On Emergences of Non-Classical Statistical Characteristics in Classical Neural Networks

This paper introduces the Non-Classical Network (NCnet), a classical neural architecture that exhibits quantum-like non-classical statistical behaviors through gradient competitions and implicit inter-task correlations, revealing that the resulting CHSH SS statistic serves as a novel indicator for understanding internal network dynamics and generalization performance across different resource regimes.

Hanyu Zhao, Yang Wu, Yuexian Hou2026-03-06⚛️ quant-ph

Full-dimensional quantum scattering calculations of rovibrationally excited HD+HD collisions

This paper presents the first full-dimensional quantum scattering calculations for rovibrationally excited HD+HD collisions, identifying near-resonant transitions and low-energy resonances dominated by l=3 partial waves that agree with previous experimental cross sections and provide rate coefficients for temperatures ranging from 0.1 K to 200 K.

Bikramaditya Mandal, Hubert Józwiak, Piotr Wcisło, Naduvalath Balakrishnan2026-03-06⚛️ quant-ph

Coherent Biexciton Transport in the Presence of Exciton-Exciton Annihilation in Molecular Aggregates

This paper presents a theoretical framework demonstrating that the transport and fluorescence dynamics of biexcitons in molecular aggregates are critically governed by the initial state's coherence and momentum composition, revealing distinct transport behaviors for standing versus traveling waves and significant differences between J and H aggregates driven by band structure-dependent interference.

Rajesh Dutta, Chern Chuang2026-03-06⚛️ quant-ph

Chiral and pair superfluidity in triangular ladder produced by state-dependent Kronig-Penney lattice

This paper proposes a spin-dependent Kronig-Penney lattice realization of a triangular ladder for ultracold atoms that, through controllable pair hopping and geometric frustration, gives rise to robust pair superfluid and chiral superfluid phases as confirmed by density matrix renormalization group calculations and XXZ spin model mapping.

Domantas Burba, Giedrius Žlabys, Dzmitry Viarbitski, Thomas Busch, Gediminas Juzeli\=unas2026-03-06⚛️ quant-ph

Quantum State Certification via Effective Parent Hamiltonians from Local Measurement Data

This paper presents a tomography-free quantum state certification method using local measurement data to construct effective parent Hamiltonians, which was experimentally validated on IBM hardware to certify genuine multipartite entanglement and establish fidelity lower bounds for Dicke states up to thirteen qubits.

Guy-Philippe Nadon, Guanyi Heng, Pacôme Gasnier, Antoine Lemelin, Camille Coti, Zeljko Zilic, Mikko Möttönen, Ville Kotovirta, Toni Annala, Ernesto Campos, Jacob Biamonte2026-03-06⚛️ quant-ph

Markovian quantum master equations are exponentially accurate in the weak coupling regime

The paper demonstrates that for open quantum systems coupled to Gaussian environments, the evolution can be described by a Markovian quantum master equation with an error that decreases exponentially with the inverse system-bath coupling strength, achieved through a generalized Born-Markov approximation that can be iterated to arbitrarily high orders.

Johannes Agerskov, Frederik Nathan2026-03-06⚛️ quant-ph

Towards Predictive Quantum Algorithmic Performance: Modeling Time-Correlated Noise at Scale

This paper proposes a hybrid framework combining tensor networks and quantum autoregressive moving average models to characterize time-correlated noise, demonstrating that noise spectral features dictate infidelity scaling exponents and enabling the prediction of large-scale quantum algorithm performance (up to 128 qubits) from moderate-scale simulations for hardware-relevant benchmarking.

Amit Jamadagni, Gregory Quiroz, Eugene Dumitrescu2026-03-06⚛️ quant-ph

Tight inapproximability of max-LINSAT and implications for decoded quantum interferometry

This paper proves that max-LINSAT is tightly inapproximable within any constant factor beyond the random-assignment ratio r/qr/q under PNP\mathsf{P} \neq \mathsf{NP}, a hardness threshold that coincides with the asymptotic performance limit of decoded quantum interferometry, thereby delineating the boundary between classical worst-case hardness and potential quantum advantage.

Maximilian J. Kramer, Carsten Schubert, Jens Eisert2026-03-06⚛️ quant-ph

How to improve the accuracy of semiclassical and quasiclassical dynamics with and without generalized quantum master equations

This paper elucidates the mechanism behind the improved accuracy of semiclassical dynamics enhanced by generalized quantum master equations by demonstrating that exact "left-handed" time-derivatives delay inaccuracy while introducing long-term instability, and subsequently proposes a protocol to determine memory kernel cutoffs that leverages short-time gains while avoiding unphysical behavior in challenging regimes.

Matthew R. Laskowski, Srijan Bhattacharyya, Andrés Montoya-Castillo2026-03-06⚛️ quant-ph