1015 papers
This paper proposes and theoretically validates a cavity-based electromagnetically induced transparency (EIT) technique for efficiently measuring the temperature and phonon occupation of trapped ions in the resolved-sideband regime, offering a simplified thermometry tool applicable to both strong and weak coupling cavity QED systems.
This review paper demonstrates that spatial torsion in Metric-Affine Gravity induces non-linear quantum fluctuations affecting spinless degrees of freedom through the Stochastic Variational Method, revealing a competitive interplay with Levi-Civita curvature and a structural parallelism with information geometry.
This paper introduces RASCqL, a reaction-time-limited architecture that leverages application-tailored qLDPC codes and reconfigurable neutral-atom arrays to achieve significant reductions in qubit footprint and space-time volume for complex quantum algorithms without requiring new hardware capabilities.
This paper investigates the dynamical consequences of the non-Hermitian skin effect by applying quantum Liang information flow to a non-reciprocal Su-Schrieffer-Heeger model, revealing a scissors effect in directional asymmetry, NHSE-induced information blocking, and three distinct temporal regimes that establish the first quantitative link between static skin localization and directional information dynamics.
This paper experimentally demonstrates on IBM quantum hardware that noise-induced barren plateaus do not necessarily occur, as gradient magnitudes saturate rather than decay exponentially due to -dominated non-unital noise, challenging the assumption that noise universally hinders variational quantum algorithms.
This paper investigates the diffusive behavior of a quantum particle driven by correlated Gaussian noise by deriving the analytical solution for its joint probability density function and obtaining explicit expressions for the mean square momentum and mean square displacement.
This paper proposes a bidirectional remote state preparation protocol utilizing quantum walks on independent lattices and cycles, which dynamically generates the necessary entanglement to eliminate pre-shared resources and functions effectively in both uncontrolled and controller-assisted configurations.
This paper proposes that the fundamental principles of flat-space isotropy and homogeneity impose a strict tradeoff with nonlocality, uniquely determining the Tsirelson bound as the maximum possible degree of nonlocality in nature and suggesting that the probabilistic nature of quantum mechanics emerges from these spacetime symmetries.
This paper investigates the Klein-Gordon oscillator within a doubly special relativity framework featuring linear-fractional deformed Casimirs, deriving exact spectra and eigensolutions for timelike, spacelike, and lightlike deformations while establishing a pseudo-Hermitian formulation and comparing the spectral shifts to the Magueijo-Smolin model.
This paper demonstrates that the Quantum Hamilton-Jacobi equations for particles with constant mass, position-dependent effective mass, and non-Hermitian Swanson models can be reformulated as Cayley-Klein Riccati equations possessing a Lie-Hamilton structure, thereby enabling the derivation of their associated Lie symmetries and integrals.
This comprehensive review defines Quantum Deep Learning (QDL) through a four-paradigm taxonomy, critically assesses its theoretical foundations and experimental implementations across various hardware systems, and outlines a verification-aware roadmap for transitioning from near-term demonstrations to scalable, fault-tolerant applications.
This paper establishes a unified security threshold for interactive authentication over noisy quantum channels by upper-bounding Eve's forgery probability with a Holevo-type quantity derived from min-entropy estimates, thereby proving the protocol is both -secure and composable against forgery and key leakage.
This paper argues that resilience must be established as a fundamental design constraint in integrated classical-quantum computing systems by developing new quantitative models and metrics, drawing inspiration from civil engineering to accurately assess the cost-benefit ratios of system improvements and their cascading impacts on end-user value.
This paper proposes a nonlocal extension of the generalized Dirac oscillator in (1+1) dimensions by replacing multiplicative interactions with integral operators, deriving conditions for pseudo-Hermiticity, establishing a nonlocal-to-local mapping to identify spurious solutions, and demonstrating the framework through analytically tractable benchmarks and a finite-rank separable model.
This paper demonstrates that decoder choice and estimator design significantly impact surface-code threshold inference, revealing that while Minimum-Weight Perfect Matching (MWPM) consistently outperforms Union-Find and is closely tracked by neural-guided variants in both standard Pauli and hybrid continuous-variable/discrete noise models, learned guidance introduces specific robustness concerns that must be reported alongside threshold curves.
This paper proposes a hybrid quantum-classical autoencoder and variational autoencoder framework utilizing Quantum Implicit Neural Representations (QINR) to achieve stable, high-quality image reconstruction and generation with enhanced diversity and sharp details compared to existing quantum generative models.
This paper introduces an efficient classical simulation method for quantum circuits using ZX-calculus that scales with rank-width, offering significant performance improvements over existing tensor contraction libraries through novel heuristics for rank-decomposition.
This paper explores how integrating quantum computing, sensing, and communication technologies into electrical grid edge devices can overcome the limitations of traditional systems by enabling faster optimization, atomic-precision measurements, and information-theoretic security, while also addressing the associated challenges and future directions.
Using a self-consistent renormalization group approach, this paper demonstrates that strong coupling to thermal bosons can robustly enhance a superconductor's critical temperature by balancing density fluctuations and boson-induced attraction, with potential applications in cold atomic systems and van der Waals heterostructures.
This paper introduces heterogeneous quantum error-correcting codes that strategically arrange qubits with distinct error rates or biases to significantly boost error thresholds and logical performance, revealing that placing noisier qubits in the bulk or high-bias qubits on the boundary optimizes protection while exhibiting a surprising bias-inversion phenomenon.