Zobrazeno 1 - 10
of 22 730
pro vyhledávání: '"Symons A"'
Autor:
Balakrishnan, Mayura, Bowens, Rory, Aguirre, Fernando Cruz, Hughes, Kaeli, Jayaraman, Rahul, Kuhn, Emily, Louden, Emma, Louie, Dana R., McBride, Keith, McGrath, Casey, Payne, Jacob, Presser, Tyler, Reding, Joshua S., Rickman, Emily, Scrandis, Rachel, Symons, Teresa, Wiser, Lindsey, Jahoda, Keith, Kataria, Tiffany, Nash, Alfred, X, Team
Publikováno v:
Volume 136, Number 10, 2024
We present the mission concept "Mission to Analyze the UltraViolet universE" (MAUVE), a wide-field spectrometer and imager conceived during the inaugural NASA Astrophysics Mission Design School. MAUVE responds to the 2023 Announcement of Opportunity
Externí odkaz:
http://arxiv.org/abs/2411.04164
Autor:
Kan, Angus, Symons, Benjamin
Exploring low-cost applications is paramount to creating value in early fault-tolerant quantum computers. Here we optimize both gate and qubit counts of recent algorithms for simulating the Fermi-Hubbard model. We further devise and compile algorithm
Externí odkaz:
http://arxiv.org/abs/2411.02160
Autor:
Hamdi, Mohamed Amine, Daghero, Francesco, Sarda, Giuseppe Maria, Van Delm, Josse, Symons, Arne, Benini, Luca, Verhelst, Marian, Pagliari, Daniele Jahier, Burrello, Alessio
Streamlining the deployment of Deep Neural Networks (DNNs) on heterogeneous edge platforms, coupling within the same micro-controller unit (MCU) instruction processors and hardware accelerators for tensor computations, is becoming one of the crucial
Externí odkaz:
http://arxiv.org/abs/2410.08855
Autor:
Schiavello, Francesca, Altamura, Edoardo, Tavernelli, Ivano, Mensa, Stefano, Symons, Benjamin
Our research combines an Evolutionary Algorithm (EA) with a Quantum Approximate Optimization Algorithm (QAOA) to update the ansatz parameters, in place of traditional gradient-based methods, and benchmark on the Max-Cut problem. We demonstrate that o
Externí odkaz:
http://arxiv.org/abs/2409.10739
The impact of transformer networks is booming, yet, they come with significant computational complexity. It is therefore essential to understand how to optimally map and execute these networks on modern neural processor hardware. So far, literature o
Externí odkaz:
http://arxiv.org/abs/2406.09804
In this work, we consider the imaginary time evolution of matrix product states. We present a novel quantum-inspired classical method that, when combined with time evolving block decimation (TEBD), is able to potentially speed-up the convergence to a
Externí odkaz:
http://arxiv.org/abs/2405.04959
Autor:
Crill, Brendan P., Werner, Michael, Akeson, Rachel, Ashby, Matthew, Bleem, Lindsey, Bock, James J., Bryan, Sean, Burnham, Jill, Byunh, Joyce, Chang, Tzu-Ching, Chiang, Yi-Kuan, Cook, Walter, Cooray, Asantha, Davis, Andrew, Doré, Olivier, Dowell, C. Darren, Dubois-Felsmann, Gregory, Eifler, Tim, Faisst, Andreas, Habib, Salman, Heinrich, Chen, Heitmann, Katrin, Heaton, Grigory, Hirata, Christopher, Hristov, Viktor, Hui, Howard, Jeong, Woong-Seob, Kang, Jae Hwan, Kecman, Branislav, Kirkpatrick, J. Davy, Korngut, Phillip M., Krause, Elisabeth, Lee, Bomee, Lisse, Carey, Masters, Daniel, Mauskopf, Philip, Melnick, Gary, Miyasaka, Hiromasa, Nayyeri, Hooshang, Nguyen, Hien, Öberg, Karin, Padin, Steve, Paladini, Roberta, Pourrahmani, Milad, Pyo, Jeonghyun, Smith, Roger, Song, Yong-Seong, Symons, Teresa, Teplitz, Harry, Tolls, Volker, Unwin, Steve, Windhorst, Rogier, Yang, Yujin, Zemcov, Michael
Publikováno v:
Proceedings Volume 11443, Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave; 114430I (2020)
SPHEREx, the Spectro-Photometer for the History of the Universe, Epoch of Reionization, and ices Explorer, is a NASA MIDEX mission planned for launch in 2024. SPHEREx will carry out the first all-sky spectral survey at wavelengths between 0.75 micron
Externí odkaz:
http://arxiv.org/abs/2404.11017
Publikováno v:
Towards a Pacific Island Sociology of Sport
Autor:
Sahin, M. Emre, Symons, Benjamin C. B., Pati, Pushpak, Minhas, Fayyaz, Millar, Declan, Gabrani, Maria, Mensa, Stefano, Robertus, Jan Lukas
Publikováno v:
Quantum 8, 1502 (2024)
Quantum machine learning with quantum kernels for classification problems is a growing area of research. Recently, quantum kernel alignment techniques that parameterise the kernel have been developed, allowing the kernel to be trained and therefore a
Externí odkaz:
http://arxiv.org/abs/2401.02879
Autor:
Abbas, Amira, Ambainis, Andris, Augustino, Brandon, Bärtschi, Andreas, Buhrman, Harry, Coffrin, Carleton, Cortiana, Giorgio, Dunjko, Vedran, Egger, Daniel J., Elmegreen, Bruce G., Franco, Nicola, Fratini, Filippo, Fuller, Bryce, Gacon, Julien, Gonciulea, Constantin, Gribling, Sander, Gupta, Swati, Hadfield, Stuart, Heese, Raoul, Kircher, Gerhard, Kleinert, Thomas, Koch, Thorsten, Korpas, Georgios, Lenk, Steve, Marecek, Jakub, Markov, Vanio, Mazzola, Guglielmo, Mensa, Stefano, Mohseni, Naeimeh, Nannicini, Giacomo, O'Meara, Corey, Tapia, Elena Peña, Pokutta, Sebastian, Proissl, Manuel, Rebentrost, Patrick, Sahin, Emre, Symons, Benjamin C. B., Tornow, Sabine, Valls, Victor, Woerner, Stefan, Wolf-Bauwens, Mira L., Yard, Jon, Yarkoni, Sheir, Zechiel, Dirk, Zhuk, Sergiy, Zoufal, Christa
Publikováno v:
Nat Rev Phys (2024)
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum algorithms has developed in many areas, with optimization being one of
Externí odkaz:
http://arxiv.org/abs/2312.02279