[HTML][HTML] Nonadiabatic landau–zener–stückelberg–majorana transitions, dynamics, and interference

V Ivakhnenko, SN Shevchenko, F Nori - Physics Reports, 2023 - Elsevier
Since the pioneering works by Landau, Zener, Stückelberg, and Majorana (LZSM), it has
been known that driving a quantum two-level system results in tunneling between its states …

Characterization of QUBO reformulations for the maximum k-colorable subgraph problem

R Quintero, D Bernal, T Terlaky, LF Zuluaga - Quantum Information …, 2022 - Springer
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 …

Schedule path optimization for adiabatic quantum computing and optimization

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 …

[HTML][HTML] Nonadiabatic transition probabilities in a time-dependent Gaussian pulse or plateau pulse: Toward experimental tests of the differences from Dirac's transition …

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 …

Modern Computational Approaches to Nonlinear Discrete Optimization and Applications in Process Systems Engineering

D Bernal Neira - 2021 - kilthub.cmu.edu
Nonlinear discrete optimization problems arise in many different disciplines, given the
modeling versatility associated with nonlinear constraints and discrete decision variables. In …

Modern Computational Approaches to Nonlinear Discrete Optimization and Applications in Process Systems Engineering

DEB Neira - 2021 - search.proquest.com
Nonlinear discrete optimization problems arise in many different disciplines, given the
modeling versatility associated with nonlinear constraints and discrete decision variables. In …

Recursive simulation of quantum annealing

AP Sowa, MJ Everitt, JH Samson… - Journal of Physics A …, 2015 - iopscience.iop.org
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 …

Schedule path optimization for quantum annealing and adiabatic quantum computing

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 …

Analysis of adiabatic approximation using stable Hamiltonian method

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 …

Perhitungan Analitik Algoritma Grover

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 …