Papers
Live trends in quantum computing research, updated daily from arXiv.
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Quantum simulation of Motzkin spin chain with Rydberg atoms
Kaustav Mukherjee, Hatem Barghathi, Adrian Del Maestro +1 more·Mar 24, 2026
Motzkin spin chain is a well-known mathematical model with connections to symmetry-protected topological phases, such as the Haldane phase, as well as to concepts in the AdS/CFT correspondence. They exhibit highly entangled ground states that violate...
Single-letter one-way distillable entanglement for non-degradable states
Rabsan Galib Ahmed, Graeme Smith, Peixue Wu·Mar 24, 2026
The one-way distillable entanglement is a central operational measure of bipartite entanglement, quantifying the optimal rate at which maximally entangled pairs can be extracted by one-way LOCC. Despite its importance, it is notoriously hard to compu...
Encoding Numerical Data for Generative Quantum Machine Learning
Michael Krebsbach, Florentin Reiter, Thomas Wellens +2 more·Mar 24, 2026
Generative quantum machine learning models are trained to deduce the probability distribution underlying a given dataset, and to produce new, synthetic samples from it. The majority of such models proposed in the literature, like the Quantum Circuit ...
Markov State--Space Modeling and Channel Characterization for DNA-Based Molecular Communication
Ruifeng Zheng, Zhihan Xu, Veronika Volkova +5 more·Mar 24, 2026
In this paper, we study DNA-based molecular communication with microarray-style reception under reversible hybridization, where the bound-state observation exhibits both inter-symbol interference and colored counting noise. To capture these effects i...
Two-parameter Family-Vicsek scaling in a dissipative XXZ spin chain
Cătălin Paşcu Moca, Doru Sticlet, Tamás Vicsek +1 more·Mar 24, 2026
Family-Vicsek (FV) scaling provides an understanding for the growth and finite-size saturation of fluctuations in classical systems. Here, we extend the FV roughness to transferred segment magnetization after quantum quenches in a dissipative XXZ spi...
Global control via quantum actuators
Roberto Menta, Francesco Cioni, Riccardo Aiudi +2 more·Mar 24, 2026
We introduce the concept of quantum actuators as mediators for globally controlled quantum computation. Auxiliary quantum systems act as controllable elements that transiently store and release interaction energy, enabling the selective activation of...
Dark Matter Detection through Rydberg Atom Transducer
J. F. Chen, Haokun Fu, Christina Gao +5 more·Mar 24, 2026
Ultralight bosonic dark matter with masses in the meV range, corresponding to terahertz (THz) Compton frequencies, remains largely unexplored due to the difficulty of achieving both efficient signal conversion and single-photon-sensitive detection at...
Occupation-selective topological pumping from Floquet gauge fields
Wenjie Liu, Ching Hua Lee, Zhoutao Lei·Mar 24, 2026
Topological pumping is conventionally governed by single-particle band topology. Here we show that promoting tunneling to a dynamical, occupation-conditioned variable fundamentally reshapes this paradigm, leading to occupation-selective topological p...
Traveling Salesman Problem with a preprocessing method for classical and quantum optimization
Alessia Ciacco, Luigi Di Puglia Pugliese, Francesca Guerriero·Mar 24, 2026
The Traveling Salesman Problem is a fundamental combinatorial optimization problem widely studied in operations research. Despite its simple formulation, it remains computationally challenging due to the exponential growth of the search space and the...
Autoencoder-based Optimization of Multi-user Molecule Mixture Communication Systems
Bastian Heinlein, Nuria Zurita Jiménez, Kaikai Zhu +4 more·Mar 24, 2026
In this paper, we introduce an autoencoder (AE)-based scheme for end-to-end optimization of a multi-user molecule mixture communication system. In the proposed scheme, each transmitter leverages an encoder network that maps the user symbol to a molec...
Solving Nonlinear Partial Differential Equations via a Hybrid Newton Method Using Quantum Linear System Solver
Maximilian Mandelt Buxadé, Stefan Langer, Philipp Bekemeyer·Mar 24, 2026
To approximate solutions of complex nonlinear partial differential equations remains a computational challenge, especially for sets of equations relevant in industry, such as Euler or Navier-Stokes equations. Even the most sophisticated computational...
Modeling the Disjunction Effect within Classical Probability: A New Decision Process Model and Comparison with Quantum-like Models
Ryo Nasu, Yoshihiro Maruyama·Mar 24, 2026
The disjunction effect in human decision making is often taken to show that the classical law of total probability is violated, motivating quantum-like models. We re-examine this claim for the Prisoner's Dilemma disjunction effect. Under the mental-e...
Block Coordinate Descent for Dynamic Portfolio Optimization on Finite-Precision Coherent Ising Machines
Keming He, Yuehan Zhang, Hongshun Yao +2 more·Mar 24, 2026
Coherent Ising machines (CIMs) have emerged as specialized quantum hardware for large-scale combinatorial optimization. However, for large instances that remain challenging for classical methods, some platforms support only finite-precision inputs, a...
Quantum speedup from nonclassical polarization
Tim Aßbrock, Jan Sperling, Laura Ares·Mar 24, 2026
We develop a framework for identifying nonclassical speedups in systems with polarization, likewise spin degrees of freedom. By confining the dynamics to the manifold of angular momentum coherent states, which act as the classical reference in this c...
Metastability, chaos and spectrum tomography for Bose-Hubbard rings and chains
Rajat, Doron Cohen·Mar 24, 2026
We analyze the metastability of Bose-Hubbard condensates for finite-size one-dimensional ring lattices and open chains, using a semiclassical tomographic perspective that emphasizes the relation of the many-body spectrum to the underlying classical p...
High-Resolution Tensor-Network Fourier Methods for Exponentially Compressed Non-Gaussian Aggregate Distributions
Juan José Rodríguez-Aldavero, Juan José García-Ripoll·Mar 24, 2026
Characteristic functions of weighted sums of independent random variables exhibit low-rank structure in the quantized tensor train (QTT) representation, also known as matrix product states (MPS), enabling up to exponential compression of their fully ...
Propagation of optical vector vortices of slow light in a coherently prepared tripod configuration
Dharma P. Permana, Mažena Mackoit Sinkevičienė, Julius Ruseckas +1 more·Mar 24, 2026
We investigate the propagation of optical vector vortices of slow light in a coherently prepared four-level tripod atomic system. The vector vortex consists of superposed pulse pairs with opposite circular polarizations and orbital angular momentum (...
Bell Experiments Revisited: A Numerical Approach Based on De Broglie--Bohm Theory
Tim Dartois, Signe Seidelin, Aurélien Drezet·Mar 24, 2026
We present a complete and rigorous model of an EPR--Bell-type experiment within the framework of the de Broglie--Bohm theory. The purpose of this work is to show explicitly how a deterministic hidden-variable theory can reproduce all quantum-mechanic...
Basis dependence of eigenstate thermalization
Lennart Dabelow, Christian Eidecker-Dunkel, Peter Reimann·Mar 24, 2026
Eigenstate thermalization refers to the property that an energy eigenstate of a many-body system is indistinguishable from a thermal equilibrium ensemble at the same energy as far as expectation values of local observables are concerned. In systems w...
Zero-Uncertainty States Relative to Observable Algebras
Jiayu Ran·Mar 24, 2026
We study zero-uncertainty states with quantum memory from an operator-algebraic perspective, which naturally accommodates degenerate projective-valued measurements. In the equal-dimension setting, we prove a rigidity theorem for purity and maximal en...