Scientific Computing
Explore quantum approaches to complex scientific and computational problems.
Solutions
Turning quantum technology capabilities into practical applications.
Application Areas
Explore quantum approaches to complex scientific and computational problems.
Develop quantum-enabled approaches for molecular simulation, materials exploration, and related R&D workflows.
Evaluate quantum and hybrid approaches to complex optimization problems involving large solution spaces and constraints.
Explore hybrid quantum-classical approaches for selected machine learning and computational workloads.
Apply photonic and quantum technologies to emerging sensing and measurement challenges.
Integrate emerging quantum technologies into engineering workflows and specialized computational environments.
Apply quantum-safe security, photonic transport, sensing, and quantum-inspired optimization to future networks.
Explore 6GApply quantum and photonic sensing, navigation, and optimization to machines that perceive and act.
Explore Physical AISolution Lifecycle
Identify business, scientific or engineering problems where emerging quantum technologies may provide relevant value.
Translate the problem into a quantum-compatible formulation, objectives, constraints and measurable outcomes.
Build the application using established quantum software, simulation and hardware ecosystems.
Connect the quantum application with existing customer systems, workflows and data environments.
Improve the application for the target execution environment and end-use requirements.
Validate performance and compare against appropriate established approaches.
Package the validated solution for practical use, further development or deployment.
Customer Journey
Business Outcomes
Tell us about the problem, application or technology opportunity you are exploring.