🔬 physics

Realization of decoherence-induced average symmetry-protected topological phases on quantum processors

This paper demonstrates the realization and characterization of decoherence-induced average symmetry-protected topological (ASPT) phases on programmable quantum processors by engineering sublattice-selective dephasing to preserve ensemble-level symmetry while diagnosing the resulting mixed-state topological order through replica string correlators and entanglement spectra.

Ruizhe Shen, Xuejia Yu, Ching Hua Lee2026-10-22
🔬 physics

The Al-Mizan Al-Mutakamil Relational Framework: Discrete Scale Operators, Galactic Kinematics, and Cosmological Expansion

This paper presents the Al-Mizan Al-Mutakamil relational framework, a unified theory that replaces dark matter and the cosmological constant with discrete scale-step operators acting on baryonic flux tensors, achieving high-precision fits to galaxy rotation curves and deriving a revised cosmological expansion model with a transition redshift of z ≈ 2.15 using only three global scalar constants.

Davinus Masire Ochanda2026-10-22
🔬 physics

Monolithic Photoelectric-Photovoltaic (PEV) Hybrid Architecture Utilizing Oxygen-Activated GaAs NEA Photocathodes for Ultra-High Spectrum Utilization

This study proposes and theoretically validates a monolithic ZnO/ITO/Micro-Gap/GaAs-O2/GaAs/Mo hybrid architecture utilizing an oxygen-activated GaAs NEA photocathode to bypass thermalization losses, achieving a record-breaking 79.96% power conversion efficiency under AM1.5G illumination by synergistically combining photoelectric and photovoltaic currents.

rahim lotfi orimi2026-10-22
🔬 physics

The Representability Gap: Massive-Graviton Physics Cannot Be Held by Virtual-World Physics Engines but Survives the Low-Precision Number Formats of Artificial Intelligence

This paper demonstrates that while the computational precision required to represent massive-graviton physics exceeds the capabilities of virtual-world physics engines, causing significant numerical artifacts, the same effects remain representable and learnable within the lower-precision formats used by artificial intelligence systems.

Alfredo Merlet2026-10-22
🔬 physics

Recent Advances in Spray-Pyrolysed Cu₂ZnSnS₄ Thin Films for Photovoltaic Applications Structure–Property Relationships, Phase Engineering, Surface Morphology and Device Optimization

This review examines recent advances in spray-pyrolysed Cu₂ZnSnS₄ thin films for photovoltaics by analyzing how processing parameters influence structural, optical, and electrical properties, with a specific focus on phase engineering, morphology control, and the critical link between absorber characterization and device performance.

C. S.A. Raj2026-10-22
🔬 physics

Does hiding the post-processing from a memory-limited eavesdropper raise the noise tolerance of QKD? Timelocked advantage distillation and the 20% barrier

This paper investigates whether hiding post-processing information from a memory-limited eavesdropper via quantum computational timelocks can improve QKD noise tolerance, finding that while hiding parity announcements offers no advantage, concealing block partitions can raise the finite-key threshold to approximately 20.7% by preventing the adversary from performing joint measurements on probes separated by time.

Hikaru Wakaura2026-10-22
🔬 physics

Symmetry breaking in Prussian Blue Analogues via growth–guided local ordering of hexacyanometallate vacancies

This paper introduces a novel "growth-guided local ordering" mechanism in Mn[Co]-Prussian Blue Analogues, demonstrating that directional crystal growth induces anisotropic vacancy correlations that reduce local symmetry (e.g., to tetragonal or trigonal) while preserving the average cubic structure, thereby offering a general strategy for controlling symmetry in disordered crystals through growth direction manipulation.

Arkadiy Simonov, Yevheniia Kholina, Joohee Bang, Arthur Baroni, Marianne Liebi, Semën Gorfman, Ido Biran, Tatiana Akhmet (…)2026-10-22
🔬 physics

Finite-Shot Pauli-Measurement Protocol for Calibrated Multipartite-Entanglement Diagnosis

This paper proposes a calibrated decision protocol that diagnoses multipartite entanglement from finite-shot Pauli measurements by integrating binomial estimators, task-informed observables, and conformal prediction to output reliable labels or abstentions, demonstrating effective diagnosis up to 20 qubits while revealing that global coherence suffices for coarse diagnosis while finer structural details require richer local information.

Wenlong Sun, Yuanfeng Jin2026-10-21
🔬 physics

Computational fracture modelling of polymer-bonded explosives and solid propellants: A critical review of local and nonlocal continuum formulations and discrete particle approaches

This paper critically reviews and compares five computational fracture modelling approaches—XFEM, CZM, PFM, PD, and DEM—for polymer-bonded explosives and solid propellants, evaluating their theoretical foundations, capabilities in capturing damage mechanisms like debonding and fragmentation, and requirements for parameter calibration and experimental validation to guide model selection for safety and structural integrity assessments.

Hanwen Liu, Xiaolong Fu, Jiangning Wang, Xitong Zhao, Saiqin Meng2026-10-21
🔬 physics

Broadband Enhancement of Near-Field Radiative Heat Transfer via Intrinsic Carrier–Lattice Interactions

This study experimentally demonstrates that intrinsic carrier-lattice interactions in heavily doped gallium arsenide significantly enhance near-field radiative heat transfer by more than doubling the flux compared to undoped samples through a coupled plasmonic-phononic response, offering a new pathway for tunable thermal management in nanoelectronics.

Hongliang Yi, Cheng-Long Zhou, Dong-Xu Li, Gui-Cheng Cui, Yong Zhang, Mauro Antezza, Shui-Hua Yang2026-10-21