256 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Southern CaliforniaUS18 papers
- California Institute of TechnologyUS5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Infrared Processing and Analysis CenterUS4 papers
- ETH ZurichCH3 papers
- Flatiron Institute3 papers
- Technical University of MunichDE3 papers
- Université Grenoble AlpesFR3 papers
- Université Paris CitéFR3 papers
- Université Paris Sciences et LettresFR3 papers
- University of British ColumbiaCA3 papers
- University of CambridgeGB3 papers
18 papers
Characterizing Dislocation Substructures in Creep-Deformed Olivine Using Electron Channeling Contrast Imaging
M. Haroon Qaiser, Jessica White, David Wallis +1
Olivine is the dominant mineral in Earth's upper mantle and therefore controls mantle rheology and the mechanics of plate tectonics. The constitutive laws for dislocation-mediated…
Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification
Euclid Collaboration, X. Xu, R. Chen +308
We present an end-to-end, iterative pipeline for efficient identification of strong galaxy--galaxy lensing systems, applied to the Euclid Q1 imaging data. Starting from VIS catalog…
Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine F -- Bright and low-redshift strong lenses
Euclid Collaboration, L. R. Ecker, M. Fabricius +346
We present 72 additional galaxy-galaxy strong lenses that complement the sample discovered in the Euclid Quick Release 1 data (63.1 deg^2) of the Strong Lens Discovery Engine (SLDE…
Decomposing Gaussians with Unknown Covariance
Ameer Dharamshi, Anna Neufeld, Lucy L. Gao +2
Common workflows in machine learning and statistics rely on the ability to partition the information in a data set into independent portions. Recent work has shown that this may be…
Quantum Fourier Transform using Dynamic Circuits
Elisa Bäumer, Vinay Tripathi, Alireza Seif +2
In dynamic quantum circuits, classical information from mid-circuit measurements is fed forward during circuit execution. This emerging capability of quantum computers confers nume…
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
Aakash Ravindra Shinde, Charu Jain, Amir Kalev
Quantum convolutional neural network (QCNN), an early application for quantum computers in the NISQ era, has been consistently proven successful as a machine learning (ML) algorith…
Localization transition induced by programmable disorder
Jaime L. C. da C. Filho, Zoe Gonzalez Izquierdo, Andreia Saguia +3
We investigate the occurrence of many-body localization (MBL) on a spin-1/2 transverse-field Ising model defined on a Chimera connectivity graph with random exchange interactions a…
Distribution of seismic scatterers in the San Jacinto Fault Zone, southeast of Anza, California, based on passive matrix imaging
Rita Touma, Alexandre Aubry, Yehuda Ben-Zion +1
Fault zones are associated with multi-scale heterogeneities of rock properties. Large scale variations may be imaged with conventional seismic reflection methods that detect offset…
Quantum algorithm for time-dependent Hamiltonian simulation by permutation expansion
Yi-Hsiang Chen, Amir Kalev, Itay Hen
We present a quantum algorithm for the dynamical simulation of time-dependent Hamiltonians. Our method involves expanding the interaction-picture Hamiltonian as a sum of generalize…
Energy conservative SBP discretizations of the acoustic wave equation in covariant form on staggered curvilinear grids
Ossian O'Reilly, N. Anders Petersson
We develop a numerical method for solving the acoustic wave equation in covariant form on staggered curvilinear grids in an energy conserving manner. The use of a covariant basis d…
NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems
Giuseppe Carleo, Kenny Choo, Damian Hofmann +15
We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and…
Efficient Reconstructions of Common Era Climate via Integrated Nested Laplace Approximations
Luis A. Barboza, Julien Emile-Geay, Bo Li +1
Paleoclimate reconstruction on the Common Era (1-2000AD) provide critical context for recent warming trends. This work leverages integrated nested Laplace approximations (INLA) to…
Non-monotonicity of the frictional bimaterial effect
Michael Aldam, Shiqing Xu, Efim A. Brener +2
Sliding along frictional interfaces separating dissimilar elastic materials is qualitatively different from sliding along interfaces separating identical materials due to the exist…
Noise suppression via generalized-Markovian processes
Jeffrey Marshall, Lorenzo Campos Venuti, Paolo Zanardi
It is by now well established that noise itself can be useful for performing quantum information processing tasks. We present results which show how one can effectively reduce the…
Quantum coherence generating power, maximally abelian subalgebras, and Grassmannian Geometry
Paolo Zanardi, Lorenzo Campos Venuti
We establish a direct connection between the power of a unitary map in -dimensions () to generate quantum coherence and the geometry of the set of maximal…
Modular Quantum Information Processing by Dissipation
Jeffrey Marshall, Lorenzo Campos Venuti, Paolo Zanardi
Dissipation can be used as a resource to control and simulate quantum systems. We discuss a modular model based on fast dissipation capable of performing universal quantum computat…
Data Sharing Options for Scientific Workflows on Amazon EC2
Gideon Juve, Ewa Deelman, Karan Vahi +4
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data be…
Scientific Workflow Applications on Amazon EC2
Gideon Juve, Ewa Deelman, Karan Vahi +4
The proliferation of commercial cloud computing providers has generated significant interest in the scientific computing community. Much recent research has attempted to determine…