[HTML][HTML] Quantum computation in power systems: An overview of recent advances
Quantum mechanics (QM) can be understood as a set of rules that forms the basis for
developing all quantum theories. One of these theories is quantum computation (QC), ie …
developing all quantum theories. One of these theories is quantum computation (QC), ie …
Quantum computing for smart grid applications
Computational complexities in modern power systems are reportedly increasing daily, and it
is anticipated that traditional computers might be inadequate to provide the computation …
is anticipated that traditional computers might be inadequate to provide the computation …
Annealing-based quantum computing for combinatorial optimal power flow
T Morstyn - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
This paper proposes the use of annealing-based quantum computing for solving
combinatorial optimal power flow problems. Quantum annealers provide a physical …
combinatorial optimal power flow problems. Quantum annealers provide a physical …
Coordinated post-disaster restoration for resilient urban distribution systems: A hybrid quantum-classical approach
Incorporating multiple resilient resources into coordinated post-disaster restoration (CPR)
strategy contributes positively to resilience enhancement of power distribution systems …
strategy contributes positively to resilience enhancement of power distribution systems …
Analysis of quantum machine learning algorithms in noisy channels for classification tasks in the iot extreme environment
SK Satpathy, V Vibhu, BK Behera… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
By 2050, there will be a 50% rise in energy demand, and existing natural and renewable
resources will be under extreme scrutiny. Optimizing current power generation and …
resources will be under extreme scrutiny. Optimizing current power generation and …
Novel resolution of unit commitment problems through quantum surrogate Lagrangian relaxation
Unit commitment (UC) problems faced by Independent System Operators on a daily basis
are becoming increasingly complex due to the recent push for renewables and the …
are becoming increasingly complex due to the recent push for renewables and the …
Hybrid quantum-classical computing for future network optimization
Future communication networks will require increased flexibility, scalability, and data
computation capabilities to adequately respond to the growing number of service demands …
computation capabilities to adequately respond to the growing number of service demands …
Quantum computing in power systems
Electric power systems provide the backbone of modern industrial societies. Enabling
scalable grid analytics is the keystone to successfully operating large transmission and …
scalable grid analytics is the keystone to successfully operating large transmission and …
[HTML][HTML] Hybrid quantum-classical multi-cut benders approach with a power system application
NG Paterakis - Computers & Chemical Engineering, 2023 - Elsevier
Leveraging the current generation of quantum devices to solve optimization problems of
practical interest necessitates the development of hybrid quantum-classical (HQC) solution …
practical interest necessitates the development of hybrid quantum-classical (HQC) solution …
[HTML][HTML] Quantum neural networks for power flow analysis
This paper explores the potential application of quantum and hybrid quantum–classical
neural networks in power flow analysis. Experiments are conducted using two datasets …
neural networks in power flow analysis. Experiments are conducted using two datasets …