1134 papers
This comprehensive review defines Quantum Deep Learning (QDL) through a four-paradigm taxonomy, critically assesses its theoretical foundations and experimental implementations across various hardware systems, and outlines a verification-aware roadmap for transitioning from near-term demonstrations to scalable, fault-tolerant applications.
This paper establishes a unified security threshold for interactive authentication over noisy quantum channels by upper-bounding Eve's forgery probability with a Holevo-type quantity derived from min-entropy estimates, thereby proving the protocol is both -secure and composable against forgery and key leakage.
This paper argues that resilience must be established as a fundamental design constraint in integrated classical-quantum computing systems by developing new quantitative models and metrics, drawing inspiration from civil engineering to accurately assess the cost-benefit ratios of system improvements and their cascading impacts on end-user value.
This paper proposes a nonlocal extension of the generalized Dirac oscillator in (1+1) dimensions by replacing multiplicative interactions with integral operators, deriving conditions for pseudo-Hermiticity, establishing a nonlocal-to-local mapping to identify spurious solutions, and demonstrating the framework through analytically tractable benchmarks and a finite-rank separable model.
This paper demonstrates that decoder choice and estimator design significantly impact surface-code threshold inference, revealing that while Minimum-Weight Perfect Matching (MWPM) consistently outperforms Union-Find and is closely tracked by neural-guided variants in both standard Pauli and hybrid continuous-variable/discrete noise models, learned guidance introduces specific robustness concerns that must be reported alongside threshold curves.
This paper proposes a hybrid quantum-classical autoencoder and variational autoencoder framework utilizing Quantum Implicit Neural Representations (QINR) to achieve stable, high-quality image reconstruction and generation with enhanced diversity and sharp details compared to existing quantum generative models.
This paper introduces an efficient classical simulation method for quantum circuits using ZX-calculus that scales with rank-width, offering significant performance improvements over existing tensor contraction libraries through novel heuristics for rank-decomposition.
This paper explores how integrating quantum computing, sensing, and communication technologies into electrical grid edge devices can overcome the limitations of traditional systems by enabling faster optimization, atomic-precision measurements, and information-theoretic security, while also addressing the associated challenges and future directions.
Using a self-consistent renormalization group approach, this paper demonstrates that strong coupling to thermal bosons can robustly enhance a superconductor's critical temperature by balancing density fluctuations and boson-induced attraction, with potential applications in cold atomic systems and van der Waals heterostructures.
This paper introduces heterogeneous quantum error-correcting codes that strategically arrange qubits with distinct error rates or biases to significantly boost error thresholds and logical performance, revealing that placing noisier qubits in the bulk or high-bias qubits on the boundary optimizes protection while exhibiting a surprising bias-inversion phenomenon.
This paper demonstrates that massless scalar fields in a rotating Teo wormhole undergo stationary particle creation and entanglement via geometrically induced, asymmetric vacuum mode mixing, which acts as a non-dynamical analogue of the Asymmetric Dynamical Casimir Effect driven by frame dragging rather than time-dependent boundaries.
This paper introduces a general framework featuring a task-specific resource impact functional and associated bounds to operationally quantify and isolate the maximal influence of quantum resources on specific chemical dynamics and observables.
This paper introduces a modified infinite time-evolving block decimation (iTEBD) algorithm that constructs time-invariant process tensors with significantly improved computational scaling () and reduced memory requirements, enabling the exact simulation of long-time, non-Markovian dynamics in high-dimensional open quantum systems previously considered numerically intractable.
This paper presents a novel technique for characterizing superconducting qubit frequency noise by converting it into photon loss within a coupled high-quality cavity, enabling the detection of high-frequency noise processes beyond the reach of conventional qubit-based spectroscopy through the use of a long-lived cavity photon and post-selected mid-circuit measurements.
This study employs a numerically exact hybrid MPS-HEOM approach to demonstrate that in disordered molecular polariton systems, phonon timescales and dynamic disorder govern the activation of dark states and determine the critical system size () required to reach the thermodynamic limit by suppressing collective light-matter dynamics.
Qronecker is a certifiable, cut-aware low-rank Kronecker decomposition algorithm that operates in Pauli coefficient space to compress quantum-chemistry Hamiltonians without forming dense matrices, providing instance-specific compressibility curves and state-independent energy deviation bounds to guide adaptive rank and cut selection for efficient quantum processing.
This paper proposes that moire excitons in two-dimensional superlattices exhibit cooperative quantum optical phenomena, such as tunable superradiant and subradiant states and extreme optical switching, driven by their real-space lattice structure and controllable via electric fields, strain, or twist angle adjustments.
This paper demonstrates that determining whether finite extensions of Generalised Probabilistic Theories (GPTs) involving dynamics or entanglement are consistent with the theory's axioms is an undecidable problem, as it is computationally equivalent to the halting problem due to the infinite conditions generated by iterating transformations and entangled states.
This paper systematically investigates quantum phase transitions in sub-Ohmic spin-boson systems with three competing terms using variational calculations, revealing a rich phase diagram that includes a novel U(1)-symmetric phase and a multi-stage transition sequence at low tunneling strengths, thereby extending beyond conventional spin-boson physics.
This paper extends a projective circuit quantisation approach to incorporate superconducting Higgs modes by deriving and numerically validating analytical results for the gap dynamics' mass, spring constant, and frequency, while also computing anharmonic corrections for small superconducting islands.