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Quantum Simulation for High Energy Physics
It is for the first time that Quantum Simulation for High Energy Physics (HEP) is studied in the U.S. decadal particle-physics …
Christian W. Bauer, Zohreh Davoudi, A. Baha Balantekin, Tanmoy Bhattacharya, Marcela Carena, Wibe A. de Jong, Patrick Draper, Aida El-Khadra, Nate Gemelke, Masanori Hanada, Dmitri Kharzeev, Henry Lamm, Ying-Ying Li, Junyu Liu, Mikhail Lukin, Yannick Meurice, Christopher Monroe, Benjamin Nachman, Guido Pagano, John Preskill, Enrico Rinaldi, Alessandro Roggero, David I. Santiago, Martin J. Savage, Irfan Siddiqi, George Siopsis, David Van Zanten, Nathan Wiebe, Yukari Yamauchi, Kübra Yeter-Aydeniz, Silvia Zorzetti
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Optical and X-ray GRB Fundamental Planes as Cosmological Distance Indicators
Gamma-Ray Bursts (GRBs), observed up to z=9.4, can be employed as standardized candles, extending the distance ladder beyond …
Maria Giovanna Dainotti, Via Nielson, Giuseppe Sarracino, Enrico Rinaldi, Shigehiro Nagataki, Salvatore Capozziello, Oleg Y. Gnedin, Giada Bargiacchi
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Goldstone boson scattering with a light composite scalar
The appearance of a light composite 0+ scalar resonance in nearly conformal gauge-fermion theories motivates further study of the …
T. Appelquist, R. C. Brower, K. K. Cushman, G. T. Fleming, A. Gasbarro, A. Hasenfratz, J. Ingoldby, X.-Y. Jin, E. T. Neil, J. C. Osborn, C. Rebbi, E. Rinaldi, D. Schaich, P. Vranas, E. Weinberg, O. Witzel
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Nonperturbative test of the Maldacena-Milekhin conjecture for the BMN matrix model
We test a conjecture by Maldacena and Milekhin for the ungauged version of the Berenstein-Maldacena-Nastase (BMN) matrix model by …
Stratos Pateloudis, Georg Bergner, Norbert Bodendorfer, Masanori Hanada, Enrico Rinaldi, Andreas Schäfer
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On the Evolution of the Hubble Constant with the SNe Ia Pantheon Sample and Baryon Acoustic Oscillations: A Feasibility Study for GRB-Cosmology in 2030
The difference from 4 to 6 σ in the Hubble constant (H0 ) between the values observed with the local (Cepheids and Supernovae Ia, SNe …
Maria Giovanna Dainotti, Biagio De Simone, Tiziano Schiavone, Giovanni Montani, Enrico Rinaldi, Gaetano Lambiase, Malgorzata Bogdan, Sahil Ugale
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Predicting the Redshift of Gamma-Ray Loud AGNs Using Supervised Machine Learning. II
Measuring the redshift of active galactic nuclei (AGNs) requires the use of time-consuming and expensive spectroscopic analysis. …
Aditya Narendra, Spencer James Gibson, Maria Giovanna Dainotti, Malgorzata Bogdan, Agnieszka Pollo, Ioannis Liodakis, Artem Poliszczuk, Enrico Rinaldi
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The hyperon spectrum from lattice QCD
Hyperon decays present a promising alternative for extracting backslashvertVusbackslashvert from lattice QCD combined with …
Nolan Miller, Grant Bradley, M. A. Clark, Ben Hörz, Dean Howarth, Malcolm Lazarow, Henry Monge-Camacho, Amy Nicholson, Enrico Rinaldi, Pavlos Vranas, Andre Walker-Loud
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Using Multivariate Imputation by Chained Equations to Predict Redshifts of Active Galactic Nuclei
Redshift measurement of active galactic nuclei (AGNs) remains a time-consuming and challenging task, as it requires follow up …
Spencer James Gibson, Aditya Narendra, Maria Giovanna Dainotti, Malgorzata Bogdan, Agnieszka Pollo, Artem Poliszczuk, Enrico Rinaldi, Ioannis Liodakis
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Two-nucleon S-wave interactions at the SU(3) flavor-symmetric point with mud≃msphys: a first lattice QCD calculation with the stochastic Laplacian Heaviside method
We report on the first application of the stochastic Laplacian Heaviside method for computing multi-particle interactions with lattice …
Ben Hörz, Dean Howarth, Enrico Rinaldi, Andrew Hanlon, Chia Cheng Chang, Christopher Körber, Evan Berkowitz, John Bulava, M. A. Clark, Wayne Tai Lee, Colin Morningstar, Amy Nicholson, Pavlos Vranas, Andre Walker-Loud
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Matrix Model simulations using Quantum Computing, Deep Learning, and Lattice Monte Carlo
We study the two matrix models using deep learning methods and quantum simulations. We benchmark the results against lattice Monte Carlo simulations.
Enrico Rinaldi, Xizhi Han, Mohammad Hassan, Yuan Feng, Franco Nori, Michael McGuigan, Masanori Hanada
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Matrix Model simulations using Quantum Computing, Deep Learning, and Lattice Monte Carlo