10.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harvard UniversityUS735 papers
- Massachusetts Institute of TechnologyUS455 papers
- University of OxfordGB379 papers
- University of ChicagoUS368 papers
- University of MichiganUS356 papers
- Lawrence Berkeley National LaboratoryUS354 papers
- The Ohio State UniversityUS350 papers
- Yale UniversityUS348 papers
- University of PittsburghUS317 papers
- Argonne National LaboratoryUS316 papers
- University College LondonGB312 papers
- University of PisaIT310 papers
387 papers · 1 filter
NGC 1850 BH1 is another stripped-star binary masquerading as a black hole
Kareem El-Badry, Kevin Burdge
We show that the radial velocity-variable star in the black hole candidate NGC 1850 BH1 cannot be a normal subgiant, as was proposed, but is an overluminous…
Spectral control of nonclassical light using an integrated thin-film lithium niobate modulator
Di Zhu, Changchen Chen, Mengjie Yu +11
Manipulating the frequency and bandwidth of nonclassical light is essential for implementing frequency-encoded/multiplexed quantum computation, communication, and networking protoc…
Magneto-Optical Trapping and Sub-Doppler Cooling of a Polyatomic Molecule
Nathaniel B. Vilas, Christian Hallas, Loïc Anderegg +4
We report magneto-optical trapping (MOT) of a polyatomic molecule, calcium monohydroxide (CaOH). The MOT contains CaOH molecules at a peak density of $3.0(8)\ti…
Analysis of a Tau Neutrino Origin for the Near-Horizon Air Shower Events Observed by the Fourth Flight of the Antarctic Impulsive Transient Antenna (ANITA)
R. Prechelt, S. A. Wissel, A. Romero-Wolf +65
We study in detail the sensitivity of the Antarctic Impulsive Transient Antenna (ANITA) to possible point source fluxes detected via -lepton-induced air showers. This inve…
The Importance of Being Interpretable: Toward An Understandable Machine Learning Encoder for Galaxy Cluster Cosmology
Michelle Ntampaka, Alexey Vikhlinin
We present a deep machine learning (ML) approach to constraining cosmological parameters with multi-wavelength observations of galaxy clusters. The ML approach has two components:…
A Hierarchy for Replica Quantum Advantage
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang +1
We prove that given the ability to make entangled measurements on at most replicas of an -qubit state simultaneously, there is a property of which requires at least…
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier that Validates 301 New Exoplanets
Hamed Valizadegan, Miguel Martinho, Laurent S. Wilkens +10
The kepler and TESS missions have generated over 100,000 potential transit signals that must be processed in order to create a catalog of planet candidates. During the last few yea…
Black Holes in Klein Space
Erin Crawley, Alfredo Guevara, Noah Miller +1
The analytic continuation of the general signature Lorentzian Kerr-Taub-NUT black holes to signature Kleinian black holes is studied. Their global structure is char…
A quantum processor based on coherent transport of entangled atom arrays
Dolev Bluvstein, Harry Levine, Giulia Semeghini +9
The ability to engineer parallel, programmable operations between desired qubits within a quantum processor is central for building scalable quantum information systems. In most st…
Noether Networks: Meta-Learning Useful Conserved Quantities
Ferran Alet, Dylan Doblar, Allan Zhou +3
Progress in machine learning (ML) stems from a combination of data availability, computational resources, and an appropriate encoding of inductive biases. Useful biases often explo…
Revisiting dequantization and quantum advantage in learning tasks
Jordan Cotler, Hsin-Yuan Huang, Jarrod R. McClean
It has been shown that the apparent advantage of some quantum machine learning algorithms may be efficiently replicated using classical algorithms with suitable data access -- a pr…
Systematic KMTNet Planetary Anomaly Search, Paper III: One Wide-Orbit Planet And Two Stellar Binaries
Hanyue Wang, Weicheng Zang, Wei Zhu +36
Only a few wide-orbit planets around old stars have been detected, which limits our statistical understanding of this planet population. Following the systematic search for planeta…
Abelian duality in topological field theory
Yu Leon Liu
We prove a topological version of abelian duality where the gauge groups are finite abelian. The theories are finite homotopy TFTs, topological analogues of the -form gau…
Recommending with Recommendations
Naveen Durvasula, Franklyn Wang, Scott Duke Kominers
Recommendation systems are a key modern application of machine learning, but they have the downside that they often draw upon sensitive user information in making their predictions…
The Hitchhiker's Guide to 4d Superconformal Field Theories
Mohammad Akhond, Guillermo Arias-Tamargo, Alessandro Mininno +4
Superconformal field theory with supersymmetry in four dimensional spacetime provides a prime playground to study strongly coupled phenomena in quantum field theory…
On sketching approximations for symmetric Boolean CSPs
Joanna Boyland, Michael Hwang, Tarun Prasad +2
A Boolean maximum constraint satisfaction problem, Max-CSP(), is specified by a predicate . An -variable instance of Max-CSP() consists of a list o…
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis
Thomas Lew, Lucas Janson, Riccardo Bonalli +1
In this work, we analyze an efficient sampling-based algorithm for general-purpose reachability analysis, which remains a notoriously challenging problem with applications ranging…
Weak Lensing Trispectrum and Kurt-Spectra
Dipak Munshi, Hayden Lee, Cora Dvorkin +1
We introduce two kurt-spectra to probe fourth-order statistics of weak lensing convergence maps. Using state-of-the-art numerical simulations, we study the shapes of these kurt-spe…
Quantum advantage in learning from experiments
Hsin-Yuan Huang, Michael Broughton, Jordan Cotler +8
Quantum technology has the potential to revolutionize how we acquire and process experimental data to learn about the physical world. An experimental setup that transduces data fro…
Building astroBERT, a language model for Astronomy & Astrophysics
Felix Grezes, Sergi Blanco-Cuaresma, Alberto Accomazzi +14
The existing search tools for exploring the NASA Astrophysics Data System (ADS) can be quite rich and empowering (e.g., similar and trending operators), but researchers are not yet…
Non-splitting Neyman-Pearson Classifiers
Jingming Wang, Lucy Xia, Zhigang Bao +1
The Neyman-Pearson (NP) binary classification paradigm constrains the more severe type of error (e.g., the type I error) under a preferred level while minimizing the other (e.g., t…
Natural Language and Spatial Rules
Alexandros Haridis, Stella Rossikopoulou Pappa
We develop a system that formally represents spatial semantics concepts within natural language descriptions of spatial arrangements. The system builds on a model of spatial semant…
Improving Teacher-Student Interactions in Online Educational Forums using a Markov Chain based Stackelberg Game Model
Rohith Dwarakanath Vallam, Priyanka Bhatt, Debmalya Mandal +1
With the rapid proliferation of the Internet, the area of education has undergone a massive transformation in terms of how students and instructors interact in a classroom. Online…
Electrically-pumped high-power laser transmitter integrated on thin-film lithium niobate
Amirhassan Shams-Ansari, Dylan Renaud, Rebecca Cheng +8
Integrated thin-film lithium niobate (TFLN) photonics has emerged as a promising platform for realization of high-performance chip-scale optical systems. Of particular importance a…