QuantERA Call 2025 Partner Search Tool

General Information

• Project title: Q-BALANCE: Quantum‑Enhanced Forecasting to Cut Grid Imbalance Costs and Emissions
• Type: Project looking for partner
• Organisation: LTIMindtree
• Country: Netherlands (NL)

Research area

• Call topics:
  • Applied Quantum Science
• Keywords:

  Quantum Machine Learning Forecast Optimization Energy Grid Balancing Quantum Neural Networks Applied Quantum Computing

• Brief description of your expertise / expertise you are looking for:

  We specialize in Quantum Machine Learning (QML) and hybrid AI approaches for predictive modeling in complex systems. Our expertise lies in applying quantum-enhanced algorithms to real-world problems, including ones in energy and utilities. Partners we seek: 1) Academic Quantum labs, research groups, orgs with expertise in Quantum-Classical Neural Networks, Error mitigation techniques etc.

• Brief description of your project / the project you would like to join:

  Quantum-Enhanced Grid Forecasting for Lower Imbalance Costs & Greener Power We aim to develop quantum-enhanced forecasting tools that improve accuracy for load and renewable generation predictions, reducing grid imbalances and associated costs. The project combines hybrid AI and quantum models, integrates with balancing market mechanisms Better forecasts mean fewer carbon-intensive reserve activations, higher renewable utilization, and more stable consumer tariffs. This aligns with QuantERA’s goal of translating quantum science into practical applications and supports EU efforts for cross-border grid coordination and sustainability.

Amogh

• Organisation: LTIMindtree
• Position: Apsingekar
• E-mail: amogh.apsingekar@ltimindtree.com
• Phone: +31611607545
• Web: ltimindtree.com