APPLICATIONS

250+ Early Quantum Applications

The D-Wave quantum computer leverages quantum dynamics to accelerate and enable new methods for solving complex problems. Our customers are building quantum applications for a broad spectrum of industries and use cases such as logistics, financial services, drug discovery, materials sciences, scheduling, fault detection, mobility, and supply chain management. Learn more about today’s quantum computing use cases below.

Featured Applications

  • Application

    Paint Shop Optimization with Quantum Annealing

    Application
    Paint Shop Optimization with Quantum Annealing

    In this talk we present a short overview of recent quantum applications in VW. Using the Quantum Shuttle project as motivation, we show how to construct live quantum optimization services for production applications. Specifically, we showcase a new application—the multi-car paint shop problem—and provide a live demo of this optimization system with real-world data.

    INDUSTRY : Manufacturing & Logistics
    DISCIPLINE : Optimization
  • Application

    Designing Peptide Therapeutics on a Quantum Computer

    Application
    Designing Peptide Therapeutics on a Quantum Computer

    Peptides are mid-size molecules composed of amino acids and constitute some of nature's best drugs. Designing these mid-size molecules computationally remains a challenge due to the astronomical search space and complex energy dynamics. Here, we explore how quantum annealing and hybrid approaches may offer a new alternative toolkit for designing peptide therapeutics that could hold the key to groundbreaking new drugs.

    INDUSTRY : Life Sciences
    DISCIPLINE : Optimization
  • Application

    Creating Sustainable Cities through Waste Collection Optimization

    Application
    Creating Sustainable Cities through Waste Collection Optimization

    Groovenauts and Mitsubishi Estate used a D-Wave system to optimize truck routes for waste collection, reducing total distance traveled from 2,300 km to just 1,000 km. As a result, CO2 emissions would be reduced by approximately 57%, and the number of vehicles reduced by approximately 59%.

    INDUSTRY : Transportation
    DISCIPLINE : Optimization