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๐Ÿ” computing methodologies ๐Ÿ“‚ Physics
Showing 57802 results for "computing methodologies" in Physics
Physics Preprint PDF DOI

High-yield integration design of fixed-frequency superconducting qubit systems using siZZle-CZ gates

Kazuhisa Ogawa, Yutaka Tabuchi, Makoto Negoro ยท 2026

Fixed-frequency transmon qubits, characterized by simple architectures and long coherence times, are promising platforms for large-scale quantum computing. However, the rapidly increasing frequency coโ€ฆ

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Physics Preprint PDF DOI

Programmable Electromagnetic Space via Metasurface Clusters

Min Li, Lixiang Meng, Gongxu Dong, Xiaobo Zhou, Lu Song, Puti Yan, Dashuang Liao, Chao Qian, Zuojia Wang, Hongsheng Chen ยท 2026

The rapid evolution of next-generation communications and the Internet of Things (IoT) has catalyzed an urgent demand for governing expansive spatial environments as functional electromagnetic (EM) enโ€ฆ

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Physics Preprint PDF DOI

Analytical $poly\Lambda$CDM dynamics

Pierros Ntelis, Jackson Levi Said ยท 2026

We develop a novel analytical dynamical analysis to derive precise energy density ratio evolutions for the $\phi$CDM and $poly\Lambda$CDM models, comparing them to the standard $\Lambda$CDM model and โ€ฆ

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Physics Preprint PDF DOI

Memory-Nonlinearity Trade-off across Quantum Reservoir Computing Frameworks

Saud Cindrak, Lara Giebeler, Niclas Gotting, Christopher Gies, Kathy Ludge ยท 2026

Quantum reservoir computing (QRC) harnesses driven quantum dynamics for time-series processing, yet the mechanisms behind the differing performance levels across its many implementations remain uncleaโ€ฆ

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Physics Preprint PDF DOI

Parallel adaptive reweighting importance sampling for Bayesian astrophysics

Miaoxin Liu, Alvin J. K. Chua ยท 2026

Efficiently sampling from high-dimensional, multi-modal posteriors is a central challenge in Bayesian inference for astrophysics, especially gravitational-wave astronomy. Popular families of methods lโ€ฆ

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Physics Preprint PDF DOI

Towards Computational Microscope of Chemical Order-Disorder via ML-Accelerated Monte Carlo Simulation

Fanli Zhou, Hao Chen, Pengxiang Xu, Kai Yang, Zongrui Pei, Xianglin Liu ยท 2026

Tailoring the performance of next-generation high entropy materials requires a deep understanding of the competition between entropy-driven random solid solution and enthalpy-driven chemical ordering.โ€ฆ

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First Plasma Atomic Layer Etching of Diamond via O$_2$/Kr Chemistry

Duc Duy Tran, Cedric Mannequin, Aboulaye Traore, Masahiro Sasaki, Etienne Gheeraert ยท 2026

We report the first plasma atomic layer etching (ALE) process for diamond using a cyclic plasma sequence composed of two separated steps: oxygen surface modification and krypton ion removal. The proceโ€ฆ

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Lie-algebraic incompleteness of symmetry-adapted VQE for non-Abelian molecular point groups

Leon D. da Silva, Marcelo P. Santos ยท 2026

Symmetry-adapted variational quantum eigensolvers (VQE) based on the Unitary Coupled-Cluster ansatz (SymUCCSD) effectively reduce the parameter count for Abelian molecular point groups, yet they systeโ€ฆ

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Barium Magnesium Alloy as Source of Atomic Ba for Ion Trapping

Jane Gunnell, Thomas Griffiths, Boris B. Blinov ยท 2026

Trapped atomic ion qubits exhibit long coherence times and high fidelity qubit state preparation, manipulation and detection, making them well-suited for scalable quantum computing applications. Amongโ€ฆ

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SOMA: A Single-Material Organic Multivibrator Adaptive Neuron for Fully Integrated PEDOT:PSS Neuromorphic Systems

Nikita Prudnikov, Yeohoon Yoon, Hans Kleemann ยท 2026

Neuromorphic electronics and spiking neural networks (SNNs) offer energy-efficient data processing, essential for real-time and edge-computing applications. In particular, interfacing and processing bโ€ฆ

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Broad-band Mid-infrared Laser Generation via Cascading Deceleration in Plasma Channels

TianLiang Zhang, YunXiao He, Shuang Liu, JiuCheng Chen, JianFei Hua, Wei Lu ยท 2026

Plasma-based mid-infrared (MIR) laser generation has garnered significant interest owing to its advantage of high output power, continuous wavelength tunability, and ultrashort pulse durations. Howeveโ€ฆ

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Modeling surface radiation of rotating neutron stars with Monk-NS

Wenda Zhang, Wenfei Yu ยท 2026

Neutron stars serve as unique laboratories for studying ultra-dense nuclear matter. The equation of state of neutron star matter can be effectively constrained by their masses and radii. Particular atโ€ฆ

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Temporal Entanglement in Quantum Field Theory

Olalla A. Castro-Alvaredo ยท 2026

In this paper I propose a branch point twist field approach to computing a temporal entropy, that is, an entanglement measure across different time regions, as opposed to the usual spacial measures. Iโ€ฆ

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FALQON-MST: A Fully Quantum Framework for Graph Optimization in Vision Systems

Guilherme E. L. Pexe, Lucas A. M. Rattighieri, Leandro A. Passos, Douglas Rodrigues, Danilo S. Jodas, Joao P. Papa, Kelton A. P. da Costa ยท 2026

Finding the minimum spanning tree (MST) of a graph is an important task in computer vision, as it enables a sparse and low-cost representation of connectivity among elements (such as superpixels, poinโ€ฆ

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EQISA: Energy-efficient Quantum Instruction Set Architecture using Sparse Dictionary Learning

Sibasish Mishra, Aritra Sarkar, Sebastian Feld ยท 2026

The scalability of quantum computing in supporting sophisticated algorithms critically depends not only on qubit quality and error handling, but also on the efficiency of classical control, constraineโ€ฆ

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Unifying Variational and Dynamical Quantum Embedding: From Ghost Gutzwiller Approximation to Dynamical Mean-Field Theory

Samuele Giuli, Tsung-Han Lee, Yong-Xin Yao, Gabriel Kotliar, Andrei E. Ruckenstein, Olivier Gingras, Nicola Lanata ยท 2026

Dynamical and variational frameworks have long been viewed as distinct paradigms. In particular, in quantum embedding (QE) frameworks, dynamical mean-field theory (DMFT) captures nonperturbative dynamโ€ฆ

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Magnetic white dwarfs from DESI

Larissa L. Amorim, S. O. Kepler, Alejandra D. Romero ยท 2026

A significant fraction of white dwarfs, the degenerate remnants of low- and intermediate-mass stars, host strong magnetic fields; yet, the origin and evolution of these magnetic fields remain poorly uโ€ฆ

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Pulsed two-photon scattering from a single atom in a waveguide with delay-modified temporal correlations

Matthew Kozma, Sofia Arranz Regidor, Stephen Hughes ยท 2026

Quantum nonlinearity is an essential ingredient for many quantum technologies, but often the nonlinearity is too weak to be exploited at the few-photon level. However, few photons interacting stronglyโ€ฆ

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Parameter-optimal unitary synthesis with flag decompositions

Korbinian Kottmann, David Wierichs, Guillermo Alonso-Linaje, Nathan Killoran ยท 2026

We introduce the flag decomposition as a central tool for unitary synthesis. It lets us carve out a diagonal unitary with $2^n$ degrees of freedom in such a way that the remaining flag circuit is paraโ€ฆ

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Quantum inference on a classically trained quantum extreme learning machine

Emanuele Brusaschi, Marco Clementi, Marco Liscidini, Daniele Bajoni, Matteo Galli, Massimo Borghi ยท 2026

Quantum extreme learning machines (QELMs) are unconventional computing architectures that bear remarkable promise in both classical and quantum machine-learning tasks, such as the estimate of quantum โ€ฆ

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