Quantum Computing in Next-Gen Smart Grid Operations: A Comprehensive Review

arXiv:2609.18847 · eess.SY, cs.SY · Submitted 2026-09-16 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-09-16

Updated: 2026-09-16

Code: https://github.com/qBraid/qBraid

Project page: https://nvidia.github.io/cuda-quantum/latest/index.html

Terminology

• Accuracy — 91× in this paper · explained in 1 episode
• Quantum Annealing — 30× in this paper
• Robustness — 27× in this paper · explained in 5 episodes
• Digital Twin — 19× in this paper · explained in 4 episodes
• Quantum Circuits — 18× in this paper · explained in 2 episodes
• Combinatorial Optimization — 16× in this paper · explained in 2 episodes
• Reinforcement Learning — 15× in this paper · explained in 4 episodes
• Fidelity — 13× in this paper · explained in 2 episodes
• Benchmarking — 12× in this paper · explained in 3 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Federated Learning — 9× in this paper · explained in 14 episodes
• Clustering — 8× in this paper · explained in 2 episodes
• Entanglement — 8× in this paper · explained in 3 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Abstraction — 7× in this paper · explained in 1 episode
• Communication Overhead — 6× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• Feature Extraction — 6× in this paper · explained in 2 episodes
• Generalization — 6× in this paper · explained in 13 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Electric Aircraft Technologies Symposium — 5× in this paper
• Hybrid Architectures — 5× in this paper · explained in 3 episodes
• Quantum Phase Estimation — 5× in this paper
• Uncertainty Quantification — 5× in this paper · explained in 8 episodes
• Aggregation — 4× in this paper · explained in 1 episode
• North American Power Symposium — 4× in this paper
• QUBO Formulation — 4× in this paper · explained in 3 episodes
• Quantum Amplitude Estimation — 4× in this paper
• Quantum Approximate Optimization Algorithm — 4× in this paper
• Adaptability — 3× in this paper · explained in 1 episode
• Adversarial Attacks — 3× in this paper · explained in 1 episode
• Conference on Quantum Computing and Engineering — 3× in this paper
• Loss Function — 3× in this paper · explained in 2 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Predictive Maintenance — 3× in this paper · explained in 2 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Ancillary Qubits — 2× in this paper · explained in 1 episode
• Bayesian Framework — 2× in this paper · explained in 3 episodes
• Binary Quadratic Model — 2× in this paper
• Computational overhead — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Curse of Dimensionality — 2× in this paper · explained in 6 episodes
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Hybrid Models — 2× in this paper · explained in 2 episodes
• IEEE Texas Power and Energy Conference — 2× in this paper
• Parameter Efficiency — 2× in this paper · explained in 3 episodes
• Post-Selection — 2× in this paper · explained in 2 episodes
• Recurrent Neural Network — 2× in this paper
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adiabatic Evolution — 1× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Agent Architectures — 1× in this paper · explained in 1 episode
• Agent-based modeling — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Closed-Loop Control — 1× in this paper · explained in 3 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Differentially Private — 1× in this paper · explained in 3 episodes
• Dynamic Modeling — 1× in this paper · explained in 3 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• IEEE Industry Applications Society Annual Meeting — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Lindblad Dynamics — 1× in this paper · explained in 2 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Physics-Informed Constraints — 1× in this paper · explained in 2 episodes
• Quantum Annealing (QA) — 1× in this paper · explained in 2 episodes
• Quantum Physics — 1× in this paper · explained in 10 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Spectral Gap — 1× in this paper · explained in 5 episodes
• System Identification — 1× in this paper · explained in 3 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• VQC-based Gated Recurrent Unit — 1× in this paper
• Verification — 1× in this paper · explained in 2 episodes

Sources

• A Quantum Approximate Optimization Algorithm
• Quantum Amplitude Amplification and Estimation
• Quantum computing with Qiskit
• Simulations of Quantum Circuits with Approximate Noise using qsim and Cirq
• A Practical Quantum Instruction Set Architecture
• PennyLane: Automatic differentiation of hybrid quantum-classical computations
• TensorFlow Quantum: A Software Framework for Quantum Machine Learning
• Simulating Quantum Computers Using OpenCL
• Qrisp: A Framework for Compilable High-Level Programming of Gate-Based Quantum Computers
• Quantum-Powered Optimization for Electric Vehicle Charging Infrastructure Deployment
• A Quantum Optimization Algorithm for Optimal Electric Vehicle Charging Station Placement for Intercity Trips
• Quantum-Embedded Dynamic Security Control using Hybrid Deep Reinforcement Learning
• Quantum algorithms for N-1 security in power grids
• Quantum Amplitude Estimation for Probabilistic Methods in Power Systems
• Quantum Machine Learning for Secondary Frequency Control
• Matrix Low-dimensional Qubit Casting Based Quantum Electromagnetic Transient Network Simulation Program
• QUPID: A Partitioned Quantum Neural Network for Anomaly Detection in Smart Grid
• Quantum Machine Learning Approaches for Coordinated Stealth Attack Detection in Distributed Generation Systems
• Machine Failure Detection Based on Projected Quantum Models
• Quantum Fourier Transform Based Kernel for Solar Irrandiance Forecasting

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