Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Zhiyan Ding"'
Publikováno v:
Quantum, Vol 8, p 1487 (2024)
Quantum phase estimation is one of the most powerful quantum primitives. This work proposes a new approach for the problem of multiple eigenvalue estimation: Quantum Multiple Eigenvalue Gaussian filtered Search (QMEGS). QMEGS leverages the Hadamard t
Externí odkaz:
https://doaj.org/article/8251340056d84b0382f2695177dde89c
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p 033147 (2024)
We design a quantum algorithm for ground state preparation in the early fault tolerant regime. As a Monte Carlo style quantum algorithm, our method features a Lindbladian where the target state is stationary. The construction of this Lindbladian is a
Externí odkaz:
https://doaj.org/article/b5eade2929c544e7a72e55b1f94088e2
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p 033029 (2024)
Variational quantum algorithms rely on the optimization of parameterized quantum circuits in noisy settings. The commonly used back-propagation procedure in classical machine learning is not directly applicable in this setting due to the collapse of
Externí odkaz:
https://doaj.org/article/7a6e047f2d574c9ab8b36e38491fe1c1
Autor:
Zhiyan Ding, Lin Lin
Publikováno v:
Quantum, Vol 7, p 1136 (2023)
We introduce a multi-modal, multi-level quantum complex exponential least squares (MM-QCELS) method to simultaneously estimate multiple eigenvalues of a quantum Hamiltonian on early fault-tolerant quantum computers. Our theoretical analysis demonstra
Externí odkaz:
https://doaj.org/article/b0475bd249fa4195890a4099b7a2337b
Autor:
Lei Wang, Yaxin Liu, Wenqing Yan, Caihong Huang, Zhiyan Ding, Jiajia Yang, Shuwan Jiang, Lei Sun
Publikováno v:
American Journal of Men's Health, Vol 16 (2022)
The tRNA-derived fragments (tRFs) are a new class of regulatory noncoding RNAs and have different biological functions in cancer. This article investigated the expression and clinicopathological significance of tRF-Glu-TTC-2 in prostate carcinoma (PC
Externí odkaz:
https://doaj.org/article/4446840c72b24a7886b08c3c6fba1e46
Autor:
Zhiyan Ding, Lin Lin
Publikováno v:
PRX Quantum, Vol 4, Iss 2, p 020331 (2023)
We develop a phase-estimation method with a distinct feature: its maximal run time (which determines the circuit depth) is δ/ϵ, where ϵ is the target precision, and the preconstant δ can be arbitrarily close to 0 as the initial state approaches t
Externí odkaz:
https://doaj.org/article/dce876c197184b999000ecccd1ffb901
Autor:
Zhiyan Ding, Li, Qin
Publikováno v:
Foundations of Data Science; Mar2022, Vol. 4 Issue 1, p37-70, 34p
Publikováno v:
Quarterly of Applied Mathematics. 79:229-264
We present a local sensitivity analysis in Landau damping for the kinetic Kuramoto equation with random inputs. The kinetic Kuramoto equation governs the temporal-phase dynamics of the one-oscillator distribution function for an infinite ensemble of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bee490e7e696aebea4be3e8175fe2eb4
https://doi.org/10.1090/qam/1578
https://doi.org/10.1090/qam/1578
Publikováno v:
SIAM Journal on Imaging Sciences; 2023, Vol. 16 Issue 1, p111-143, 33p
Autor:
Shi Jin, Zhiyan Ding
Publikováno v:
International Journal for Uncertainty Quantification. 9:123-142
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::441be8278e3f4966d62e298abcffc421
https://doi.org/10.1615/int.j.uncertaintyquantification.2019026936
https://doi.org/10.1615/int.j.uncertaintyquantification.2019026936