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An IXPE-led X-Ray Spectropolarimetric Campaign on the Soft State of Cygnus X-1: X-Ray Polarimetric Evidence for Strong Gravitational Lensing

James F. Steiner, Edward Nathan, Kun Hu, Henric Krawczynski et al. • The Astrophysical Journal Letters (2024)

We present the first X-ray spectropolarimetric results for Cygnus X-1 in its soft state from a campaign of five IXPE observations conducted during 2023 May–June. Companion multiwavelength data during the campaign are likewise shown. The 2–8...

DOAJ Open Access (DOAJ) DOI: 10.3847/2041-8213/ad58e4

Discrimination of Non-Local Correlations

Alberto Montina, Stefan Wolf • Entropy (2019)

In view of the importance of quantum non-locality in cryptography, quantum computation, and communication complexity, it is crucial to decide whether a given correlation exhibits non-locality or not. As proved by Pitowski, this problem is N...

DOAJ Open Access (DOAJ) DOI: 10.3390/e21020104

The pure Yang-Mills field, I: fixed time existence

James Glimm, James Glimm • Frontiers in Applied Mathematics and Statistics (2026)

The convergence of renormalized perturbation theory to all finite orders is defined and shown to be valid for the fixed time perturbation theory of a pure Yang-Mills field. Two pure Yang-Mills quantum gauge field theories are constructed, o...

DOAJ Open Access (DOAJ) DOI: 10.3389/fams.2026.1811439

Sustainable clove-derived nitrogen-doped carbon dots with programmable multimodal fluorescence for metal ion and fluoride sensing

Mallika Phull, Mandeep Kaur, Yashika Singla, Urvashi Singh et al. • RSC Advances (2026)

The development of sustainable fluorescent nanomaterials from renewable biomass represents a promising strategy for environmentally benign chemical sensing. In this work, nitrogen-doped carbon dots (N-CDs) were synthesized from clove biomas...

DOAJ Open Access (DOAJ) DOI: 10.1039/d6ra05591e

On the Challenges of Quantum Circuit Encoding Using Deep and Reinforcement Learning

Patrick Selig, Niall Murphy, David Redmond, Simon Caton • IEEE Access (2025)

Quantum computers may solve some computing tasks more efficiently than classical com- puters, but to do so requires the design of appropriate quantum circuits. However, it is hard to design even simple quantum programs. Recent results have ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3564392

Expressibility and trainability of parametrized analog quantum systems for machine learning applications

Jirawat Tangpanitanon, Supanut Thanasilp, Ninnat Dangniam, Marc-Antoine Lemonde et al. • Physical Review Research (2020)

Parametrized quantum evolution is the main ingredient in variational quantum algorithms for near-term quantum devices. In digital quantum computing, it has been shown that random parametrized quantum circuits are able to express complex dis...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.2.043364

Multi-target quantum compilation algorithm

Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja, Nguyen Vu Linh et al. • Machine Learning: Science and Technology (2024)

Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum sta...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/ad9705

Collective dynamics in holographic fractonic solids

Ling-Zheng Xia, Lixin Xu, Wei-Jia Li • Journal of High Energy Physics (2026)

Abstract Fractonic phases of matter, a class of states in which collective excitations with constrained mobility exist, were originally discovered in the study of quantum error-correcting codes in solvable lattice spin models such as Haah’s...

DOAJ Open Access (DOAJ) DOI: 10.1007/JHEP02(2026)089