43,208 research outputs found
Quantum-Enhanced Simulation-Based Optimization
In this paper, we introduce a quantum-enhanced algorithm for simulation-based
optimization. Simulation-based optimization seeks to optimize an objective
function that is computationally expensive to evaluate exactly, and thus, is
approximated via simulation. Quantum Amplitude Estimation (QAE) can achieve a
quadratic speed-up over classical Monte Carlo simulation. Hence, in many cases,
it can achieve a speed-up for simulation-based optimization as well. Combining
QAE with ideas from quantum optimization, we show how this can be used not only
for continuous but also for discrete optimization problems. Furthermore, the
algorithm is demonstrated on illustrative problems such as portfolio
optimization with a Value at Risk constraint and inventory management.Comment: 9 pages, 9 figure
CQICO and multiobjective thermal optimization for high-speed PM generator
This paper proposes a novel Continuous Quantum Immune Clonal Optimization (CQICO) algorithm for thermal optimization on an 117kW high speed permanent magnet generator (HSPMG). The proposed algorithm mixes the Quantum Computation into the Immune Cloning Algorithm and causes better population diversity, higher global searching ability, and faster convergence which approved by simulation results. Then, the improved algorithm is applied to seek an optimized slot groove and improve HSPMG thermal performance, in which the 3-D fluid-thermal coupling analyses are processed with a multi-objective optimal group composed of the highest temperature and the temperature difference. Both the proposed algorithm and the obtained conclusions are of significances in the design and optimization of the cooling system in electric machines
Pulse Width Modulation for Speeding Up Quantum Optimal Control Design
This paper focuses on accelerating quantum optimal control design for complex
quantum systems. Based on our previous work [{arXiv:1607.04054}], we combine
Pulse Width Modulation (PWM) and gradient descent algorithm into solving
quantum optimal control problems, which shows distinct improvement of
computational efficiency in various cases. To further apply this algorithm to
potential experiments, we also propose the smooth realization of the optimized
control solution, e.g. using Gaussian pulse train to replace rectangular
pulses. Based on the experimental data of the D-Norleucine molecule, we
numerically find optimal control functions in -qubit and -qubit systems,
and demonstrate its efficiency advantage compared with basic GRAPE algorithm
- …