Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zhou, Cunlu"'
Understanding and approximating extremal energy states of local Hamiltonians is a central problem in quantum physics and complexity theory. Recent work has focused on developing approximation algorithms for local Hamiltonians, and in particular the `
Externí odkaz:
http://arxiv.org/abs/2307.15688
As a signal recovery algorithm, compressed sensing is particularly useful when the data has low-complexity and samples are rare, which matches perfectly with the task of quantum phase estimation (QPE). In this work we present a new Heisenberg-limited
Externí odkaz:
http://arxiv.org/abs/2306.07008
Variational quantum algorithms (VQAs), which classically optimize a parametrized quantum circuit to solve a computational task, promise to advance our understanding of quantum many-body systems and improve machine learning algorithms using near-term
Externí odkaz:
http://arxiv.org/abs/2111.08035
Autor:
Wiersema, Roeland, Zhou, Cunlu, de Sereville, Yvette, Carrasquilla, Juan Felipe, Kim, Yong Baek, Yuen, Henry
Publikováno v:
PRX Quantum 1, 020319 (2020)
Quantum variational algorithms are one of the most promising applications of near-term quantum computers; however, recent studies have demonstrated that unless the variational quantum circuits are configured in a problem-specific manner, optimization
Externí odkaz:
http://arxiv.org/abs/2008.02941
Autor:
Faybusovich, Leonid, Zhou, Cunlu
We consider some important computational aspects of the long-step path-following algorithm developed in our previous work and show that a broad class of complicated optimization problems arising in quantum information theory can be solved using this
Externí odkaz:
http://arxiv.org/abs/1906.00037
The minimum pseudoweight is an important parameter related to the decoding performance of LDPC codes with iterative message-passing decoding. In this paper, we consider ensembles of periodically time-varying spatially coupled LDPC (SC-LDPC) codes and
Externí odkaz:
http://arxiv.org/abs/1809.04253
Autor:
Faybusovich, Leonid ⁎, Zhou, Cunlu
Publikováno v:
In Applied Mathematics and Computation 15 June 2020 375
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Faybusovich, Leonid1 (AUTHOR) leonid.faybusovich.1@nd.edu, Zhou, Cunlu1 (AUTHOR) zhou.43@nd.edu
Publikováno v:
Computational Optimization & Applications. Apr2019, Vol. 72 Issue 3, p769-795. 27p.