Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Gacon, Julien"'
Autor:
Javadi-Abhari, Ali, Treinish, Matthew, Krsulich, Kevin, Wood, Christopher J., Lishman, Jake, Gacon, Julien, Martiel, Simon, Nation, Paul D., Bishop, Lev S., Cross, Andrew W., Johnson, Blake R., Gambetta, Jay M.
We describe Qiskit, a software development kit for quantum information science. We discuss the key design decisions that have shaped its development, and examine the software architecture and its core components. We demonstrate an end-to-end workflow
Externí odkaz:
http://arxiv.org/abs/2405.08810
Autor:
Gacon, Julien
Quantum computing not only holds the potential to solve long-standing problems in quantum physics, but also to offer speed-ups across a broad spectrum of other fields. However, due to the noise and the limited scale of current quantum computers, may
Externí odkaz:
http://arxiv.org/abs/2403.00940
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
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
The imaginary-time evolution of quantum states is integral to various fields, ranging from natural sciences to classical optimization or machine learning. Since simulating quantum imaginary-time evolution generally requires storing an exponentially l
Externí odkaz:
http://arxiv.org/abs/2305.07059
The real- and imaginary-time evolution of quantum states are powerful tools in physics, chemistry, and beyond, to investigate quantum dynamics, prepare ground states or calculate thermodynamic observables. On near-term devices, variational quantum ti
Externí odkaz:
http://arxiv.org/abs/2303.12839
Autor:
Zoufal, Christa, Mishmash, Ryan V., Sharma, Nitin, Kumar, Niraj, Sheshadri, Aashish, Deshmukh, Amol, Ibrahim, Noelle, Gacon, Julien, Woerner, Stefan
Publikováno v:
Quantum 7, 909 (2023)
We introduce a variational quantum algorithm to solve unconstrained black box binary optimization problems, i.e., problems in which the objective function is given as black box. This is in contrast to the typical setting of quantum algorithms for opt
Externí odkaz:
http://arxiv.org/abs/2205.03045
Autor:
Weidenfeller, Johannes, Valor, Lucia C., Gacon, Julien, Tornow, Caroline, Bello, Luciano, Woerner, Stefan, Egger, Daniel J.
Publikováno v:
Quantum 6, 870 (2022)
Quantum computers may provide good solutions to combinatorial optimization problems by leveraging the Quantum Approximate Optimization Algorithm (QAOA). The QAOA is often presented as an algorithm for noisy hardware. However, hardware constraints lim
Externí odkaz:
http://arxiv.org/abs/2202.03459
Publikováno v:
Quantum 5, 567 (2021)
The Quantum Fisher Information matrix (QFIM) is a central metric in promising algorithms, such as Quantum Natural Gradient Descent and Variational Quantum Imaginary Time Evolution. Computing the full QFIM for a model with $d$ parameters, however, is
Externí odkaz:
http://arxiv.org/abs/2103.09232
Autor:
Jones, Tyson, Gacon, Julien
Calculating the energy gradient in parameter space has become an almost ubiquitous subroutine of variational near-term quantum algorithms. "Faithful" classical emulation of this subroutine mimics its quantum evaluation, and scales as O(P^2) gate oper
Externí odkaz:
http://arxiv.org/abs/2009.02823
Publikováno v:
2020 IEEE International Conference on Quantum Computing and Engineering (QCE), Denver, CO, USA, 2020, pp. 47-55
In this paper, we introduce a quantum-enhanced algorithm for simulation-based optimization. Simulation-based optimization seeks to optimize an objective function that is computationally expensive to evaluate exactly, and thus, is approximated via sim
Externí odkaz:
http://arxiv.org/abs/2005.10780