1134 papers
This paper introduces an efficient local-to-global reconstruction framework that combines local shadow tomography with convex optimization to characterize multi-qubit quantum channels, proving that sample complexity scales polynomially with system size under the assumption of exponentially decaying correlations and demonstrating accurate recovery of global diagnostics for systems up to 50 qubits.
This paper presents highly accurate *ab initio* adiabatic potential energy surfaces and non-adiabatic couplings for the four low-lying singlet states of ozone, constructed using advanced multi-reference methods to reproduce experimental dissociation energies and frequencies, locate conical intersections, and provide a four-state diabatic Hamiltonian free of "reef" features.
This paper extends the Curie-Weiss model of quantum measurement from spin-1/2 to spin-1 systems by deriving and numerically evaluating the detailed dynamics of measuring the -component, including the associated macroscopic energy costs.
This paper investigates non-Hermitian quasiperiodic localization transitions using semiclassical Husimi dynamics and finds that, unlike their Hermitian counterparts, the critical points do not universally align with classical phase-space predictions due to a sensitive dependence on the irrational parameter, though a faithful classical-quantum mimicry can still be achieved within specific parameter regimes and finite time windows.
This paper challenges the conventional assumption of the Krylov basis's optimality by demonstrating that higher-order generators can be constructed to minimize Krylov complexity more effectively than the standard first-order approach, thereby necessitating a reconsideration of previous results in the field.
This paper demonstrates the achievement of approximately one-hour storage lifetimes for two-qubit entangled logical states encoded in the decoherence-free subspaces of four cryogenic ions, utilizing crosstalk-free sympathetic cooling and multi-state detection to suppress errors and validate the advantages of second-order DFS against spatially nonuniform noise.
This paper derives a gauge-invariant noncommutative Hamiltonian for graphene in a magnetic field to analytically determine its deformed Landau levels and thermal properties, such as free energy and specific heat, using zeta function regularization.
This paper predicts and analytically characterizes boundary-driven exceptional points in semi-infinite Hermitian photonic waveguide lattices with a side-coupled defect, demonstrating how coherent reflections induce non-Markovian memory effects that enable precise tuning of resonance coalescence through the defect's position and coupling strength.
This paper introduces the numerical invariants of root activity and root curvature to derive sharper, dimension-free complexity bounds for Hamiltonian simulation within unitary representations of Lie algebras, demonstrating their effectiveness through a root-gate circuit model applied to spin-chain systems.
This paper investigates the inductive coupling between a quantum LC resonator and a graphene-based Josephson junction, revealing that the system's current-phase relation can exhibit spontaneous time-reversal symmetry breaking and predicting the low-energy spectrum of hybridized light-matter excitations.
This paper characterizes the WAR5 defect in diamond as a promising quantum sensing platform, demonstrating millisecond-scale spin relaxation times at room temperature and extended coherence times at cryogenic temperatures alongside optical spin polarization capabilities.
This paper provides a concise review of the diverse mathematical formulations of quantum uncertainty relations discovered since 1927, ranging from the traditional Heisenberg inequality and its Schrödinger-Robertson modifications to entropic, local, higher-order moment, and energy-time relations, as well as refinements based on state purity.
This study investigates how layer structure and strain influence the electronic properties and surface morphology of InAs/InGaAs quantum wells on InP (001), revealing that layer design dictates mobility anisotropy, excessive thickness triggers quantum well collapse, and quantum confinement significantly affects band nonparabolicity.
This paper introduces "paces," a GPU-optimized parallel algorithm that computes quantum dynamics by constructing and evolving a restricted subspace via repeated Hamiltonian applications, offering an efficient alternative to matrix-product states for sparse Hamiltonians.
This survey reviews how machine learning techniques enhance the security and performance of practical Quantum Key Distribution systems across five key applications—parameter optimization, attack detection, protocol selection, performance prediction, and network management—while highlighting their potential and remaining challenges in real-world deployment.
This paper establishes the ultimate precision limits for simultaneously estimating the Unruh temperature and initial-state parameters in bipartite accelerated Unruh-DeWitt detectors, demonstrating that while Markovian dissipation degrades estimation, non-Markovian memory effects and classical noise correlations can mitigate these losses or even enhance precision through information backflow.
This paper introduces the Fourier Network Coordination problem to demonstrate that while classical and quantum algorithms perform similarly for abelian and nearly abelian groups, a conditional super-exponential quantum speedup emerges for the symmetric group, establishing a new intermediate complexity regime governed by the abelian index.
This paper introduces "fidelity deviation" as a companion metric to gate fidelity, demonstrating that together they provide a tight, experimentally accessible certificate for worst-case errors in fault-tolerant quantum computing, thereby addressing the limitations of average fidelity in the presence of coherent errors.
This paper introduces the Quantum Minimal Learning Machine (QMLM), a supervised similarity-based algorithm adapted from classical models to process quantum data, demonstrating its effectiveness as an error mitigation method for various parameters.
This paper identifies a superlinear response and a significant energy-dependent timing shift in sinusoidally-gated avalanche single-photon detectors, proposing two new attacks that exploit these energy-time effects to violate key security assumptions in Quantum Key Distribution.