1065 papers
This paper presents a uniform mathematical framework and an efficient algorithm to determine the isomorphism type of dynamical Lie algebras generated by sets of Pauli strings by leveraging quadratic spaces over .
This paper investigates the semi-infinite square potential well by deriving rules for the number of bound states, correcting a flawed graphical simplification found in standard textbooks, and providing accurate approximations and exact solutions for the energy eigenvalues and eigenfunctions.
This paper demonstrates the successful experimental implementation of a quantum Markov Chain Monte Carlo algorithm on Quantinuum's H2 and Helios quantum computers, proving that accurate results can be achieved on current Noisy Intermediate Scale Quantum (NISQ) hardware by directly operating on physical qubits.
This paper introduces a hybrid stochastic method that achieves exact tensor network contraction by sampling loop corrections to Belief Propagation via Markov chain Monte Carlo, thereby eliminating systematic errors on loopy graphs while providing unbiased estimates with controllable statistical error across all parameter regimes.
This paper analytically investigates the Transfer Tensor Method using a solvable Jaynes-Cummings model to demonstrate that while the method's transfer tensors and the Nakajima-Zwanzig memory kernel converge in the continuous-time limit, they differ at finite time discretizations, revealing specific parameter regimes where non-Markovian dynamics can be effectively described as Markovian.
This paper demonstrates a reversible, non-destructive method to enhance blue single-photon emission from hexagonal boron nitride at room temperature by using mid-infrared co-excitation to resonantly drive defect-localized phonon modes, thereby modulating carrier dynamics through phonon-assisted recombination.
This paper extends a classical canonical framework for analyzing composite pulse robustness to two-dimensional distributions of initial states on the Bloch sphere, demonstrating that while Levitt's $90(x)180(y)90(x)$ sequence remains largely robust against initial state imperfections, numerical optimization can identify variants that achieve superior coherent population inversion.
This paper introduces a time-conditioned Swin Transformer framework for continuous-variable quantum error mitigation that enables accurate state recovery in long-time regimes beyond the training horizon by explicitly embedding evolution time to capture continuous noise accumulation and nonlocal correlations.
This paper elaborates on the space-sharing argument to establish the tightness of entropic quantum Singleton bounds for entanglement-assisted classical coding, while also deriving a new tight bound for scenarios where entanglement assistance is distributed across a subset of encoders under local quantum operations.
This study demonstrates that electrically driven Loss-DiVincenzo spin qubits exhibit a linear Rabi frequency scaling with microwave drive amplitude even under simultaneous multi-qubit driving, thereby refuting the notion that previously observed nonlinearities are a general characteristic of such systems.
This companion paper details the geometric and computational framework behind numerical solutions to the spherical grasshopper problem, analyzing optimal lawn configurations and their significance for approximating quantum singlet correlations through spherical harmonics and connections to geometric probability.
This paper presents an efficient closed-loop optimization method for two-qubit gates in nitrogen-vacancy centers that evaluates gate performance using only two quantum states, reducing the required measurements by two orders of magnitude compared to standard process tomography.
This paper investigates a massless Dirac field confined between two parallel walls in dimensions, demonstrating that the field's parity under midplane reflection determines whether the resulting Casimir force is attractive or repulsive and governs the symmetry of associated vacuum-induced currents, including a transverse Hall-like current in 2+1 dimensions.
This paper presents a quantum sensing protocol that achieves ultimate precision in estimating the three-dimensional momentum difference between two photons using spatially resolved two-photon interference, requiring only approximately 2,000 sampling measurements with less than 1% bias.
This paper demonstrates a scalable quantum photonic platform by heterogeneously integrating high-Q diamond photonic crystal cavities with a thin-film lithium niobate backbone, enabling efficient, low-loss photon transfer and collection from silicon vacancies for practical quantum networking.
This paper extends communication-based approaches to distinguish quantum theory from broader probabilistic frameworks by systematically characterizing relevant communication tasks and deriving new operational constraints that reveal a broad family of previously undetected implausible behaviors, thereby reinforcing communication as a fundamental lens for identifying physically meaningful theories.
This paper demonstrates that in quantum group-deformed spin systems, conventional local measurements on a Bell singlet state introduce deformation-dependent biases, which can only be resolved by adopting a symmetry-covariant, braided notion of locality that restores unbiased statistics while preserving perfect anticorrelation.
This paper introduces a symmetry-based multi-reference perturbation theory (SBPT) that leverages enhanced symmetries in a reference Hamiltonian to significantly reduce computational costs in both classical configuration interaction and quantum computing applications, while offering scalable solutions and improved robustness for various molecular systems.
This paper characterizes and upgrades a hybrid quantum-classical graph neural network for charged particle track reconstruction in high-luminosity LHC environments, demonstrating improved training convergence and behavior through the integration of parametrized quantum circuits.
The paper introduces Metriq, an open-source collaborative platform that unifies benchmark definition, execution, and data collection to enable reproducible, cross-platform performance assessment of quantum computers through a diverse suite of metrics and a composite Metriq Score.