1157 papers
The paper introduces O-Sensing, a protocol that uses parsimony-driven optimization and spectral entropy maximization to reconstruct the Hamiltonian, interaction geometry, and symmetries of a quantum many-body system directly from a few low-lying eigenstates, even when the underlying connectivity is unknown.
This paper demonstrates that a local derivation scheme for the GKSL master equation more accurately captures the crossover dynamics of a qubit coupled to a dissipative impurity in experimentally relevant regimes, whereas the global full secular approximation is restricted to cases with well-separated energy scales.
This paper presents a systematic study of communication-convergence-noise trade-offs in Quantum Federated Learning, introducing structured parameter reduction and a Hybrid QFL architecture that significantly lowers quantum transmission costs and enhances noise resilience while preserving convergence.
This paper investigates the emergence of non-quantized fractional topological invariants in open Su-Schrieffer-Heeger chains governed by Lindblad dynamics, demonstrating that while these invariants lose conventional quantization, their total winding can be restored to integer values by extending the Brillouin zone, with observable signatures proposed for photonic lattices via Bloch state tomography.
This Letter demonstrates that the charging performance of periodically driven collective quantum batteries is fundamentally determined by many-body structural features, identifying long-range nonintegrability as a critical resource for achieving fast, scalable, and robust energy storage.
This paper introduces a kinematic budget framework that maps quantum correlations onto two-dimensional manifolds governed by state purity and time-reversal symmetry, thereby revealing a universal structural hierarchy of quantum resources and enabling their efficient characterization without exponential tomography.
This paper introduces a discontinuous Galerkin time-domain method that computes Casimir forces by recasting the Maxwell stress tensor into classical scattering problems driven by dipolar excitations, enabling accurate evaluation of interactions across diverse geometries and material properties at finite temperatures.
This paper proposes a universal cooling strategy for interacting quantum networks that utilizes collective coupling to an ancilla spin and graph-theoretic analysis to identify specific non-commuting interactions, thereby overcoming symmetry constraints to efficiently purify mixed states into a computational-zero pure state across diverse temperature regimes.
This paper introduces a unified framework for stabilizer-based resource distillation in prime-dimensional systems by formulating stabilizer routines as quantum channels with closed-form outputs, thereby enabling the efficient optimization of protocols for diverse tasks like secret-key distillation through the exploitation of resource measure invariances.
This paper introduces the imaginary-time truncated Wigner approximation (iTWA), a semiclassical phase-space method that maps the evolution of the density matrix to stochastic differential equations, enabling efficient and accurate calculation of ground states and thermal properties for large interacting spin systems, including frustrated models and those exhibiting quantum phase transitions.
This paper derives a quantitative, variance-based analytical expression demonstrating that in nonuniformly heated radiative-conductive systems, the reduction in mean temperature relative to an isothermal equilibrium is linearly proportional to the temperature variance, with a proportionality coefficient determined solely by the ambient temperature.
This paper introduces a spectrally corrected polynomial approximation method for Quantum Singular Value Transformation that leverages prior knowledge of a subset of a matrix's eigenvalues to enforce exact interpolation at those points without increasing polynomial degree, thereby significantly reducing circuit depth while maintaining high fidelity and robustness.
This paper introduces a novel framework for quantum hypothesis testing and semidefinite optimization by interpreting measurement operators as fermionic systems, thereby defining "Fermi-Dirac machines" that utilize parameterized thermal measurements to approximate optimal solutions through hybrid quantum-classical learning algorithms.
This paper introduces the Deterministic Quantum Jump (DQJ) method, a novel approach that eliminates the inefficiency of stochastic sampling in standard quantum jump methods for weakly dissipative systems, thereby offering a more accurate and efficient tool for simulating open quantum dynamics relevant to quantum technologies.
This paper addresses the conceptual and technical challenges of defining operational reference frames and relational observables in gauge systems like General Relativity, particularly within a non-perturbative quantum field theory context, by deriving and exploring a general formula for relational reference frame transformations (RRFT) to clarify the relationship between gauge reduction, quantization, and physical interpretation.
This paper demonstrates a record-breaking, air-stable, and bright entangled photon-pair source by encapsulating ferroelectric NbOI2 in graphene, which effectively suppresses environmental degradation and pump-induced heating to enable scalable on-chip quantum photonics.
This paper proposes a novel quantum annealing-based approach for the Steiner Tree Problem by formulating it as a quadratic unconstrained binary optimization (QUBO) model with a specific encoding strategy, demonstrating through experiments that the method effectively balances solution quality and computational efficiency for moderate-scale instances.
This paper proposes a novel agrivoltaic framework that utilizes spectral bath engineering to filter sunlight through organic photovoltaic panels, thereby exploiting non-Markovian quantum coherence to simultaneously enhance photosynthetic efficiency by up to 25% and achieve 18.8% power conversion while ensuring environmental sustainability.
This paper investigates quantum entanglement between two quantum dots coupled via a Majorana wire, revealing that while entanglement peaks at zero-energy alignment in the absence of correlations, optimal hybridization is required for detuned levels, and providing strategies to maintain robust entanglement at finite temperatures through fermionic negativity, concurrence, and mutual information analysis.
This paper proposes a time-aware beam search heuristic that efficiently partitions quantum circuits for distributed computing by incrementally optimizing qubit assignments across time steps to minimize communication overhead, outperforming static and metaheuristic baselines with superior scalability.