correlations that give rise to a range of exotic physical phenomena. Here, the authors provide a theoretical description of recent experimental results showing fractional conductance plateaus under zero magnetic field that occur in ultra-clean quasi one-dimensional nanowires.
Rare-earth elements are effective for engineering the optical properties of materials for a range of applications from lasers to quantum information technologies. Here, the authors investigate the temperature-dependent properties of Er3+ photoluminescence in Er2O3 thin films, focusing on the Stark-Stark transitions and how their temperature-dependent behaviour results from electron-phonon interactions.
Generative modeling has become a widespread method in many areas of science. This work provides a comprehensive comparison between quantum and classical generative modeling techniques, with promising prospects for quantum generative modeling towards reaching practical quantum advantage.
The magnetospheric multiscale mission (MMS) consists of four identical spacecraft used to collect data on the interaction between the Sun and Earth’s magnetic fields and study how the various interactions govern the dynamics of phenomena such as plasmas and particle movement. Here, the authors analyse MMS data on charge distribution, showing that there is a separation of charge on the dawn and dusk sectors of the inner magnetosphere.
Spontaneous parametric down-conversion, the standard technique for generating entangled photons, is limited by low pair extraction efficiencies at near-unity fidelity. The authors show quantum dots in nanowires efficiently emit an oscillating state with near-unity entanglement fidelity and propose a time-resolved quantum key distribution protocol.
Formulating a general nonequilibrium thermodynamics of quantum coherence and identifying conditions for it to affect work extraction has remained elusive. The authors develop derive generalized fluctuation relations and a maximum-work theorem that fully account for quantum coherence at all times and analyse a driven qubit as a benchmark system.
Maxwell’s demon refers to extracting a resource through measurement in a system, which for a quantum system can be done in a completely energy-conserving way. The authors present such a Maxwell’s demon method of subtracting bosonic energy of excited qubits for Janes-Cummings interactions to generate an out-of-equilibrium state.
Exploring the impact of higher-order interactions in swarmalator systems, the authors analyze a model with pairwise and higher-order interactions, revealing four collective states. They find that even with predominantly repulsive pairwise interactions, elevated higher-order interactions sustain correlation among the swarmalators and minute fractions of higher-order interactions induce abrupt transitions between states.
Lattice gauge theory, a subset of gauge theory, has been successfully applied to a range of quantum systems allowing for the investigation of localised phenomena within these systems. Here, the authors consider a non-Hermitian lattice model observing a quantum disentangled liquid state that exists in both the localised and delocalised phases.
Active matter is a non-equilibrium system exhibiting collective behaviour and can be used to describe a wide range of biological phenomena from groups of cells to flocks of birds. Here, the authors develop a minimal model for studying the collective behaviours of polar and disordered active materials.
While it is renown that the COVID-19 pandemic affected the population mobility, little attention has been given to modeling the structural patterns of park visitations, and how these patterns have changed. The authors perform such analysis via gravity model as well as network structure analysis, and link the recreational propensity to socio-economical status of the population.
