Quantum Physics · Physics & Astronomy
Quantum Physics
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3,630 papers, from 4 September 2026 to 5 November 2026: 3,630 arXiv preprints.
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Newest papers, page 127
Exact first-detection probability in a locally monitored solvable quantum circuit
We study the interplay between local stroboscopic measurements and the unitary quantum circuit dynamics of the deterministic Floquet-quantum East model.Less precise but less noisy: local circuits for momentum-space state preparation and measurement
Quantum algorithms are usually optimized for gate count or circuit depth.Near-optimal quantum query lower bounds on bipartiteness and expansion testing in the bounded-degree graph model
In this work, we study bipartiteness and expansion testing, two canonical problems in graph property testing in the bounded-degree model through the lens of quantum query complexity.Efficient quantum phase estimation with adaptive entanglement-assisted Hadamard test
The entanglement-assisted Hadamard test (EHT) is a practical method for estimating a quantum phase by amplifying the phase signal.QUFIG: GNN-Based Prediction of Quantum Fault Injection Vulnerabilities with Gate-Level Precision
The growing scale and accessibility of quantum hardware exposed new reliability and security challenges in the quantum computing workflow, such as the run-time fault injection attacks in cloud-based…Non-Markovian effects on informational steady states
Informational steady states (ISSs) arise when the rate at which information is gained from continuous measurements is exactly balanced by the rate at which information from earlier measurements is…Learnt Attacks on Quantum Key Distribution under Channel Noise and Device Drift
Quantum key distribution (QKD) links are provisioned from security analyses of stationary channels, whereas the devices that determine the channel drift between recalibrations.Collision models: Markovian and Non-Markovian impurity models
Collision models provide a flexible framework for studying open quantum systems and introducing non-Markovianity.QPI-DeepONet-MAC: A Scalable and Stable Hybrid Classical-Quantum Architecture for Physics-Informed Deep Operator Networks
General operator learning for parametric partial differential equations (PDEs) is a fundamental challenge at the intersection of artificial intelligence and physics-based modeling.Experimental realization of Wheeler's delayed-choice experiment with dual selections
Wheeler's delayed-choice experiment demonstrates wave-particle duality of particles using different experimental configurations of a Mach-Zehnder interferometer.Toward Optimal Circuit Depth for Geometrically Local Hamiltonian Simulation
Understanding the dynamics of interacting quantum systems is a central goal of quantum simulation.Ballistic Speed and Potential-Theoretic Recurrence for Homogeneous Open Quantum Random Walks
Our study connects root-mean-square ballistic transport to potential-theoretic recurrence for finite-range open quantum random walks.Trapdoored Clifford Operators and Applications
Random Clifford operators have numerous applications in quantum computing, including randomized benchmarking, classical shadows, and quantum authentication.Quantum Optimal Transport Barycenters: Existence, Duality, and Gaussian Rigidity
We develop a Quantum Optimal Transport (QOT) barycenter framework for quantum states, as an analog of Wasserstein barycenters~\cite{AguCar}, and establish existence and duality results for a broad…Approximation theorems for fermionic Gaussian states
A recurring principle in many-body physics is that sufficiently distributed interactions or correlations lead to an effectively mean-field description.Coherent Release Fronts in Krylov Chains and Thermal AdS$_2$ Response
We study coherent release from a finite serial Krylov sector into an exact conformal tail with asymptotically linear Lanczos coefficients.Quadratic symmetry algebras and Sturm algebraization of superintegrable systems with magnetic fields
We study two three-dimensional quantum superintegrable systems in nonvanishing axially symmetric magnetic fields.Fourier Symmetrization for Geometric Quantum Machine Learning
Geometric quantum machine learning incorporates symmetry into quantum models, but how symmetry shapes their expressivity and guides effective model design remains insufficiently understood.Floquet-Universal Hamiltonian Simulation
Analogue and digital Hamiltonian simulation represent two distinct approaches to making one quantum system replicate the physical properties of another, with consequences ranging from practical…Symmetry considerations in chirality-induced spin selectivity
The chirality-induced spin selectivity (CISS) effect, the coupling between structural chirality and electron spin polarization, has been experimentally observed across many diverse systems.