Port of Singapore Authority and IBM Explore Quantum Optimization for Smart Ports
September 21, 2020
Singapore’s Maritime Hub Turns to Quantum
Singapore’s status as a global maritime superhub is unquestioned — its port processes over 37 million TEUs annually, with plans to scale further as Tuas Port phases in through 2040. But in 2020, the Port of Singapore Authority (PSA) faced pandemic disruptions, rising intermodal complexity, and space constraints. Seeking novel approaches, PSA joined forces with IBM Research in September 2020 to investigate quantum computing’s potential to solve deeply entangled scheduling and capacity allocation challenges.
Announced internally during a joint technology strategy session, the initiative aimed to model and simulate complex port operations using IBM’s Qiskit framework, with particular attention to dynamic optimization under uncertainty — one of quantum’s most promising domains.
While quantum computing remained largely experimental, PSA’s proactive engagement signaled a significant move by the shipping industry to explore early adoption of next-generation logistics technologies.
The Optimization Problem in Smart Ports
A large port like Singapore juggles thousands of interrelated variables daily, such as:
Berth allocation across dozens of piers
Crane assignment and movement coordination
Yard space availability vs. container dwell times
Dynamic intermodal transfers to road and rail
Vessel ETAs affected by global disruptions
These processes form a massively complex constraint satisfaction and optimization problem, traditionally handled with a mix of heuristics, simulations, and machine learning. But such methods hit scalability and responsiveness limits as volumes grow.
IBM and PSA sought to understand whether quantum algorithms — specifically variational quantum eigensolvers (VQEs) and quantum approximate optimization algorithms (QAOA) — could offer faster or more adaptable solutions than classical solvers.
IBM Research Brings Quantum Expertise
IBM had, by 2020, positioned itself as a leading provider of quantum computing frameworks for industry. Its cloud-based IBM Quantum Experience platform gave developers access to 5–65 qubit processors, and its open-source Qiskit SDK enabled quantum circuit programming with Python.
For the PSA trials, IBM Research Asia-Pacific focused on simulating hybrid quantum-classical workflows using Qiskit, without directly running on hardware due to hardware size and noise limitations. Instead, the goal was to:
Model berth allocation and crane assignment as a binary optimization problem.
Simulate QAOA performance against known benchmark datasets from PSA’s past 3 years of operations.
Identify scenarios where quantum performance may surpass classical algorithms as quantum scale increases.
Initial findings were promising: even at small problem sizes, QAOA produced competitive — sometimes superior — solutions to traditional heuristics, especially when faced with unpredictable vessel arrivals and equipment delays.
Global Implications for Maritime Quantum Adoption
Singapore’s exploration of quantum logistics in its port sector was not occurring in isolation. By Q3 2020, several governments and logistics operators had begun exploring maritime quantum technologies:
Port of Rotterdam had funded a simulation project with QuTech and Delft University focused on quantum-safe communications for port networks.
China Merchants Port Group had announced a new AI-plus-quantum research group targeting container sequencing and digital twin modeling.
Panama Canal Authority explored quantum-inspired methods for vessel slot auctions and water flow optimization amid climate-driven variability.
PSA’s partnership with IBM therefore aligned with a global shift toward digitized, data-rich, and optimization-driven port infrastructure, with quantum playing a key role in pushing those capabilities forward.
Smart Port Use Cases for Quantum
While PSA’s 2020 experiments focused on berth planning and crane assignment, industry experts have identified a wide range of potential quantum use cases for maritime logistics:
Intermodal dispatching: Real-time scheduling of trucks, rail, and barge transfers from port to hinterland
Dynamic pricing of storage space: Auction-based pricing models for container dwell times
Port congestion forecasting: Quantum-enhanced machine learning models to predict bottlenecks days in advance
Resilient supply chain planning: Simulation of disruption scenarios (e.g., strikes, weather) with stochastic optimization
PSA indicated plans to expand its trials into these areas during the next phase, as quantum hardware and software improved.
Challenges to Real-World Quantum Deployment
Despite the early momentum, PSA and IBM Research were candid about current limitations:
Hardware constraints: Available quantum processors in 2020 had low qubit counts (<100) and high noise rates, making real-world data modeling unfeasible at scale.
Talent scarcity: Programming in Qiskit or other quantum SDKs requires specialized training — far from standard in logistics or engineering departments.
Lack of integration with port management systems (PMS): Existing PMSs at PSA are heavily customized, and quantum tools are still experimental and siloed.
However, by using quantum simulators and emulators on classical supercomputers, PSA avoided direct dependency on near-term quantum hardware — choosing instead to build algorithmic intuition for the future.
PSA’s Strategic Positioning
Singapore’s government and PSA are well-known for long-horizon strategic planning. PSA’s Smart Port initiative was launched years prior, with IoT-enabled cranes, AI planning tools, and digital twins already deployed across terminals.
Quantum exploration fit neatly into that trajectory. By investing now in quantum skill-building, modeling capability, and partnerships, PSA positioned itself to capitalize as quantum computing crosses over from lab to operations.
In a September 21 internal briefing, PSA CTO Ong Kim Pong said:
“Quantum logistics is not a science fiction concept. It is the next frontier of optimization. And as with every frontier, early scouting makes all the difference.”
Conclusion: Quantum Docks at the World's Busiest Port
The PSA–IBM collaboration in September 2020 may not have transformed operations overnight. But it marked a critical step toward maritime quantum preparedness — planting seeds for smarter, faster, and more adaptive logistics systems in the world’s busiest port.
As global supply chains stretch and digitize, ports like Singapore’s will become quantum testbeds by necessity. And in that future, PSA’s early investments in modeling complex berth dynamics with quantum tools may pay off in faster turnarounds, lower costs, and greater resilience when the next global disruption arrives.