航空宇宙・防衛

Enterprise-grade quantum software development for mission-critical design, air fleet asset routing and real-time adaptations according to dynamic settings.

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Our Clients

Our clients trust Classiq to enable their quantum initiatives, upskill their workforce, and deploy efficient quantum programs

Case Studies

Quantum‑Enhanced CFD Simulation With Rolls Royce

Computational Fluid Dynamics (CFD) is essential to aerospace engineering, where accurate modeling of airflow, turbulence, and heat transfer is critical to designing efficient, safe propulsion systems. However, CFD simulations are computationally intensive, especially when modeling turbulent flows or solving large-scale Navier-Stokes equations with high resolution.

In collaboration with Rolls-Royce, Classiq explored how quantum computing could support next-generation CFD workflows. The project focused on translating key elements of fluid dynamics simulation into quantum circuits, with particular attention to linear solvers and system discretization techniques that appear in CFD formulations.

The project evaluated how quantum subroutines such as Hamiltonian simulation or quantum linear system solvers (e.g. HHL), might accelerate core computations in high-fidelity aerothermal simulations. The work assessed the feasibility of integrating quantum techniques into future hybrid classical-quantum pipelines.

This effort is pioneering advanced simulation capabilities and positions quantum computing as a potential enabler of faster design cycles and improved modeling accuracy in aerospace R&D.

Satellite Tasking Optimization

This complex combinatorial optimization problem is one place where classical methods can struggle to scale as the number of satellites and tasking priorities increase.
A quantum computing proof-of-concept (PoC) in satellite tasking explores how quantum algorithms, such as the Quantum Approximate Optimization Algorithm (QAOA), can help identify optimal or near-optimal task schedules more efficiently. These schedules must balance competing objectives: maximizing coverage, minimizing conflicts, and adhering to strict operational constraints.

In practice, the PoC may involve modeling real or simulated tasking scenarios, translating them into quadratic unconstrained binary optimization (QUBO) problems, and executing quantum-classical hybrid algorithms on hardware. The goal is to compare quantum performance against classical heuristics and assess feasibility.

Quantum Applications For Aerospace & Defense

Computational Fluid Dynamics

CFD deals with heavy, and complex numerical simulations of fluid and gas phenomena.
Used in many industrial applications, CFD is key to improving advanced equipment design.
Leveraging HHL - a quantum algorithms that solve a system of linear equations.
Leads fo faster and more accurate computation

Supply Chain Optimization

Optimization of complex systems with ever-changing environments with strict parameters
Leveraging Quantum Approximate Optimization Algorithms (QAOA).
Better resilience, responsiveness, and cost efficiency of the chain.Rapidly adapt to disruptions and changes.

Drone and UAV Operations Optimization

Type of Vehicle Routing Problem (VRP), which seeks to determine the most efficient set of routes for a vehicle fleet.
Leveraging the Quantum Approximate Optimization Algorithm (QAOA) to better explorecomplex and large-scale delivery scenarios

Enable Your Quantum Initiatives

Quantum Team Building

If you and your team are getting started with quantum computer programming, Classiq’s hands-on quantum training program is built for technical professionals

You’ll begin with a focused introduction to quantum computing fundamentals: qubits, quantum gates, and circuit models.
Next, you’ll explore key quantum algorithms such as QAOA, VQE, and Grover’s, with an emphasis on practical implementation.
The core of the training is onboarding to the Classiq platform, where you’ll learn high-level quantum algorithm development, resource-aware quantum circuit design, and hardware-aware optimization.

This program equips developers, engineers, and researchers with the skills to build scalable quantum applications from day one.

Quantum Use-Case Implementation

Classiq’s Use-Case Scoping and Implementation Program is designed to guide teams through the full lifecycle of quantum application development. Whether you're exploring quantum for the first time or scaling an R&D initiative, our experts work closely with you to identify high-impact quantum use cases, define algorithmic approaches, and map requirements to current hardware capabilities.

From initial use-case selection to algorithm synthesis and execution on quantum processors, the program is tailored to your project’s complexity and your team’s quantum maturity. It's a practical, results-driven pathway to developing and deploying real-world quantum solutions with clarity, speed, and technical confidence.

Advanced Quantum Application Development

Classiq’s Advanced Quantum Application Development offering is designed for teams looking to elevate their quantum work into scalable, future-ready solutions. This offering supports the development of complex quantum circuits using Classiq’s high-level synthesis platform, enabling modular, optimized, and hardware-agnostic quantum algorithm design. It’s ideal for organizations aiming to turn their quantum initiatives into long-term assets, reusable components, or proprietary IP.

Whether refining advanced algorithms like QAOA or VQE, or preparing applications for next-gen quantum hardware, this offering helps teams industrialize their quantum development and ensure their work is robust, efficient, and strategically aligned with long-term R&D goals.

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航空宇宙・防衛

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