ABSTRACT We investigate quantum entanglement, coherence, non‐Markovianity, and teleportation in Bernal‐stacked bilayer silicene (BBS) described by a tight‐binding Hamiltonian including mass and voltage terms. The noiseless dynamics is mapped onto a Dirac equation with pseudovector and tensor fields, while environmental noise is modeled as random fluctuations in the bias voltage and mass. Using open quantum system techniques, we demonstrate that the bias ratio, defined as the ratio between the bias voltage parameter and the interlayer coupling strength, serves as a powerful control parameter governing the quantum properties of the system. Entanglement entropy and quantum coherence exhibit a clear transition from pronounced oscillatory behavior at weak coupling to stable, maximally entangled and coherent states at strong coupling. The non‐Markovianity measure peaks at intermediate coupling, where memory effects and information backflow are maximally enhanced, marking a transition from non‐Markovian to Markovian dynamics as environmental memory diminishes. Under non‐Markovian noise, increasing the noise bandwidth parameter enhances the resilience of quantum correlations. When the noise bandwidth exceeds a certain threshold, the teleportation fidelity exhibits a significant enhancement, reflecting the improved robustness of the quantum state‐transfer dynamics. Our results demonstrate that BBS provides a versatile theoretical platform for investigating how the bias voltage and the noise bandwidth parameter influence entanglement, coherence, non‐Markovian dynamics, and teleportation fidelity.
ABSTRACT We investigate a polarization‐selective transport scheme based on two V‐type atoms chirally coupled to a waveguide, where each atom exhibits polarization‐dependent optical transitions. An external driving field coherently couples the excited states of the atoms, enabling efficient and controllable polarization conversion during photon transport. For an incident photon prepared in a single polarization state, the system exhibits polarization‐dependent unidirectional transmission and reflection, arising from the chiral atom–waveguide interaction. Moreover, the external driving field allows polarization conversion to occur selectively within the transport channels. When the incident photon is prepared in a superposition of polarization states, the system simultaneously realizes polarization‐selective transmission and reflection, with the transport behavior dynamically controlled by the driving field. This scheme provides a tunable platform for directional transport of single photon with different polarization components, offering a versatile platform for photonic systems with simultaneous control over polarization and propagation direction.
ABSTRACT The Mpemba effect is the counterintuitive phenomenon, where some states relax faster than others despite being initially farther from equilibrium. In quantum systems, realizing this effect typically requires fine‐tuned dissipation or carefully engineered initial states, making it fragile to disorder. Here, we uncover a robust statistical quantum Mpemba effect arising from Griffiths rare‐region physics in a one‐dimensional dissipative lattice. Sparse local losses fragment the system into random loss‐free regions that host long‐lived quasi‐bound modes with broadly distributed lifetimes. We show that simple extended Bloch states, although having identical density profiles, couple very differently to these modes: a uniform state predominantly excites slowly decaying modes, while a phase‐modulated state couples more strongly to rapidly decaying ones. This mismatch produces a disorder‐robust inversion of relaxation times, where the initially “farther” state relaxes faster. Our results identify Griffiths rare‐region physics as a robust mechanism for quantum Mpemba dynamics in disordered quadratic open quantum systems.
ABSTRACT Shared microwave lines reduce cryogenic wiring in superconducting processors, but a pulse sent through one line drives the dressed circuit instead of an isolated qubit. This network response can reflect energy and load spectator modes. In this work, we design microwave waveforms from reflection zeros of the dressed one‐port response. A zero sets both the microwave carrier and the finite envelope rise rate , so the incident field cancels the field re‐emitted into the input port during loading. A three‐qubit input‐output model and transient Advanced Design System simulations of weakly nonlinear Josephson circuits test this loading rule in the weak‐drive regime. Compared with equal‐energy Gaussian pulses at the same carriers, reflection‐zero waveforms raise target selectivity from 0.386–0.484 to 0.842–0.934 and crosstalk‐suppression ratios from 1.185–1.353 to 6.668–18.340. A ten‐qubit calculation further tests the construction in a larger crowded shared‐line network. In a lossy circuit, the true reflection‐zero drive preserves target loading while raising the crosstalk‐suppression ratio from 3.84 to 8.45 relative to a conjugate‐pole drive. The construction supplies the network‐matching stage of frequency‐multiplexed superconducting control and provides an initial envelope for subsequent gate calibration.
ABSTRACT Structural engineering offers a powerful way to control light in photonic lattices, but realizing multiple topological phases within a single lattice platform remains challenging. Here, we theoretically investigate decorated honeycomb photonic lattices (DHPLs), a hybrid geometry that combines key features of honeycomb and Lieb lattices, and show that they provide a flexible platform for topological photonics. Owing to their multi‐site unit cell, DHPLs support a broad range of topological phenomena under different modulation schemes. With Su–Schrieffer–Heeger‐type coupling asymmetry, the lattice exhibits flat‐band features and strongly localized higher‐order corner states that remain robust against structural perturbations. Under longitudinal helical modulation, the system enters a Floquet topological phase and supports unidirectional chiral edge transport through dynamically broken time‐reversal symmetry. When intrinsic pseudospin–orbit coupling is introduced, the Dirac‐point degeneracy is lifted, and spin‐dependent edge states emerge, as characterized by nonzero spin‐resolved Chern numbers. These results establish DHPLs as a versatile platform for studying distinct topological phases in a unified photonic setting and suggest opportunities for high‐density topological waveguide arrays and spin‐dependent photonic devices.
ABSTRACT We propose and numerically demonstrate a novel design to increase the spacing between spatial degenerate modes within the same mode group in a weakly coupled few‐mode hollow‐core anti‐resonant fiber (HC‐ARF). Increasing the core radius toward the mode lobes of a specific mode, rather than toward its mode field nodes, selectively raises its effective refractive index. This method is implemented by constructing an asymmetric core using cladding tubes of different radii in a six‐tube conjoined‐tube anti‐resonant fiber (CT‐ARF). The design eliminates the degeneracy between the LP 11a and LP 11b modes without inducing significant birefringence or compromising low‐loss operation. The optimized six‐tube CT‐ARF supports three weakly‐coupled modes (LP 01 , LP 11a and LP 11b ) within the wavelength range of 1330–1630 nm. Over this band, the effective refractive index differences between adjacent guided modes are consistently greater than 1.0 × 10 −4 . Within the wavelength range of 1410–1560 nm, the confinement losses for all three modes are below 2.68 dB/km. In addition, this approach is scalable to a five‐mode weakly‐coupled HC‐ARF, increasing the total number of supported weakly‐coupled modes from 5 to 8 by eliminating degeneracy within the LP 11 , LP 21 , LP 31 mode groups. This design is well suited for short‑reach, high‑capacity, low‑latency mode‑division multiplexing systems.
ABSTRACT A theory of plasmonic transduction is developed for an electromagnetically induced transparency (EIT) sensor formed by a ‐configuration quantum emitter near a graphene nanodisk. The control transition is tuned near the fundamental localized graphene plasmon, while the probe transition provides an off‐resonant weak readout. The nanodisk dresses the control pathway through a local‐field factor and an effective complex self‐induced interaction, which renormalize the control Rabi frequency and Raman coherence. From the modal disk polarizability, the weak‐probe susceptibility is derived and two regimes are identified: graphene‐renormalized EIT and strong plasmon‐mediated modification. Absorption and dispersion readouts are quantified through a normalized, readout‐specific spectral Fisher information. The central result is a finite‐detuning operating principle: optimal sensing occurs away from plasmon resonance, where the graphene response remains strong while the EIT feature remains spectrally readable. At an emitter–disk separation of , optimization over disk radius, Fermi energy, and detuning yields unit‐noise bounds and . The mechanism remains visible under substrate screening, graphene‐material variations, and few‐nanometer emitter offsets, supporting finite detuning as a design parameter for hybrid quantum‐emitter/graphene EIT sensing.
ABSTRACT Fast charging is a pivotal and fundamental performance metric in quantum battery (QB) research. Here, we investigate the fast‐charging performance of the Lipkin–Meshkov–Glick QB based on shortcuts to adiabaticity (STA). We mainly consider a scenario where the coupling strength between arbitrary two sites in the QB varies sinusoidally over time. We demonstrate that the STA protocol can remarkably enhance the charging efficiency. During the charging cycle, STA drives the periodic evolution of stored energy, coherence relative entropy, and energy fluctuations, and effectively suppresses energy fluctuation magnitude. We reveal that quantum coherence serves as a crucial quantum resource for boosting the charging efficiency of a QB. We analyze the influences of the anisotropy parameter, driving field amplitude and frequency, as well as particle number on the overall battery performance and show that efficient charging and prominent charging advantages can be realized by modulating these physical parameters. We further evaluate the energy cost throughout the charging process, and confirm that the maximum energy cost per particle can be reduced via appropriate tuning of driving field parameters. Our results offer valuable insights into the optimal design and practical implementation of high‐efficiency fast‐charging QB.
ABSTRACT Disease surveillance is vital for public health security, allowing early outbreak detection, reducing transmission, safeguarding population health, and aiding emergency response. This paper proposes a quantum disease surveillance algorithm based on private set intersection (PSI). Specifically, we use the BHT algorithm to solve the PSI problem and improve computational efficiency through candidate subset preprocessing and quantum parallel search mechanisms. It achieves a polynomial speedup over previous algorithms by reducing the communication complexity from to and optimizing the round complexity to a constant, thereby substantially reducing the data transmission overhead. Simulation experiments on the IBM quantum platform verify the correctness and feasibility of our algorithm. Security analysis shows that our algorithm effectively resists both insider and outsider attacks while satisfying privacy‐preservation requirements in disease surveillance scenarios, specifically protecting the privacy of individual clients and the server.
ABSTRACT This work proposes a Quantum Enhanced Genetic Algorithm (QEGA) that synergistically integrates three quantum‐inspired operators: a Grover adaptive search‐based selection mechanism, a swap test‐guided crossover scheme, and a quantum walk‐driven mutation process. By harnessing quantum amplitude amplification, entanglement recombination, and probabilistic exploration, QEGA pioneers the integration of quantum computational advantages into evolutionary optimization for quantum neural network parameters. The algorithm enhances global search effectiveness while accelerating convergence and exhibiting robust resistance to local optima. Experimental results on three benchmark datasets, i.e., Iris, the plane point set, and MNIST binary classification, demonstrate that QEGA outperforms classical genetic algorithms and quantum optimization algorithms from recent studies by a substantial margin on classification tasks. Specifically, it attains a peak accuracy of 98.67%, 99.16%, and 98.00% on the three datasets, respectively, accompanied by consistently smooth and monotonic convergence behaviors across the evaluated trials. These findings validate QEGA's potential as a versatile optimization framework for quantum neural network training and highlight the broader promise of quantum‐enhanced evolutionary computation in practical machine learning applications.
ABSTRACT Heralded photonic state engineering has become a promising approach for generating non‐Gaussian quantum resources using experimentally accessible Gaussian operations and conditional measurements. Existing Gaussian state engineering methods mainly target continuous‐variable non‐classical states, whereas the systematic generation of heralded multipartite entangled states remains largely unexplored. In this work, a Gaussian state engineering framework enhanced by photon addition and subtraction for heralded generation of entangled states is developed. By combining single‐mode squeezing, linear interferometers, and conditional photon‐number measurements on ancillary modes, the model probabilistically generates dual‐rail encoded Bell, GHZ, and W states. Squeezing parameters and interferometer settings are systematically optimized to maximize both heralding success probability and fidelity with target states. Results demonstrate that photon addition and subtraction significantly enhance output state non‐classicality and improve generation performance while maintaining computational efficiency comparable to single‐photon source models. Further analysis of the scheme's robustness under parameter perturbations indicates that performance remains stable under realistic experimental imperfections. This work provides a versatile and experimentally feasible framework for scalable heralded entanglement generation using Gaussian resources with non‐Gaussian operations.
ABSTRACT Quantum identity authentication (QIA) can provide quantum‐interface evidence for quantum secure communication, but its interaction with public transcript handling remains insufficiently characterized. This work analyzes a raw‐feedback QIA interface based on BB84 states and operating over an authenticated classical channel, where transcript integrity is protected but receiver feedback is public. First, we establish a no‐feedback benchmark: direct impersonation reduces to binary discrimination of value‐conditioned BB84 mixed states, for which unambiguous state discrimination is impossible and maximum‐confidence discrimination gives no forced‐response advantage over minimum‐error discrimination. Second, we identify a transcript‐conditioned leakage mechanism: when an adversary retains a quantum auxiliary system, public raw feedback can condition that system into a pure‐state discrimination instance for basis‐selection information. We quantify this leakage using guessing probability, conditional min‐entropy, accessible information, and an information‐disturbance tradeoff. Third, we separate leakage from exploitation: the leakage becomes an impersonation advantage only under implementation deviations such as key‐block reuse, weak session binding, abort‐handling failure, or overly permissive thresholds. These results yield conservative authentication‐length and threshold conditions for noisy and lossy optical implementations.
A set of orthogonal quantum states in multipartite systems is of genuine nonlocality if it is locally indistinguishable in every bipartition. If it is locally reducible when the parties are separated, we say that it has genuine nonlocality of type~\uppercase\expandafter{\romannumeral 1}; otherwise, it has genuine nonlocality of type~\uppercase\expandafter{\romannumeral 2}. For a locally distinguishable set without local redundancy, if there exist some orthogonality preserving local measurements such that each outcome leads to a locally indistinguishable set, then we say that it exhibits the activation of nonlocality. We activate type-\uppercase\expandafter{\romannumeral 1} and type-\uppercase\expandafter{\romannumeral 2} genuine nonlocality of orthogonal product state sets in tripartite systems. In particular, we tackle the local irredundancy problem with partial trace operation and $p$-ary numeral systems to significantly simplify the proofs. Our results also address the open question raised by S. Bandyopadhyay \textit{et al.}[\href{https://link.aps.org/doi/10.1103/PhysRevA.104.L050201}{Phys. Rev. A \textbf{104}, L050201 (2021)}]. Furthermore, we observe the activation of hidden genuine nonlocality in multipartite systems, which highlights the applications of nonlocality based on state discrimination in different practical scenarios.
ABSTRACT High‐fidelity quantum sensing with nitrogen‐vacancy (NV) ensembles is critically dependent on the precise optimization of microwave control pulses. A significant challenge for the industrial‐scale deployment of these sensors is the poor transferability of optimized control protocols, as performance degrades substantially when a protocol for one specific device is applied to another, necessitating a costly and time‐intensive recalibration for each new scenario. This problem stems from unavoidable device‐to‐device variations such as material inhomogeneities, manufacturing tolerances, differences between diamond samples, as well as from dynamic environmental factors like temperature fluctuations and stray magnetic fields. In this work, data‐driven optimization techniques are applied to meta‐learn quantum‐control protocols for NV‐ensembles that generalize across hardware and environmental variations. It is demonstrated experimentally that the best meta‐learned optimizers can learn nearly optimal protocols and adapt to unseen conditions in as few as iterations, representing an improvement of several orders of magnitude relative to state‐of‐the‐art. The resulting transferable surrogate models can rapidly adapt to new, unseen device characteristics, representing a critical shift from single‐device optimization to a more robust and scalable strategy for high‐fidelity NV‐based quantum sensing in practical applications.
We propose a scheme to simulate and manipulate polariton transport in a 2D platform consisting of nitrogen-vacancy centers individually embedded in photonic crystal cavities. We show how a synthetic gauge phase pattern and a chemical potential control polariton transport by establishing a nonreciprocal band structure. This band structure arises from the accumulated Peierls phases during photon hopping and their spatial mismatch at the interface. We demonstrate that this approach allows precise control over light flow, including the direct observation of novel phenomena such as negative refraction. Our work establishes a versatile framework for exploring polariton transport phenomena in tailored quantum hybrid platforms.
ABSTRACT Quantum optical coherence tomography (QOCT) has received significant attention due to its immunity to even‐order dispersion and its ability to double the resolution compared to conventional optical coherence tomography (OCT). However, QOCT typically relies on nonlinear processes to generate frequency‐correlated photon pairs as a probe state. The high‐power pump laser requirement poses a major barrier to practical implementations of QOCT. In this paper, we propose the substitution of spectrally correlated photon pairs in QOCT with the weak multimode coherent state as the input source. Through integration with post‐selective spectral‐domain measurement techniques, we demonstrate that our scheme preserves the advantages of QOCT, including even‐order dispersion cancellation and a two‐fold increase in resolution. The key advantage of our scheme is its removal of the requirement for nonlinear‐process‐generated spectrally correlated photon pairs as the light source. This advancement is particularly beneficial for practical applications of QOCT.
