1157 papers
This paper proposes a cost-based scheduler that jointly optimizes routing and adaptive purification rounds using machine learning estimators to reduce latency and increase success rates in quantum networks while meeting fidelity targets.
This paper provides a modern mathematical review of the Bohr-Sommerfeld atomic model, utilizing semiclassical methods to rederive quantization rules and energy levels while establishing their connections to the Schrödinger and Dirac equations.
This paper introduces a framework for computing the dimension of the state manifold (orbit) reachable by quantum states under linear or Gaussian dynamics, revealing fundamental limitations on state transformations, providing a witness for non-Gaussianity, and clarifying the expressivity constraints of bosonic variational circuits across both discrete and continuous-variable settings.
This paper demonstrates that discrete-time quantum walks on a one-dimensional lattice can dynamically generate significant quantum magic, with the resulting magnitude and structure heavily dependent on the initial coin state and exhibiting a complex, complementary relationship with entanglement in single-walker systems.
This paper proposes a universal and efficient protocol for verifying arbitrary multipartite pure quantum states using adaptive local projective measurements based on Schmidt decomposition and mutually unbiased bases, achieving a dimension-independent sample complexity upper bound and constant verification costs for Haar-random states even in adversarial scenarios.
This paper proposes a kernel-based quantum clustering method that encodes renewable energy profile similarity into an Ising model solvable by a Coherent Ising Machine, effectively alleviating the Curse of Dimensionality in NP-hard clustering problems as verified by real optical quantum computer tests.
This paper introduces the Optical Time Algorithm (OTA), a flexible framework that utilizes a single, reconfigurable optical circuit to efficiently simulate diverse free quantum field dynamics—including varying coupling geometries, spacetime metrics, and boundary conditions—thereby overcoming the rigidity of traditional experimental setups and paving the way for tabletop investigations of quantum field theories.
This paper presents an analytical and diagrammatic framework to calculate the leading-order three-photon wavefunction and non-Gaussian correlation signatures in a weakly coupled atomic ensemble, successfully validating these predictions with numerical simulations to advance the understanding of non-equilibrium quantum optics.
This paper argues that the controversy over "negative" or "superluminal" tunnelling times is unfounded because the transmitted wave packet results from destructive interference between multiple delayed copies of the free state, a phenomenon analogous to a Mach-Zehnder interferometer where the Uncertainty Principle prevents defining a meaningful duration when both paths are engaged.
This study numerically and analytically investigates the finite- and infinite-size Dicke-Stark model to characterize its superradiant phase transition and reveal how the Stark field modulates photon correlation transitions and how temperature and coupling strength influence the system's entanglement and spin squeezing properties.
The authors develop a Monte Carlo sampling algorithm to numerically evaluate the finite-temperature single-particle Green's function and spectral function for the repulsive Lieb-Liniger model across all interaction strengths and temperatures, including generalized Gibbs ensembles, with results showing excellent agreement against known limits.
This paper develops a perturbative scattering theory to predict and validate that resonantly driven, weakly coupled atomic ensembles generate non-Gaussian light with a non-vanishing third-order correlation function, a phenomenon confirmed by simulations and anticipated to be observable in state-of-the-art nanofibre-coupled experiments.
This paper proposes an analog thermodynamic coprocessor based on open quantum systems that performs parallel vector-matrix multiplications with stochastic matrices in a time independent of input size by encoding inputs as reservoir occupancies and reading outputs as stationary energy flows, while establishing a direct mapping between these quantum dynamics and electrical crossbar structures.
This paper demonstrates the realization of synthetic gauge fields and robust chiral light transport on a programmable photonic processor by implementing discretized Floquet drives that combine static and dynamic phases to break time-reversal symmetry and engineer controllable directional flow.
This paper proposes a mechanism to transfer quantum entanglement from a nonlocal photon to non-Gaussian continuous variable states, demonstrating that while the process is probabilistic with standard squeezed vacuum states, it can be made nearly deterministic (>98% probability) by utilizing single-photon-subtracted states, thereby offering an optimal trade-off between success probability and output brightness for quantum applications.
This paper establishes a unified framework based on convex geometry and representations to construct and inter-convert quantum error-correcting codes across permutation-invariant, bosonic, and nuclear state spaces, yielding new families with near-linear distance scaling and improved parameters through the application of Tverberg's theorem and Sidon sets.
This paper demonstrates that the multi-modal, multi-level quantum complex exponential least squares (MM-QCELS) algorithm significantly enhances the efficiency and resolution of nuclear magnetic resonance (NMR) spectral analysis by extracting accurate spectral features with up to an order of magnitude fewer signal evaluations compared to conventional Fourier transform methods.
This paper proposes a compact metasurface-based analyzer that simultaneously performs dual-basis polarization projections to efficiently witness quantum entanglement, thereby halving measurement overhead and enabling scalable chip-scale quantum technologies.
This paper demonstrates that noninteracting -state Fock parafermions on a one-dimensional lattice can be mapped to simpler -state parafermions (or fermions when is a power of two), enabling the construction of solvable parafermionic Hamiltonians with single-particle spectra identical to their fermionic counterparts.
By replacing restrictive analytic assumptions with simulation-guided stochastic tree search, this study demonstrates that computationally discovered pulse sequences can significantly outperform traditional designs in many-body spin systems, unlocking unprecedented control resolution to overcome hardware-imposed performance limits.