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Built with ❤️ by the quantum computing community

    Back to Industries

    Energy

    Applications of quantum computing in energy production, distribution, storage, and optimization of power systems.

    28 Case Studies
    9 Target Roles

    The energy industry faces complex computational challenges throughout generation, transmission, distribution, and consumption processes that impact system efficiency, reliability, and sustainability. Quantum computing offers potential solutions to these challenges through several key applications that address specific computational bottlenecks in the sector.

    Grid optimisation represents a primary application, where quantum algorithms can address complex power flow, transmission capacity, and stability challenges in increasingly distributed energy systems. These optimisation problems involve numerous constraints and competing objectives that quantum approaches may handle more effectively than classical methods. Several utilities have initiated research into quantum solutions for grid management, congestion mitigation, and outage prevention. These are often applications with direct impact on system reliability and cost.

    Energy storage material discovery leverages quantum chemistry algorithms to model novel materials for batteries, hydrogen storage, and other energy storage technologies with greater accuracy than classical approximations. Quantum simulation can potentially accelerate the development of higher-capacity, faster-charging, and more durable energy storage solutions critical for renewable energy integration and grid stability.

    Nuclear fusion simulation applications use quantum computing to model complex plasma behaviour and material interactions in fusion reactors. These simulations require extraordinary computational resources to capture the multi-physics interactions that determine fusion performance and containment system durability. Quantum approaches may enable more accurate simulations that accelerate fusion energy development.

    Renewable energy integration applications address the stochastic nature of wind, solar, and other variable resources through improved forecasting, grid balancing, and virtual power plant optimization. Quantum algorithms offer potential advantages for processing the massive meteorological datasets while optimizing complex multi-source energy systems in real-time.

    Demand forecasting capabilities may benefit from quantum machine learning through improved pattern recognition across complex consumer behaviour, weather impacts, and economic factors. More accurate demand forecasting directly impacts generation planning, energy trading, and grid stability.

    Implementation strategies for energy organisations should focus on identifying specific computational bottlenecks in current operations, developing quantum expertise through targeted use cases, establishing partnerships with quantum technology providers, and creating hybrid quantum-classical approaches that can deliver incremental benefits as quantum hardware capabilities mature.


    Related Case Studies

    IBM and ExxonMobil: Advancing Energy and Materials Science through Quantum Computing

    IBM Quantum and ExxonMobil partnered to explore quantum computing applications for solving complex computational challenges in energy and chemical research. This collaboration focuses on developing quantum algorithms for molecular simulation, materials discovery, and optimization problems critical to the energy sector.

    Quantinuum and Mitsui & Co. evaluate broad quantum utility

    Quantinuum and Mitsui & Co. trading company explore quantum computing potential across a range of its portfolio of activities.

    IBM and ExxonMobil explore maritime logistics optimization

    An early collaboration to explore the use of quantum computing for energy optimization and environmental modelling.

    Atos Quantum and Total: Advancing Energy Sector Optimization Through Quantum Computing

    Atos Quantum partnered with Total to explore quantum computing applications for complex optimization problems in the energy sector. The collaboration focused on leveraging quantum simulation and optimization algorithms to enhance operational efficiency, reduce computational time for molecular simulations, and improve decision-making processes in energy exploration and production.

    Google and Volkswagen advance traffic optimisation and battery research

    Optimising urban traffic flow and simulating advanced battery materials using Google's quantum processors and algorithms.

    IBM and MolTex Energy explore nuclear waste processing

    Exploring quantum computing for optimizing molten salt reactor designs and nuclear waste processing.

    Google Quantum AI and Volkswagen Partnership for Traffic Optimization and Battery Research

    Google Quantum AI and Volkswagen have collaborated on applying quantum computing to optimize traffic flow in urban environments and advance battery material research. This partnership leverages Google's quantum processors and algorithms to address complex optimization problems in automotive and transportation sectors.

    Quantum Computing Collaboration for Energy Sector Optimization

    IBM, Rigetti, and ExxonMobil have partnered to explore quantum computing applications in the energy sector, focusing on molecular simulation, optimization problems, and materials discovery. This collaboration aims to leverage quantum algorithms to solve computationally intensive challenges in petrochemical research and operations.

    IBM and Quantum Network Partnership with U.S. Department of Energy National Laboratories

    IBM Quantum has established strategic partnerships with multiple U.S. Department of Energy (DOE) National Laboratories to advance quantum computing research and applications in critical scientific domains. This collaboration leverages IBM's quantum computing systems and expertise alongside the DOE labs' world-class scientific capabilities to tackle complex challenges in materials science, high-energy physics, and computational chemistry.

    IBM and E.ON explore energy grid optimization

    Applying quantum computing to optimise power flow, energy trading, and maintenance scheduling for complex energy grids.

    IBM and Daimler AG Quantum Computing Partnership for Battery Development and Optimization

    IBM and Daimler AG partnered to explore quantum computing applications in automotive research, focusing on battery chemistry simulation, fleet logistics optimization, and materials science. This collaboration aimed to leverage IBM's quantum computing expertise with Daimler's automotive innovation to solve complex computational challenges in the automotive industry.

    IBM and ExxonMobil Quantum Computing Partnership for Energy and Chemical Research

    IBM and ExxonMobil partnered in 2019 to explore quantum computing applications in energy sector challenges, focusing on molecular simulation, optimization problems, and materials discovery. The collaboration leverages IBM's quantum computing expertise and ExxonMobil's domain knowledge to address complex computational challenges in petrochemicals, carbon capture, and energy optimization.

    IBM and Mercedes-Benz Partnership: Quantum Computing for Automotive Innovation

    IBM and Mercedes-Benz (formerly Daimler) have collaborated since 2018 to explore quantum computing applications in automotive manufacturing, battery research, and logistics optimization. The partnership leverages IBM's quantum computing expertise and Mercedes-Benz's automotive domain knowledge to solve complex optimization problems that are computationally intractable for classical computers.

    ZZZZ QSimulate-Bosch Partnership: Quantum Computing for Materials Discovery and Chemical Simulation

    QSimulate, a quantum software company specializing in chemical simulations, partnered with Bosch to leverage quantum computing for accelerating materials discovery and molecular modeling. This collaboration aims to enhance Bosch's R&D capabilities in developing advanced materials for automotive, industrial, and consumer applications through quantum-enhanced computational chemistry.

    IonQ and Oak Ridge National Laboratory Quantum Computing Access Partnership

    IonQ partnered with Oak Ridge National Laboratory (ORNL) to provide researchers access to trapped-ion quantum computing systems through the Quantum Computing User Program (QCUP). This collaboration enables scientists to explore quantum applications in materials science, chemistry, and high-energy physics while advancing the development of quantum algorithms for scientific discovery.

    IonQ and Oak Ridge National Laboratory: Advancing Quantum Computing for Scientific Research

    IonQ partnered with Oak Ridge National Laboratory (ORNL) to integrate trapped-ion quantum computing systems into one of the world's most advanced scientific computing facilities. This collaboration aims to accelerate quantum computing research and provide researchers with access to cutting-edge quantum hardware for solving complex scientific challenges.

    IQM and Jülich Supercomputing Centre: Advancing European Quantum Computing Infrastructure

    IQM Quantum Computers partnered with Jülich Supercomputing Centre (JSC) to develop and deploy quantum computing systems as part of the Quantum Computing User Infrastructure for Europe (QCUIE) project. This collaboration aims to integrate quantum processors into Europe's leading HPC infrastructure, providing researchers with access to cutting-edge quantum computing resources.

    Microsoft Azure Quantum and Ford: Advancing Automotive Manufacturing through Quantum Computing

    Ford Motor Company partnered with Microsoft Azure Quantum to explore quantum computing applications in automotive manufacturing, focusing on traffic optimization and materials discovery. This collaboration aims to leverage quantum computing's potential to solve complex optimization problems that are computationally intensive for classical computers.

    Microsoft Azure Quantum and DEWA Partnership for Smart Grid Optimization

    Microsoft partnered with Dubai Electricity and Water Authority (DEWA) to explore quantum computing applications for optimizing energy distribution and smart grid management. This collaboration leverages Azure Quantum's cloud-based platform to address complex optimization challenges in utility infrastructure and accelerate DEWA's digital transformation initiatives.

    Pasqal and Aramco Partnership: Quantum Computing for Energy Optimization

    Pasqal, a French quantum computing company specializing in neutral atom technology, partnered with Saudi Aramco to explore quantum computing applications in the energy sector. This collaboration focuses on leveraging quantum algorithms to solve complex optimization problems in oil and gas operations, including network optimization and molecular simulation challenges.

    PsiQuantum and Illinois Quantum And Microelectronics Park: Building America's First Utility-Scale Quantum Computing Facility

    PsiQuantum, a leading quantum computing company focused on building error-corrected quantum computers, partnered with the Illinois Quantum and Microelectronics Park to establish a major quantum computing manufacturing and operations facility in Chicago. This partnership represents a significant milestone in bringing utility-scale quantum computing to the United States, with the goal of deploying million-qubit systems capable of solving commercially relevant problems in pharmaceuticals, materials science, and clean energy.

    QuantX Labs and Australian Government Strategic Quantum Computing Initiative

    QuantX Labs partnered with the Australian Government to develop quantum computing solutions for national security, climate modeling, and healthcare optimization. This collaboration aims to position Australia as a global leader in quantum technology while addressing critical national challenges through advanced computational capabilities.

    QuEra Computing and Massachusetts Government Quantum Computing Partnership for Optimization and Public Services

    QuEra Computing, a Boston-based quantum computing company specializing in neutral atom quantum computers, partnered with Massachusetts state government agencies to explore quantum computing applications in public sector optimization problems. This collaboration aims to leverage QuEra's analog quantum computing capabilities to address complex computational challenges in transportation planning, resource allocation, and public health optimization.

    SandboxAQ and Deloitte Strategic Alliance for Enterprise Quantum and AI Solutions

    SandboxAQ and Deloitte formed a strategic alliance to accelerate enterprise adoption of quantum technologies and AI solutions across multiple industries. The partnership combines SandboxAQ's advanced quantum simulation and AI platforms with Deloitte's global consulting expertise to deliver transformative solutions for complex business challenges.

    Zapata Computing and BP: Quantum Computing for Energy Optimization

    BP partnered with Zapata Computing to explore quantum computing applications in energy sector optimization problems. The collaboration focused on developing quantum algorithms for complex optimization challenges in oil and gas operations, including supply chain management and molecular simulation for materials discovery.

    IBM and Daimler Partnership: Advancing Automotive Innovation through Quantum Computing

    IBM Quantum and Daimler AG partnered to explore quantum computing applications in automotive manufacturing, focusing on battery chemistry optimization, route optimization, and materials science. This collaboration represents one of the earliest and most comprehensive quantum computing partnerships in the automotive industry, demonstrating practical applications of quantum technology in solving complex industrial challenges.

    ZZZ CQC and Honeywell Quantum Solutions: Mer DELETE

    In 2021, Cambridge Quantum Computing (CQC) and Honeywell Quantum Solutions merged to create Quantinuum, combining CQC's quantum software expertise with Honeywell's trapped-ion quantum hardware capabilities. This partnership aimed to accelerate the development of commercial quantum computing applications across multiple industries.

    Pasqal and Saudi Aramco partner for energy sector applications

    Collaborating to harness neutral-atom quantum computing for optimizing energy operations and solving complex challenges in the oil and gas industry.

    Industry Details

    Target Roles

    Software Engineer
    Quantum Algorithm Developer
    Quantum Cloud and Platform Provider
    Quantum Solutions Provider
    Business Decision-Maker
    Systems Integration Engineer
    Quantum Hardware Engineer
    Domain Expert
    Quantum Chemist