物流

Classiq empowers 3PLs and carriers with scalable quantum software development—powerful efficient quantum programs for route optimization, fleet management, and warehouse operations.

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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

Route Optimization

Model the network, not the circuitry
Define locations, vehicle capacities, time windows, and traffic constraints in Classiq’s Python-like DSL. You express the cost function, distance, fuel, CO₂, plus rules such as driver hours; Classiq handles the low level quantum coding.

You select the algorithm, Classiq optimizes the implementation
Select the most suitable combinatorial-optimization algorithm, most teams start with QAOA or a hybrid VQE/QUBO approach. Classiq’s synthesis engine then auto-builds an optimized hardware-aware circuit, swapping in the lowest-depth adders, mixers, and encoders to meet qubit, depth, and accuracy targets.

Deliver value on today’s NISQ devices
Hardware-aware compilation tailors each circuit to real-world noise and connectivity, squeezing near-optimal routes from limited qubit budgets, often surpassing classical heuristics for dense, highly constrained fleets.

One-click future migration
As larger or quieter processors appear, simply resynthesize. Your high-level routing model recompiles for the new gate set, protecting earlier development work and avoiding vendor lock-in.

Warehouse Slotting Layout

Efficient warehouse slotting is a classic combinatorial optimization problem. As order volumes, SKUs, and layout constraints increase, finding optimal layouts becomes computationally intensive for classical methods.

A quantum computing proof-of-concept (PoC) in warehouse slotting explores how quantum optimization algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) can tackle large, constraint-heavy slotting challenges more effectively.
The application typically involves formulating the slotting problem as a Quadratic Unconstrained Binary Optimization (QUBO) model that reflects product affinities, picking frequencies, and zone constraints. Quantum solvers are then used to identify layouts that reduce travel time and improve throughput.

By benchmarking quantum results against traditional heuristics, the PoC explores the extent to which quantum-enhanced approaches can unlock performance gains in real-world warehouse environments.

Quantum Applications For Logistics

Supply Chain Optimization

Multi‑-echelon inventory and routing
Quantum software applications cut cost and emissions
Scenario planning for disruptions

Fleet Management

Dynamic vehicle assignment and rebalancing
Optimized quantum circuits solve large‑scale VRPs
Reduce idle time and fuel use

Warehouse Logistics

Picker routing and slotting optimization
Powerful efficient quantum programs outperform heuristics
Integrates with major WMS vendors

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.

Explore Quantum Finance Applications

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