most citedMultimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys

15 citations

28 papers

cond-mat.supr-con2026

Internal cyclotron probe of the vertical polarizability of a surface-state electron on helium

Kirill Shulga

We study a surface-state electron on liquid helium in a tilted magnetic field. The tilt couples the cyclotron ladder to the vertical Rydberg-like subbands of the same electron and…

quant-ph2026

Multicast quantum network coding as optimal symmetric universal cloning over a quantum network

Go Kato, Mio Murao, Masaki Owari

We study the problem of perfectly multicasting symmetric universal clones of unknown quantum states over quantum networks with free classical communication. We construct a protocol…

cond-mat.supr-con2026

Bridging ambient- and high-pressure superconductivity in LaLnNiO films

Motoki Osada, Chieko Terakura, Shusaku Imajo +9

The discovery of high critical-temperature superconductivity near 80 K in bilayer nickelates under high pressure has sparked extensive studies. While superconducti…

quant-ph20264 cited

Qu-Trefoil: Large-Scale Quantum Circuit Simulator Working on FPGA With SATA Storages

Kaijie Wei, Hideharu Amano, Ryohei Niwase +2

Quantum circuits are fundamental components of quantum computing, and state-vector-based quantum circuit simulation is a widely used technique for tracking qubit behavior throughou…

cond-mat.supr-con2026

Quadrupolar phase transition in superconducting lanthanum hydride

Abhishek Raghav, Kousuke Nakano, Marco Cherubini +2

Lanthanum hydride (LaH) has been widely studied for its high superconducting critical temperature of 250 K at about 170 GPa pressure. Although the structural -t…

astro-ph.HE2026

Three-Dimensional Expansion of Iron Ejecta in Cassiopeia A with Chandra and XRISM

Aya Bamba, Tomoki Kadoya, Kouichi Hagino +4

Measurement of the expansion structure of ejecta in supernova remnants (SNRs) provides important information about their explosion mechanism. We combine Chandra proper-motion measu…