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๐Ÿ” pedro aceves ๐Ÿ“‚ Physics
Showing 6765 results for "pedro aceves" in Physics
Physics Preprint PDF DOI

Optimal current-based sensing of phonon temperature using a finite reservoir

Sindre Brattegard, Stephanie Matern, Mark T. Mitchison, Saulo V. Moreira ยท 2026

In realistic nanoscale transport set-ups, electron-phonon coupling leads to the exchange of heat between phonon baths and electronic reservoirs with finite heat capacities. Such exchange affects the fโ€ฆ

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Physics Preprint PDF DOI

The Large Array Survey Telescope-Pipeline. II. Image Subtraction and Transient Detection

R. Konno, E. O. Ofek, A. Krassilchtchikov, Y. Shvartzvald, S. Ben-Ami, D. Polishook, C. Tishler, E. Segre, S. Garrappa, E. A. Zimmermann, A. Horowicz, P. Chen, A. Gal-Yam, M. Engel, Y. M. Shani, S. A. Spitzer, S. Fainer, O. Yaron, A. Blumenzweig ยท 2026

Context. The Large Array Survey Telescope (LAST) is a wide-field visual-band survey designed to explore the variable and transient sky with high cadence. Its raw data stream is automatically processedโ€ฆ

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Physics Preprint PDF DOI

Unentangled stoquastic Merlin-Arthur proof systems: the power of unentanglement without destructive interference

Yupan Liu, Pei Wu ยท 2026

Stoquasticity, originating in sign-problem-free physical systems, gives rise to $\sf StoqMA$, introduced by Bravyi, Bessen, and Terhal (2006), a quantum-inspired intermediate class between $\sf MA$ anโ€ฆ

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Physics Preprint PDF DOI

Heisenberg-limited Hamiltonian learning without short-time control

Myeongjin Shin, Junseo Lee, Changhun Oh ยท 2026

Characterizing quantum systems by learning their underlying Hamiltonians is a central task in quantum information science. While recent algorithmic advances have achieved near-optimal efficiency in thโ€ฆ

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Physics Preprint PDF DOI

Radio signal generation in milliseconds: enabling multi-parameter reconstruction of ultra-high-energy cosmic rays

Arsene Ferriere (for the GRAND Collaboration) ยท 2026

In recent years, radio detection of ultra-high-energy cosmic rays (UHECRs), with energies above $10^{18}$ eV, has become an established technique. The radio emissions can be simulated with high accuraโ€ฆ

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Hyperfine-resolved laser excitation and detection of nuclear isomer in trapped $^{229}$Th$^{3+}$ ions

Wu Wang, Ke Zhang, Ke-Mi Xu, Shan-Gui Zhou ยท 2026

We present a comprehensive theoretical investigation of hyperfine-resolved excitation and detection of the low-energy isomeric state of $^{229}$Th in trapped $^{229}\mathrm{Th}^{3+}$ ions. Using a quaโ€ฆ

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High-Rate Free-Space Continuous-Variable QKD with Self-Referenced Passive State Preparation

H.W. Yin, X.J. Liao, Y.H. Xu, P. Huang, K.T. Zhu, T. Wang, G.H. Zeng ยท 2026

Continuous-variable quantum key distribution (CVQKD) using passive state preparation (PSP) offers low-cost, high-rate secure communication. However, the existing PSP-CVQKD scheme with a transmitted loโ€ฆ

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Quantum Anonymous Secret Sharing with Permutation Invariant Codes

Varin Sikand, Andrew Nemec ยท 2026

Quantum secret sharing schemes are a family of quantum cryptographic protocols which provide secure quantum encodings, mapping one secret to multiple shares of information such that the original secreโ€ฆ

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Hybrid Fourier Neural Operator-Lattice Boltzmann Method

Alexandra Junk, Josef M. Winter, Meike Tutken, Steffen Schmidt, Nikolaus A. Adams ยท 2026

We propose an accelerated computational fluid dynamics framework based on a hybrid Fourier Neural Operator-Lattice Boltzmann Method (FNO-LBM) for steady and unsteady weakly compressible flows. FNO-basโ€ฆ

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Physics Preprint PDF DOI

Beyond Cloud-9: The case for discovering more HI-rich failed halos

Jorge Moreno, Coral Wheeler, Francisco J. Mercado, M. Katy Rodriguez Wimberly, Pratik J. Gandhi, Jenna Samuel, Robert Feldmann, James S. Bullock, Andrew Wetzel, Michael Boylan-Kolchin ยท 2026

HI-rich starless halos, should they exist, hold great promise for elucidating properties of dark matter halos. This Letter examines the properties of HI-rich failed halos at redshift zero across stateโ€ฆ

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The link between coil non planarity and magnetic surface geometry in QI stellarators: a data driven study

Andrea Pavone, Felix Warmer ยท 2026

Stellarator fusion devices confine plasma by means of complex, non-planar electromagnetic coils. Understanding how the shape of the plasma boundary determines the required complexity of the coil set iโ€ฆ

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Sub-50 Picosecond exceptionally Bright Perovskite Scintillation by Unlocking Giant Oscillator Strength

Chuanwei Dai, Yunbiao Zhao, Xiao Ouyang, Huaqing Huang, Yulan Liang, Jiaqi Bai, Yingjie Song, Jianhan Sun, Yiqun Duan, Wenjun Ma, Senlin Huang, Shufeng Wang, Jianming Xue, Xiaoping Ouyang ยท 2026

Ultrafast scintillators are indispensable for precise timing in high-energy physics and medical diagnostics. Fundamentally constrained by the trade-off between emission rate and light yield, conventioโ€ฆ

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Hardware-Efficient Hamiltonian Simulation via Trotter-Initialized Variational Optimization with Native Placement

F. S. Luiz, P. N. Ferreira, M. C. de Oliveira ยท 2026

Compiling time-evolution operators of the form $U(t)=e^{-iHt}$ into hardware-native gate sequences is a central bottleneck for digital quantum simulation on noisy intermediate-scale quantum (NISQ) devโ€ฆ

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Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence

Sunan Zhao, Yunpeng Wang, Huiyu Yang, Zhihong Guo, Jianchun Wang ยท 2026

Accurate and efficient prediction of three-dimensional (3D) wall-bounded turbulent flows poses a significant challenge for machine learning methods, particularly in scenarios where flow field data areโ€ฆ

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A Hybrid Gas-Kinetic Scheme and Discrete Velocity Method for Continuum and Rarefied Flows

Hangkong Wu, Yuze Zhu, Yajun Zhu, Kun Xu ยท 2026

The gas-kinetic scheme (GKS) provides high computational efficiency and accuracy for continuum flow simulations but is unable to reliably capture rarefaction effects. In contrast, although the discretโ€ฆ

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Geometry-Based Neural-Network Prediction of Electron Localization Function Topology in Dense Hydrogen

Xiaoyu Wang, Miriam Marques, Sergio Gomez, Francesc Serratosa, Eva Zurek, Julia Contreras-Garcia ยท 2026

We develop a machine-learning framework to predict the electron localization function (ELF) of pure, dense hydrogen directly from atomic geometry, bypassing explicit electronic-structure calculations.โ€ฆ

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Quantum Grover Adaptive Search for Discrete Simulation Optimization

Mingjie Hu, Jian-qiang Hu, Enlu Zhou ยท 2026

Quantum computing has advanced rapidly in recent years and has shown advantages in a variety of domains. In this paper, we investigate its potential for discrete simulation optimization in the fixed-cโ€ฆ

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Exponentially improved quantum simulation of scalar QFT

Qing-Hong Cao, Ying-Ying Li, Xiaohui Liu, Liang-Qi Zhang, Ke Zhao ยท 2026

Quantum simulations of scalar quantum field theories (QFT) provide important benchmarks for demonstrating quantum advantage. We revisit digitization in the occupation basis, which is typically hindereโ€ฆ

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Machine Learning Enables Real-Time Waveform Decomposition for Dual-Readout Calorimetry

Liangyu Wu, Qibin Liu, Marco Toliman Lucchini, Julia Gonski, Marcello Campajola, Stefano Moneta ยท 2026

Dual-readout calorimeters achieve superior energy resolution by simultaneously measuring Cherenkov and scintillation signals for event-by-event electromagnetic fraction correction, making them attractโ€ฆ

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An Exponential Advantage for Adaptive Tomography of Structured States under Pauli Basis Measurements

Alireza Goldar, Zhen Qin, Zhihui Zhu, Zhe-Xuan Gong, Michael B. Wakin ยท 2026

Broad claims about whether adaptivity helps in quantum state tomography can be misleading unless the state family, measurement architecture, and error metric are specified carefully. We study a restriโ€ฆ

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