1134 papers
This paper investigates how the angular momentum quantization of Rydberg atoms creates distinct, universal spectroscopic fingerprints in electromagnetically-induced transparency signals when exposed to rotating linearly polarized radio-frequency fields, revealing two disparate atomic ladder behaviors that challenge prevailing interpretations of SI-traceable Rydberg atom electrometers.
This paper introduces and experimentally demonstrates a theory-independent framework for quantifying context incompatibility, showing that while classical statistical theories satisfy this condition, quantum systems exhibit significant violations, thereby offering a new perspective on the role of incompatibility in non-local correlations.
This paper presents a proof-of-principle high-dimensional quantum key distribution protocol using position-momentum entanglement that achieves 5.07 bits per photon with 90 modes and theoretically demonstrates the potential to scale to over 700 Mb/s with 4400 modes using advanced sources and detectors.
The paper proposes the Branched Hilbert Subspace Interpretation (BHSI), a minimalist framework that explains quantum measurement as a unitary branching of the local Hilbert space into decoherent subspaces, thereby avoiding both wave function collapse and parallel worlds while preserving the Born rule and offering testable predictions for phenomena like the double-slit experiment and quantum teleportation.
This paper demonstrates that a noisy, Markovian one-qubit heat engine operating on a quantum Otto cycle can surpass classical efficiency limits by consuming quantum coherence, a finding validated through Leggett-Garg inequality violations and quantum circuit simulations that link energy consumption to information processing costs.
The paper proposes Iterative Quantum Feature Maps (IQFMs), a hybrid quantum-classical framework that constructs deep architectures by iteratively connecting shallow, noise-resilient quantum feature maps with classically computed weights to mitigate hardware limitations and achieve performance comparable to classical neural networks without optimizing variational quantum parameters.
This paper introduces a general framework for engineering precise, robust, and efficient effective Hamiltonians that minimizes higher-order contributions and systematic errors while enabling advanced quantum control strategies for simulation, sensing, and computing.
This paper proposes a frustrated Kitaev trimer-based quantum sensor that exhibits an omnidirectional thresholded response to classical signals, remaining inert below a critical field strength while achieving Heisenberg-limited sensitivity in entangled configurations for applications like particle track detection and telescopy.
This paper diagnoses performance limitations in Rydberg-ladder gauge simulators by analyzing bitstring measurements from the Aquila platform, revealing that while readout mitigation is effective, residual errors in probability estimation are primarily driven by imperfect state preparation rather than readout noise.
This paper demonstrates high-fidelity (99.8%) bucket-brigade spin shuttling in a silicon MOS device and reveals that residual errors are highly sensitive to the ratio between interdot tunnel coupling and Zeeman splitting, a relationship validated by a four-level Hamiltonian model to guide future quantum architecture optimization.
This theoretical study demonstrates that employing squeezed input light in optomechanical systems significantly reduces optical noise and shortens the required measurement time for detecting gravity-induced entanglement from approximately $10^{6.8}10^6$ seconds, thereby enhancing its detectability.
This paper demonstrates that deep neural network ensembles enable accurate, real-time quantum parameter estimation with well-calibrated uncertainty quantification and drift detection, offering a faster alternative to traditional Bayesian inference methods without sacrificing accuracy.
This paper demonstrates that while estimating a classical field amplitude yields a quantum Fisher information (QFI) growing quadratically with time, estimating the amplitude of a fully quantized coherent field is fundamentally limited by the non-orthogonality of coherent states and atom-field back-action (interpreted as spontaneous emission in the continuous limit), resulting in a bounded or linearly scaling QFI rather than unbounded growth.
This paper presents the first direct comparison between gate-based quantum computing (using QAOA) and adiabatic quantum computing (via Ising models) for solving AC power flow problems, demonstrating through numerical experiments on a 4-bus system how these paradigms and quantum-inspired solvers trade off accuracy, scalability, and practical viability for future electricity grid optimization.
This paper introduces a graph augmentation and rewiring for interference (GARI) framework that transforms correlated error models in quantum LDPC codes to enable high-accuracy, low-latency decoding via ensemble normalized min-sum algorithms, achieving state-of-the-art logical error rates and real-time FPGA performance on bivariate bicycle codes.
This paper demonstrates that detuning-induced coherent errors prevent GHZ-state-based quantum metrology from reaching the Heisenberg limit and proposes a composite-pulse protocol to mitigate these systematic errors, thereby restoring enhanced sensitivity.
This paper establishes that measurement coherence is the fundamental resource enabling semi-device-independent steering and local randomness generation, providing a complete operational characterization where any set of coherent measurements can generate genuine randomness without requiring entanglement or high detection efficiency.
This paper demonstrates that coupling a localized impurity to an integrable one-dimensional Bose gas induces unconventional low-energy quantum chaos driven by diffraction, a phenomenon that contradicts the typical high-energy emergence of chaos predicted by the Bohigas–Giannoni–Schmit conjecture.
This paper develops an analytic approach linking the density of complex resonance poles to the distribution of reflection coefficients at complex energies, yielding explicit formulas for the crossover from narrow to broad resonances in both semi-infinite and short one-dimensional disordered samples, and validating these results against numerical simulations of the Anderson tight-binding model.
This paper presents a new model of quantum computation based on the representation theory of the massless sector of unitary irreducible representations of the extended Poincare group.