Zobrazeno 1 - 10
of 15 093
pro vyhledávání: '"Ehrenberg, A."'
Autor:
Bringewatt, Jacob, Steffen, Zach, Ritter, Martin A., Ehrenberg, Adam, Wang, Haozhi, Palmer, B. S., Kollár, Alicia J., Gorshkov, Alexey V., García-Pintos, Luis Pedro
Leveraging quantum information geometry, we derive generalized quantum speed limits on the rate of change of the expectation values of observables. These bounds subsume and, for Hilbert space dimension $\geq 3$, tighten existing bounds -- in some cas
Externí odkaz:
http://arxiv.org/abs/2409.04544
Adversarial training aims to defend against *adversaries*: malicious opponents whose sole aim is to harm predictive performance in any way possible - a rather harsh perspective, which we assert results in unnecessarily conservative models. Instead, w
Externí odkaz:
http://arxiv.org/abs/2406.11458
Autor:
Ramirez, Francis McCann, Chkhetiani, Luka, Ehrenberg, Andrew, McHardy, Robert, Botros, Rami, Khare, Yash, Vanzo, Andrea, Peyash, Taufiquzzaman, Oexle, Gabriel, Liang, Michael, Sklyar, Ilya, Fakhan, Enver, Etefy, Ahmed, McCrystal, Daniel, Flamini, Sam, Donato, Domenic, Yoshioka, Takuya
This paper describes AssemblyAI's industrial-scale automatic speech recognition (ASR) system, designed to meet the requirements of large-scale, multilingual ASR serving various application needs. Our system leverages a diverse training dataset compri
Externí odkaz:
http://arxiv.org/abs/2404.09841
Recently, many experiments have been conducted with the goal of demonstrating a quantum advantage over classical computation. One popular framework for these experiments is Gaussian Boson Sampling, where quadratic photonic input states are interfered
Externí odkaz:
http://arxiv.org/abs/2403.18890
Autor:
Ehrenberg, Adam, Iosue, Joseph T., Deshpande, Abhinav, Hangleiter, Dominik, Gorshkov, Alexey V.
Gaussian Boson Sampling is a popular method for experimental demonstrations of quantum advantage, but many subtleties remain in fully understanding its theoretical underpinnings. An important component in the theoretical arguments for approximate ave
Externí odkaz:
http://arxiv.org/abs/2403.13878
Publikováno v:
Phys. Rev. Research 6, 013246 (2024)
The problem of optimally measuring an analytic function of unknown local parameters each linearly coupled to a qubit sensor is well understood, with applications ranging from field interpolation to noise characterization. Here, we resolve a number of
Externí odkaz:
http://arxiv.org/abs/2401.16472
Autor:
García-Pintos, Luis Pedro, Bharti, Kishor, Bringewatt, Jacob, Dehghani, Hossein, Ehrenberg, Adam, Halpern, Nicole Yunger, Gorshkov, Alexey V.
Publikováno v:
Phys. Rev. Lett. 133, 040802 (2024)
We upper- and lower-bound the optimal precision with which one can estimate an unknown Hamiltonian parameter via measurements of Gibbs thermal states with a known temperature. The bounds depend on the uncertainty in the Hamiltonian term that contains
Externí odkaz:
http://arxiv.org/abs/2401.10343
Autor:
Ehrenberg, Adam, Iosue, Joseph T., Deshpande, Abhinav, Hangleiter, Dominik, Gorshkov, Alexey V.
Gaussian Boson Sampling is a promising method for experimental demonstrations of quantum advantage because it is easier to implement than other comparable schemes. While most of the properties of Gaussian Boson Sampling are understood to the same deg
Externí odkaz:
http://arxiv.org/abs/2312.08433
Toric $t$-designs, or equivalently $t$-designs on the diagonal subgroup of the unitary group, are sets of points on the torus over which sums reproduce integrals of degree $t$ monomials over the full torus. Motivated by the projective structure of qu
Externí odkaz:
http://arxiv.org/abs/2311.13479
Autor:
Niroula, Pradeep, Dolde, Jack, Zheng, Xin, Bringewatt, Jacob, Ehrenberg, Adam, Cox, Kevin C., Thompson, Jeff, Gullans, Michael J., Kolkowitz, Shimon, Gorshkov, Alexey V.
The dominant noise in an "erasure qubit" is an erasure -- a type of error whose occurrence and location can be detected. Erasure qubits have potential to reduce the overhead associated with fault tolerance. To date, research on erasure qubits has pri
Externí odkaz:
http://arxiv.org/abs/2310.01512