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Quantum computing is an emerging field on the multidisciplinary interface between physics, engineering, and computer science with the potential to make a large impact on computational intelligence (CI). The aim of this paper is to introduce quantum a
Externí odkaz:
http://arxiv.org/abs/2407.07202
Autor:
Bärtschi, Andreas, Caravelli, Francesco, Coffrin, Carleton, Colina, Jonhas, Eidenbenz, Stephan, Jayakumar, Abhijith, Lawrence, Scott, Lee, Minseong, Lokhov, Andrey Y., Mishra, Avanish, Misra, Sidhant, Morrell, Zachary, Mughal, Zain, Neill, Duff, Piryatinski, Andrei, Scheie, Allen, Vuffray, Marc, Zhang, Yu
The emergence of quantum computing technology over the last decade indicates the potential for a transformational impact in the study of quantum mechanical systems. It is natural to presume that such computing technologies would be valuable to large
Externí odkaz:
http://arxiv.org/abs/2406.06625
Autor:
Aktar, Shamminuj, Bärtschi, Andreas, Oyen, Diane, Eidenbenz, Stephan, Badawy, Abdel-Hameed A.
Parameterized quantum circuits (PQCs) are fundamental to quantum machine learning (QML), quantum optimization, and variational quantum algorithms (VQAs). The expressibility of PQCs is a measure that determines their capability to harness the full pot
Externí odkaz:
http://arxiv.org/abs/2405.08100
Publikováno v:
21st ACM International Conference on Computing Frontiers CF'24, pages 199-206, May 2024
The Quantum Alternating Operator Ansatz (QAOA) is a prominent variational quantum algorithm for solving combinatorial optimization problems. Its effectiveness depends on identifying input parameters that yield high-quality solutions. However, underst
Externí odkaz:
http://arxiv.org/abs/2402.10188
Autor:
Keller, Christo Meriwether, Eidenbenz, Stephan, Bärtschi, Andreas, O'Malley, Daniel, Golden, John, Misra, Satyajayant
Publikováno v:
ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024
Quantum computing is an emerging topic in engineering that promises to enhance supercomputing using fundamental physics. In the near term, the best candidate algorithms for achieving this advantage are variational quantum algorithms (VQAs). We design
Externí odkaz:
http://arxiv.org/abs/2312.15048
We introduce JuliQAOA, a simulation package specifically built for the Quantum Alternating Operator Ansatz (QAOA). JuliQAOA does not require a circuit-level description of QAOA problems, or another package to simulate such circuits, instead relying o
Externí odkaz:
http://arxiv.org/abs/2312.06451
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
Publikováno v:
npj Quantum Information 2024
We show through numerical simulation that the Quantum Approximate Optimization Algorithm (QAOA) for higher-order, random-coefficient, heavy-hex compatible spin glass Ising models has strong parameter concentration across problem sizes from $16$ up to
Externí odkaz:
http://arxiv.org/abs/2312.00997
Autor:
Barron, Samantha V., Egger, Daniel J., Pelofske, Elijah, Bärtschi, Andreas, Eidenbenz, Stephan, Lehmkuehler, Matthis, Woerner, Stefan
Publikováno v:
Nature Computational Science (2024)
In this paper, we explore the impact of noise on quantum computing, particularly focusing on the challenges when sampling bit strings from noisy quantum computers as well as the implications for optimization and machine learning applications. We form
Externí odkaz:
http://arxiv.org/abs/2312.00733
Recently, a Hamiltonian dynamics simulation was performed on a kicked ferromagnetic 2D transverse field Ising model with a connectivity graph native to the 127 qubit heavy-hex IBM Quantum architecture using ZNE quantum error mitigation. We demonstrat
Externí odkaz:
http://arxiv.org/abs/2311.01657