Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Challenges and opportunities in quantum optimization
Quantum computers have demonstrable ability to solve problems at a scale beyond brute-
force classical simulation. Interest in quantum algorithms has developed in many areas …
force classical simulation. Interest in quantum algorithms has developed in many areas …
Shortcuts to adiabaticity: Concepts, methods, and applications
Shortcuts to adiabaticity (STA) are fast routes to the final results of slow, adiabatic changes
of the controlling parameters of a system. The shortcuts are designed by a set of analytical …
of the controlling parameters of a system. The shortcuts are designed by a set of analytical …
Quantum optimization: Potential, challenges, and the path forward
Recent advances in quantum computers are demonstrating the ability to solve problems at a
scale beyond brute force classical simulation. As such, a widespread interest in quantum …
scale beyond brute force classical simulation. As such, a widespread interest in quantum …
[ספר][B] The Jaynes–Cummings model and its descendants: modern research directions
J Larson, T Mavrogordatos - 2021 - iopscience.iop.org
The Jaynes–Cummings Model (JCM) has recently been receiving increased attention as
one of the simplest, yet intricately nonlinear, models of quantum physics. Emphasising the …
one of the simplest, yet intricately nonlinear, models of quantum physics. Emphasising the …
Perspectives of quantum annealing: Methods and implementations
Quantum annealing is a computing paradigm that has the ambitious goal of efficiently
solving large-scale combinatorial optimization problems of practical importance. However …
solving large-scale combinatorial optimization problems of practical importance. However …
Shortcuts to adiabaticity in Krylov space
Shortcuts to adiabaticity provide fast protocols for quantum state preparation in which the
use of auxiliary counterdiabatic controls circumvents the requirement of slow driving in …
use of auxiliary counterdiabatic controls circumvents the requirement of slow driving in …
Digitized-counterdiabatic quantum approximate optimization algorithm
The quantum approximate optimization algorithm (QAOA) has proved to be an effective
classical-quantum algorithm serving multiple purposes, from solving combinatorial …
classical-quantum algorithm serving multiple purposes, from solving combinatorial …
Reinforcement learning in different phases of quantum control
The ability to prepare a physical system in a desired quantum state is central to many areas
of physics such as nuclear magnetic resonance, cold atoms, and quantum computing. Yet …
of physics such as nuclear magnetic resonance, cold atoms, and quantum computing. Yet …
Shortcuts to adiabaticity for the quantum Rabi model: Efficient generation of giant entangled cat states via parametric amplification
We propose a method for the fast generation of nonclassical ground states of the Rabi
model in the ultrastrong and deep-strong coupling regimes via the shortcuts-to-adiabatic …
model in the ultrastrong and deep-strong coupling regimes via the shortcuts-to-adiabatic …
Geometry and non-adiabatic response in quantum and classical systems
In these lecture notes, partly based on a course taught at the Karpacz Winter School in
March 2014, we explore the close connections between non-adiabatic response of a system …
March 2014, we explore the close connections between non-adiabatic response of a system …