1134 papers
This paper proposes a unified geometric framework that visualizes two- and three-qubit pure states by explicitly separating local degrees of freedom, represented via Bloch spheres, from nonlocal entanglement degrees of freedom, captured through complex concurrences, to provide an intuitive and complete coordinate representation of quantum states.
The paper presents Lattice (LAT), a post-quantum peer-to-peer electronic cash system designed as a settlement layer for the quantum era by integrating RandomX CPU-only proof-of-work, LWMA-1 difficulty adjustment, and NIST-standard ML-DSA-44 lattice-based digital signatures with a specific emission schedule and block weight scaling mechanism.
This paper derives closed-form analytic expressions for leading-order relativistic corrections to the wave-packet dynamics and uncertainty relations of a quantum harmonic oscillator, demonstrating that these effects become experimentally verifiable (reaching 0.1% to 1% deviation) for electron wave packets confined within keV-scale energies.
This paper introduces a classically driven hybrid quantum algorithm that reduces measurement overhead in electronic-structure simulations by iteratively transforming the Hamiltonian toward a diagonal form using sequential Givens rotations determined via classical low-dimensional block analysis, thereby minimizing quantum circuit depth and measurement requirements.
This paper proposes and experimentally outlines a practical protocol for implementing arbitrary nonlocal controlled-unitary gates between distant nodes using indefinite causal order and entanglement, which reduces circuit complexity and enhances flexibility compared to conventional fixed causal-order methods.
This paper proposes a physics-informed neural network method (PINN-DQME) to efficiently simulate non-Markovian open quantum dynamics by circumventing the time-dependent variational principle, demonstrating high accuracy for weak non-Markovian regimes at high temperatures while facing error accumulation challenges in strongly non-Markovian low-temperature scenarios.
The paper proposes a bipartite quantum key distribution protocol that leverages indefinite causal order, specifically utilizing a process matrix resource to achieve an 85.35% raw bit-matching probability between Alice and Bob, which is sufficient for standard error correction and practical implementation.
This paper introduces a scalable family of quantum LDPC codes with parameters by combining the hypergraph product and generalized Shor construction on classical codes derived from sub-exceding functions, achieving a minimum distance of for and for .
This paper establishes a realistic, end-to-end framework for quantum sensing under finite resources, demonstrating through Bayesian analysis that apparent Heisenberg-like scaling in strategies like NOON states often stems from prior constraints rather than genuine measurement information, thereby clarifying the specific conditions under which nonclassical resources provide true metrological advantages.
This review surveys theoretical and experimental advances in the physics of trions within two-dimensional monolayers, highlighting their enhanced binding energies due to reduced screening and confinement, the impact of environmental and external field factors, and their connections to broader many-body phenomena.
This paper presents a uniform mathematical framework and an efficient algorithm to determine the isomorphism type of dynamical Lie algebras generated by sets of Pauli strings by leveraging quadratic spaces over .
This paper investigates the semi-infinite square potential well by deriving rules for the number of bound states, correcting a flawed graphical simplification found in standard textbooks, and providing accurate approximations and exact solutions for the energy eigenvalues and eigenfunctions.
This paper demonstrates the successful experimental implementation of a quantum Markov Chain Monte Carlo algorithm on Quantinuum's H2 and Helios quantum computers, proving that accurate results can be achieved on current Noisy Intermediate Scale Quantum (NISQ) hardware by directly operating on physical qubits.
This paper introduces a hybrid stochastic method that achieves exact tensor network contraction by sampling loop corrections to Belief Propagation via Markov chain Monte Carlo, thereby eliminating systematic errors on loopy graphs while providing unbiased estimates with controllable statistical error across all parameter regimes.
This paper analytically investigates the Transfer Tensor Method using a solvable Jaynes-Cummings model to demonstrate that while the method's transfer tensors and the Nakajima-Zwanzig memory kernel converge in the continuous-time limit, they differ at finite time discretizations, revealing specific parameter regimes where non-Markovian dynamics can be effectively described as Markovian.
This paper demonstrates a reversible, non-destructive method to enhance blue single-photon emission from hexagonal boron nitride at room temperature by using mid-infrared co-excitation to resonantly drive defect-localized phonon modes, thereby modulating carrier dynamics through phonon-assisted recombination.
This paper extends a classical canonical framework for analyzing composite pulse robustness to two-dimensional distributions of initial states on the Bloch sphere, demonstrating that while Levitt's $90(x)180(y)90(x)$ sequence remains largely robust against initial state imperfections, numerical optimization can identify variants that achieve superior coherent population inversion.
This paper introduces a time-conditioned Swin Transformer framework for continuous-variable quantum error mitigation that enables accurate state recovery in long-time regimes beyond the training horizon by explicitly embedding evolution time to capture continuous noise accumulation and nonlocal correlations.
This paper elaborates on the space-sharing argument to establish the tightness of entropic quantum Singleton bounds for entanglement-assisted classical coding, while also deriving a new tight bound for scenarios where entanglement assistance is distributed across a subset of encoders under local quantum operations.
This study demonstrates that electrically driven Loss-DiVincenzo spin qubits exhibit a linear Rabi frequency scaling with microwave drive amplitude even under simultaneous multi-qubit driving, thereby refuting the notion that previously observed nonlinearities are a general characteristic of such systems.