1134 papers
This paper proposes a revised eigenstate thermalization hypothesis based on an effective open-system description and a new quasiparticle number definition, demonstrating that quantum many-body scars and their anomalous dynamics in kinetically constrained systems arise from low-density-of-states regions on the energy-quasiparticle-number plane.
This paper validates the viability of a deterministic protocol for distributing macroscopic entanglement across large atomic ensembles by developing advanced numerical techniques that confirm the scheme's robustness against moderate dephasing and its scalability up to $10^6$ particles.
This paper introduces Simulated Bifurcation-based Configuration Interaction (SBCI), a classical mechanics-inspired algorithm that significantly reduces the computational cost of high-accuracy electronic structure calculations while maintaining reliability comparable to standard methods.
This paper investigates the periodic dynamics of a driven spin-one chain with -valued conserved quantities, revealing a rich phase diagram that includes quantum many-body scar states at high frequencies, ergodic thermalization at lower frequencies, and distinct regimes of prethermal strong and weak Hilbert space fragmentation at specific drive frequencies.
This paper presents a theoretical framework demonstrating that hyperbolic phonon polaritons in anisotropic 2D materials, such as -MoO, can mediate and enhance long-range, highly directional mid-infrared energy transfer between dipoles at room temperature, extending interactions far beyond the near-field limits of conventional platforms.
This paper introduces and compares "escalator" and "elevator" approaches for vertical ion transport in surface Paul traps, demonstrating methods to dynamically adjust ion confinement height by nearly twofold to enhance laser interaction tuning, heating studies, and cavity alignment.
This paper argues that the additivity assumption is indispensable for deriving the Born rule, demonstrating that it cannot be deduced from non-contextuality and normalization alone and is essential to avoid loopholes in major existing derivations, thereby suggesting that intrinsic probability in quantum mechanics cannot be derived solely from non-probabilistic postulates.
This paper proposes a global-scale, end-to-end secure Quantum Key Distribution network using a ring constellation of LEO satellites that eliminates trusted-node vulnerabilities by combining Twin-field QKD with a redundant XOR-based key-forwarding protocol, demonstrating that increasing constellation size simultaneously enhances security and achieves multi-gigabit daily secret key rates.
This paper introduces a novel framework for constructing nonclassicality witnesses in multiplexed photon-counting systems by utilizing generalized counting statistics and half-integer powers of click moments, thereby exponentially increasing the number of applicable criteria for detecting nonclassical light, including in parity states and multimode correlations.
This paper introduces a unified, computable framework based on quantum tester formalism and semidefinite programming to determine the ultimate precision limits for multiparameter quantum estimation, systematically optimizing diverse quantum resources and establishing a strict hierarchy among various strategies.
This paper introduces the concept of the optimal stabilizer ground state as the highest-fidelity stabilizer approximation to a Hamiltonian's true ground state and demonstrates its efficient preparation and refinement via a genetic algorithm within measurement-based deterministic imaginary time evolution, offering a polynomially scaling quantum resource cost for quantum simulation.
This paper introduces a data-driven, interpretable variational model that effectively detects optical nonclassicality in multimode quantum states using limited experimental data from various photon-number-resolving detection schemes, overcoming the limitations of traditional witnesses in realistic scenarios.
This paper demonstrates that a triangular exchange-only spin qubit operated at a leakage-protected idle point, where simultaneous and equal pairwise exchange interactions create an energy gap, achieves superior dephasing times compared to conventional designs while enabling precise all-to-all exchange control for improved performance and novel encodings.
This paper demonstrates the successful preparation of 100-qubit symmetry-protected topological order on IBM quantum hardware with high fidelity by employing a tensor network-based approximate quantum compiling protocol to generate shallow circuits, thereby validating current quantum processors as versatile platforms for studying large-scale emergent many-body phenomena.
This review establishes a thermodynamic framework based on entropy production to analyze quantum coupled transport in nanoscale systems, demonstrating how conventional thermoelectric effects and inverse currents naturally emerge in single- and three-terminal quantum dot setups through the interplay of energy and particle fluxes.
This paper proposes a novel quantum algorithm based on a master equation and quantum amplitude estimation to simulate the collision-coalescence of cloud droplets, achieving a quadratic scaling of in T gates compared to the exponential scaling of classical methods.
This paper establishes that the late-time dynamical scaling of strong-to-weak spontaneous symmetry breaking in one-dimensional open quantum systems is universally controlled by the symmetry class of the Lindbladian rather than its spectral gap structure, resulting in exponential growth of the Rényi-2 correlation length for symmetry and algebraic, filling-dependent scaling for U(1) symmetry.
This paper proposes a practical quantum feedback cooling strategy that stabilizes target states by approximating complex state-based control laws with simple measurement-record filtering, thereby eliminating the need for computationally expensive real-time quantum state estimation.
This paper introduces a greedy scheduling algorithm for the Active Volume architecture that assigns logical qubit roles to derive novel overhead formulas, significantly improving resource estimate accuracy and runtime predictions to enable larger circuits to run on existing hardware.
This paper introduces a unified framework bridging stabilizer decompositions and tensor network contraction to develop two new, memory-efficient classical simulation algorithms for quantum circuits whose runtimes are governed by the tree-width or rank-width of the associated tensor network, while also proposing refined complexity measures for tighter performance bounds.