946 papers
This paper introduces a novel tensor-network methodology that combines real-space Bethe-Salpeter Hamiltonian encoding with a Chebyshev algorithm to efficiently compute excitonic spectra and bound-exciton spectral functions in super-moiré systems exceeding one billion lattice sites, thereby overcoming the computational limitations of conventional approaches for large-scale quantum matter.
This paper establishes a comprehensive theory of multiary graded polyadic algebras by extending classical group-graded algebras to higher-arity structures, introducing multiary group gradings, and uncovering unique phenomena such as higher power gradings and specific arity compatibility constraints through results like quantization rules and a First Isomorphism Theorem.
This paper demonstrates that the propagator of a Hawking particle in the far-horizon region of Schwarzschild spacetime, derived using quantum field theory in curved spacetime, differs from the result obtained via the path-integral formalism, thereby highlighting a theoretical discrepancy between the standard description of high-energy quantum fields in curved spacetime and the low-energy quantum mechanical phenomena observed in Earth's gravitational field.
This paper proposes that high-energy particle decays function as informationally weak measurements of quantum spin, where decay kinematics serve as continuous pointer variables to reconstruct spin states and unify spin tomography with Aharonov-Vaidman measurement theory.
This paper improves finite-time thermodynamic uncertainty relations by incorporating the probability of null-entropy events, thereby deriving tighter bounds on thermodynamic current fluctuations, a framework validated using a qudit SWAP engine.
Using time-dependent spin-wave theory, this paper elucidates the mechanism behind the quantum Mpemba effect in long-range spin systems, demonstrating that quantum fluctuations of magnetization drive the faster restoration of spin-rotational symmetry from larger initial tilt angles across a wide parameter range, a phenomenon absent in some short-range counterparts.
Motivated by recent finite-dimensional results, this paper establishes Jensen's inequality for partial traces within both semifinite and general non-tracial von Neumann algebras.
This study demonstrates that unshielded dielectric objects, such as bare optical fibers, can be viably integrated into cryogenic surface electrode ion traps, as their induced stray electric fields are stable and compensable, and their contribution to ion motional heating remains manageable at cryogenic temperatures.
This paper introduces the "time glass," a novel phase of matter in periodically driven dissipative quantum systems characterized by spatial long-range order and synchronized chaotic oscillations that persist indefinitely due to system-size-dependent quantum effects, despite the presence of a finite spectral gap in the thermodynamic limit.
This paper demonstrates a highly coherent singlet-triplet hole spin qubit in germanium that achieves high-fidelity universal control and a tenfold increase in coherence time via resonant driving at low magnetic fields and low exchange interaction, effectively overcoming the trade-off between gate speed and charge noise sensitivity.
This paper presents the first exact analytic expression for the coherent information of a decohered toric code, rigorously establishing a direct connection between the fundamental error threshold and the criticality of the random bond Ising model without relying on the replica trick.
By applying Schwinger's variational principle to the Einstein-Cartan action, the authors derive quantum commutation relations between the metric and torsion tensors.
This paper establishes that the sample complexity for estimating parameters in general quantum learning tasks under maximum likelihood estimation is fundamentally governed by the inverse Fisher information matrix, providing universal upper and lower bounds that explain the structural origins of exponential complexity in specific scenarios like Pauli channel learning without entanglement.
This paper introduces the Quantum Reservoir Autoencoder (QRA), a four-equation protocol that achieves machine-precision input reconstruction from fixed quantum reservoir dynamics by identifying necessary rank conditions and demonstrating that asymmetric resource allocation significantly mitigates noise, thereby establishing the feasibility of bidirectional information transformation in quantum reservoir computing.
This paper demonstrates a direct quantum-enhanced sensing advantage in the Fourier domain by showing that two-photon interference in a fiber-based interferometer reduces the noise floor by 3 dB compared to single-photon interference under identical conditions, thereby enabling sub-shot-noise detection.
This paper resolves the Ito-Stratonovich ambiguity in quantum stochastic processes driven by multiplicative colored noise by introducing a phase-space augmentation and coarse-graining scheme that demonstrates their consistent Markovian limit corresponds to the Stratonovich convention with renormalized coefficients, while also characterizing a physically relevant family of causal, completely positive, and trace-preserving non-Markovian dynamics.
This paper presents a self-consistent Maxwell-Pauli framework demonstrating that while intrinsic magnetic self-fields in nanograting diffraction are too weak to affect electron spin, externally applied uniform and nonuniform magnetic fields can enable coherent spin rotation and spatial separation of spin-resolved free-electron beams without compromising diffraction coherence.
This paper provides a complete characterization of -positivity and Schmidt numbers for linear maps and bipartite states with symplectic group symmetries, yielding new constructions of optimal indecomposable maps, high-degree PPT entangled states, and resolutions to the PPT-squared conjecture and a Pal-Vertesi conjecture.
This paper introduces a quantum-native image matching framework for neutral-atom analog computers that converts images into sparse point clouds encoded in Rydberg atom arrays, utilizing time-evolved correlation matrices and static structure factors as constant-length fingerprints to achieve efficient, scale-invariant retrieval and machine learning with minimal atom counts.
This paper introduces a lattice-renormalized formalism for configurational tunneling two-level systems that overcomes prior model limitations by capturing lattice distortions, thereby enabling accurate computation of tunnel splittings for hydrogen-based defects in bcc Nb and providing critical insights for mitigating decoherence in superconducting qubits.