Quantum Computing for Grid Engineers
This five-day program is designed for power systems professionals who want to understand and apply quantum computing to real grid problems. Starting with quantum fundamentals, participants progress through optimization algorithms, power system formulations, and hands-on work with the QuantumGridOS platform. Includes access to IBM Quantum hardware for running actual quantum circuits.
Curriculum
What You'll Learn
Quantum Computing Fundamentals
- Qubits, superposition, entanglement
- Quantum gates and circuits
- Qiskit and Cirq basics
Optimization on Quantum Hardware
- QAOA and VQE algorithms
- Combinatorial optimization
- Quantum annealing vs gate-based
Quantum for Power Systems
- Optimal power flow formulation
- Unit commitment problems
- Grid stability analysis
QuantumGridOS Platform
- Architecture and design principles
- Hybrid classical-quantum workflows
- Benchmarking against classical solvers
Hands-on Lab
- Building a quantum power flow solver
- Running on IBM Quantum / simulators
- Performance analysis and interpretation
Audience
Who Should Attend
Power systems engineers
Utility planning analysts
Research teams exploring quantum applications
CTOs evaluating quantum readiness
Delivery Format
Format
5-day in-person program.
Prerequisites
Linear algebra, basic power systems knowledge.
What's Included
IBM Quantum access, QuantumGridOS sandbox, certificate.
Instructor
Dr. Sayonsom Chanda
Founder, SARAL
Former researcher at NREL and Idaho National Lab. R&D 100 Award recipient. Leads SARAL's research across Energy, AI, Quantum, and Robotics.