Quantum devices can be used to solve constrained combinatorial optimization (COPT) problems thanks to the use of penalization methods to embed the COPT problem's …
L Zeng, J Zhang, M Sarovar - Journal of Physics A: Mathematical …, 2016 - iopscience.iop.org
Adiabatic quantum computing and optimization have garnered much attention recently as possible models for achieving a quantum advantage over classical approaches to …
A Mandal, KLC Hunt - The Journal of Chemical Physics, 2018 - pubs.aip.org
For a quantum system subject to a time-dependent perturbing field, Dirac's analysis gives the probability of transition to an excited state| k⟩ in terms of the norm square of the entire …
Nonlinear discrete optimization problems arise in many different disciplines, given the modeling versatility associated with nonlinear constraints and discrete decision variables. In …
Nonlinear discrete optimization problems arise in many different disciplines, given the modeling versatility associated with nonlinear constraints and discrete decision variables. In …
The evaluation of the performance of adiabatic annealers is hindered by the lack of efficient algorithms for simulating their behaviour. We exploit the analyticity of the standard model for …
L Zeng, J Zhang, M Sarovar - arXiv preprint arXiv:1505.00209, 2015 - arxiv.org
Adiabatic quantum computing and optimization have garnered much attention recently as possible models for achieving a quantum advantage over classical approaches to …
YT Ding - International Journal of Theoretical Physics, 2014 - Springer
In this paper, we deal with the adiabatic approximation of general Hamiltonians by splitting it into two parts, with one part a Hamiltonian that has at least one time-independent eigenstate …
S Suhadi - Jurnal Ilmu Fisika dan …, 2018 - openrecruitment.radenfatah.ac.id
Telah dilakukan perhitungan secara analitik ulang algoritma Grover pada komputasi kuantum untuk pencarian data dalam suatu basis data. Selain itu, dengan hasil juga …