Port of Rotterdam Pilots Quantum Algorithms to Manage Container Traffic with Delft Quantum Institute

Europe’s Busiest Port Eyes Quantum Optimization

The Port of Rotterdam, Europe’s largest seaport, has embarked on a pioneering pilot to integrate quantum computing into its operational decision-making. In collaboration with the Delft Quantum Institute (DQI), the initiative explores how quantum algorithms can address one of the industry’s most pressing challenges: dynamic container traffic management.

With more than 14 million TEUs (twenty-foot equivalent units) processed annually, the Port of Rotterdam is at the center of Europe’s trade network. Its terminals handle some of the world’s most complex container flows, involving hundreds of shipping lines, truck operators, rail providers, and customs authorities. Yet congestion, volatile arrival schedules, and mounting sustainability targets strain conventional planning systems. The pilot with DQI represents an effort to push beyond these limitations by applying quantum-enhanced optimization techniques to vessel scheduling, crane allocation, and multimodal coordination.

Project Goals and Scope

The pilot is designed to demonstrate measurable operational improvements by applying quantum optimization in live port environments. Key goals include:

• Minimizing vessel idle time by creating smarter berth allocation and offloading schedules, reducing waiting ships outside port gates.

• Improving crane scheduling to better balance workloads across container terminals, particularly during peak congestion.

• Increasing throughput efficiency by aligning truck and rail availability with dynamically shifting ship arrival times.

The initial testing ground is Maasvlakte II, Rotterdam’s most technologically advanced container terminal. This location provides both high-density traffic and advanced digital systems—ideal conditions for experimenting with quantum optimization.

Partnership Breakdown

The collaboration combines Rotterdam’s operational expertise with DQI’s research capabilities and industry software partners.

• Port of Rotterdam Authority: Supplies operational datasets, berth allocation rules, and performance KPIs to validate optimization outcomes.

• Delft Quantum Institute (DQI): Contributes algorithm design, quantum modeling, and expertise in combinatorial optimization, including Quantum Approximate Optimization Algorithms (QAOA) and quantum-inspired annealing frameworks.

• Industry Integrators: Port software partners like PortXchange and Navis provide the integration layer, ensuring quantum-generated outputs can feed directly into Terminal Operating Systems (TOS) and Port Community Systems (PCS).

This ecosystem ensures that research remains aligned with real-world requirements, not just theoretical modeling.

Why Quantum for Ports?

Port operations represent a prime case study for quantum optimization due to their inherent complexity. Every decision—assigning a berth, dispatching cranes, sequencing trucks—involves thousands of constraints, many of them shifting in real time.

Traditional scheduling systems often rely on heuristics or rule-based approaches, which can quickly become inefficient during disruptions such as late vessel arrivals, labor shortages, or equipment breakdowns. Quantum optimization offers the ability to explore vastly larger solution spaces and adapt dynamically to changing variables.

Quantum systems excel at multi-agent coordination problems, which are fundamental in logistics hubs like Rotterdam, where competing stakeholders—shipping lines, terminal operators, customs authorities, and hinterland carriers—must all be balanced.

Technical Methodology

The pilot applies a four-stage technical workflow:

1. Data Collection
   Real-time inputs such as vessel estimated time of arrival (ETA), crane availability, labor rosters, and throughput targets are fed into hybrid solvers.

2. Problem Formulation
   DQI researchers translate these operational datasets into QUBO (Quadratic Unconstrained Binary Optimization) and Job Shop Scheduling models suitable for quantum solvers.

3. Solver Execution
   Quantum-inspired algorithms and QAOA solvers are run through simulated quantum processors and annealing platforms. These solvers generate optimized berth and crane schedules.

4. Integration Testing
   Outputs are benchmarked against conventional methods, evaluating KPIs such as berth utilization, crane idle time, and total container throughput.

Pilot Outcomes: Early Insights

Although the pilot is ongoing, initial tests from mid-2022 yielded encouraging results:

• Berth optimization reduced average vessel waiting times by 6–8%, particularly during peak congestion hours.

• Crane scheduling efficiency improved by approximately 4%, ensuring more balanced workloads.

• Container flow mapping suggested new truck-stacking and sequencing strategies, aligning better with real-time berthing shifts.

While these gains may appear incremental, when scaled across an annual cycle, they translate into millions in cost savings, shorter turnaround times, and reduced greenhouse gas emissions.

Global Maritime Relevance

The Rotterdam pilot places Europe at the forefront of applying quantum computing to maritime logistics. Comparable efforts are emerging worldwide:

• Port of Singapore has collaborated with D-Wave on quantum-inspired container stacking optimization.

• Port of Los Angeles is experimenting with IoT-based berth analytics to improve ship turnaround.

• Hamburg Port Authority has invested heavily in AI-powered digital twins.

What sets Rotterdam apart is its commitment to quantum-native approaches, not just classical heuristics enhanced by AI. This positions the port as a leader in testing how next-generation computation can directly impact supply chain resilience.

Infrastructure Integration Strategy

A key strength of the Rotterdam-DQI project is its emphasis on system interoperability. The quantum optimization module is being designed to plug into existing port systems rather than replace them.

• PortXchange Synchronizer provides the real-time berth planning interface.

• Navis TOS handles crane and yard resource allocation.

• APM Terminal software manages automated guided vehicle (AGV) dispatch and cargo flow monitoring.

Quantum outputs feed into these existing frameworks, offering operators recommendation layers that enhance decision agility.

Challenges and Considerations

Despite promising results, several barriers remain:

• Hardware readiness: Today’s quantum systems lack the qubit count and stability required for full-scale deployment.

• Integration latency: Real-world port operations require sub-minute decision support, which hybrid solvers are only beginning to approach.

• Cost-benefit analysis: Large-scale adoption will depend on demonstrating long-term ROI.

To address these challenges, DQI and the Port Authority are relying on quantum-inspired solutions that emulate quantum techniques on classical infrastructure, bridging the gap until scalable hardware becomes available.

Policy and Ecosystem Impact

The pilot strengthens the Netherlands’ role in the European quantum corridor, linking Delft, Eindhoven, and Amsterdam as hubs for advanced quantum research.

It also supports broader EU initiatives:

• Smart and Green Ports Initiative, targeting emission reductions through efficiency gains.

• NextGenerationEU recovery plan, funding digital infrastructure upgrades.

• Quantum Flagship Program, prioritizing logistics and mobility as key application domains.

By piloting real-world applications, Rotterdam not only advances its own competitiveness but also shapes EU policy direction for quantum logistics.

Looking Ahead: Roadmap and Expansion

The Port of Rotterdam Authority has outlined next steps:

• Expand quantum pilots to additional terminals and inland barge hubs.

• Explore new applications, including AGV path optimization and energy-efficient scheduling.

• Establish a Quantum Logistics Sandbox to allow other European ports and carriers to test modules.

• Advocate for standardized quantum optimization protocols in global maritime logistics.

Conclusion

The June 27, 2022 pilot between the Port of Rotterdam and the Delft Quantum Institute marks a milestone in applying quantum computing to real-world logistics. Early results already indicate measurable improvements in berth scheduling, crane utilization, and container throughput.

As global trade faces growing disruptions—from pandemic aftershocks to geopolitical tensions and climate pressures—the ability to harness advanced computation for resilience and efficiency will be a defining advantage.

By embracing quantum optimization, Rotterdam is not only enhancing its own operational capacity but also shaping the future of global maritime logistics. In doing so, it signals a new era where ports evolve from being physical gateways of commerce to digital-quantum ecosystems, resilient enough to handle the uncertainties of twenty-first-century trade.