Results 61 to 70 of about 322,484 (286)

Quantum Algorithms for Mixed Binary Optimization Applied to Transaction Settlement

open access: yesIEEE Transactions on Quantum Engineering, 2021
In this article, we extend variational quantum optimization algorithms for quadratic unconstrained binary optimization problems to the class of mixed binary optimization problems.
Lee Braine   +3 more
doaj   +1 more source

An Integrated Programming and Development Environment for Adiabatic Quantum Optimization

open access: yes, 2014
Adiabatic quantum computing is a promising route to the computational power afforded by quantum information processing. The recent availability of adiabatic hardware has raised challenging questions about how to evaluate adiabatic quantum optimization ...
Bennink, Ryan S.   +7 more
core   +1 more source

Similarity-based parameter transferability in the quantum approximate optimization algorithm

open access: yesFrontiers in Quantum Science and Technology, 2023
The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization.
Alexey Galda   +10 more
doaj   +1 more source

Achieving robust and high-fidelity quantum control via spectral phase optimization

open access: yes, 2017
Achieving high-fidelity control of quantum systems is of fundamental importance in physics, chemistry and quantum information sciences. However, the successful implementation of a high-fidelity quantum control scheme also requires robustness against ...
Dong, Daoyi, Guo, Yu, Shu, Chuan-Cun
core   +1 more source

Efficiency of quantum versus classical annealing in non-convex learning problems

open access: yes, 2017
Quantum annealers aim at solving non-convex optimization problems by exploiting cooperative tunneling effects to escape local minima. The underlying idea consists in designing a classical energy function whose ground states are the sought optimal ...
Baldassi, Carlo, Zecchina, Riccardo
core   +1 more source

Quantum Discord for Generalized Bloch Sphere States [PDF]

open access: yes, 2013
In this study for particular states of bipartite quantum system in 2n?2m dimensional Hilbert space state, similar to m or n-qubit density matrices represented in Bloch sphere we call them generalized Bloch sphere states(GBSS), we give an efficient ...
Jafarizadeh, M. A.   +2 more
core   +1 more source

Quantum Annealing: from Viewpoints of Statistical Physics, Condensed Matter Physics, and Computational Physics

open access: yes, 2012
In this paper, we review some features of quantum annealing and related topics from viewpoints of statistical physics, condensed matter physics, and computational physics.
Tamura, Ryo, Tanaka, Shu
core   +1 more source

NON-HERMITIAN ADIABATIC QUANTUM OPTIMIZATION [PDF]

open access: yesInternational Journal of Quantum Information, 2009
We propose a novel non-Hermitian adiabatic quantum optimization algorithm. One of the new ideas is to use a non-Hermitian auxiliary "initial" Hamiltonian that provides an effective level repulsion for the main Hamiltonian. This effect enables us to develop an adiabatic theory which determines ground state much more efficiently than Hermitian methods.
Berman, Gennady P.   +1 more
openaire   +3 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 more
wiley   +1 more source

Quantum annealing with Jarzynski equality

open access: yes, 2010
We show a practical application of the Jarzynski equality in quantum computation. Its implementation may open a way to solve combinatorial optimization problems, minimization of a real single-valued function, cost function, with many arguments.
A. K. Hartmann   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy