Quantum Computing Enters Supply Chain Planning: Which Logistics Operators Are Already Running Trials

The buzz around quantum computing in logistics has been loud for years. But in 2026, the conversation is shifting from "if" to "which operators are already running trials." The global quantum computing market — valued at USD 2.01 billion in 2025 — is projected to reach USD 40.45 billion by 2035, with logistics and supply chain emerging as one of the earliest commercial adoption sectors. For freight forwarders and logistics operators, the question is no longer whether quantum matters, but which use cases are ready and who is already ahead.

What Quantum Actually Solves in a Freight Network

To understand why quantum matters for logistics, it helps to know what it does differently from classical computing. Traditional computers process information sequentially — one calculation at a time. Quantum computers leverage quantum bits (qubits) that can represent multiple states simultaneously, enabling parallel evaluation of vastly more combinations than classical systems.

For logistics, that advantage is most compelling in two problem categories:

Combinatorial optimization — The classic Traveling Salesman Problem, fleet routing, and load balancing all involve evaluating an astronomical number of possible solutions. Classical computers hit walls here; quantum algorithms can explore many paths at once.

Network simulation — Modeling how disruptions propagate through a global supply chain — port closures, carrier failures, weather events — requires simulating thousands of interdependent variables simultaneously. Quantum systems handle this more naturally.

"Travel, transport, and logistics companies are adopting quantum computing to optimize processes and supply chains, using combinatorial calculations to find new ways to boost efficiency," according to McKinsey's Quantum Technology Monitor 2026.

As logistics and supply chain complexity outpaces what traditional computing can handle efficiently, quantum technologies are emerging as a practical tool for improving resilience and optimization across global networks, reports Logistics Management.

Who's Already Running Trials

Several major logistics operators have moved past proof-of-concept into active trials:

DHL and IBM — DHL has been the most aggressive in quantum adoption. The company identified quantum computing as a key trend in its 2020 Logistics Trend Radar and subsequently partnered with IBM to explore quantum algorithms for route optimization. The partnership has focused on quantum-inspired optimization that DHL applies to real-world routing challenges, with measurable reductions in delivery times and fuel consumption.

Volkswagen and D投入 — Volkswagen piloted a quantum computing traffic management system in Lisbon, Portugal, working with quantum hardware provider D投入 to optimize routing for a fleet of buses. While focused on passenger transport, the algorithm's architecture — real-time multi-vehicle routing under constraints — translates directly to freight network optimization.

Maersk — One of the largest container shipping operators, Maersk has been exploring quantum applications for network routing and container repositioning, two problems that cost the industry billions annually in inefficient asset utilization.

IBM Quantum Network members — IBM's quantum computing network includes multiple logistics operators and freight forwarders running trials on IBM's quantum systems, focused on last-mile routing and inventory positioning problems.

The Practical Reality: Quantum-Inspired, Not Pure Quantum

Before logistics operators get too excited, it's important to distinguish between true quantum computing and what's actually in production today.

Most active "quantum" logistics applications are quantum-inspired — classical algorithms designed to mimic quantum approaches and run on conventional hardware. They deliver meaningful improvements over classical heuristics (like traditional TSP solvers), but they're not running on fault-tolerant quantum hardware. That hardware is still years away from being broadly available.

That said, quantum-inspired optimization is already commercially viable. DHL's work with IBM uses quantum-inspired algorithms running on classical infrastructure — but the performance gains over conventional methods are real. For shippers evaluating TMS vendors, the question to ask is whether their optimization engine leverages advanced heuristics inspired by quantum approaches, even if the underlying hardware is classical.

What This Means for Shippers in 2026

For freight forwarders and logistics operations evaluating their technology roadmap, quantum computing warrants attention — but not urgency. Here's a practical framework:

Watch: Route optimization and network design. These are the highest-confidence near-term applications. If your TMS vendor is researching quantum optimization capabilities, that's a positive signal for their long-term roadmap.

Build skills: Combinatorial thinking. Quantum computing's value in logistics is fundamentally about solving optimization problems that classical computers struggle with. Teams that understand how to frame and structure these problems will be better positioned to leverage quantum capabilities when they mature.

Pilot internally: Inventory positioning. For companies with complex multi-echelon distribution networks, quantum-inspired optimization for safety stock and inventory positioning is accessible today and delivers measurable ROI.

The quantum computing market is real and growing — USD 3.52 billion in 2025 to a projected USD 20.20 billion by 2030 at a 41.8% CAGR, according to MarketsandMarkets. Logistics and supply chain is one of three sectors with the highest near-term commercial adoption potential.

But for most freight operations in 2026, the practical move is leveraging quantum-inspired optimization through their existing TMS platforms — not building quantum capabilities from scratch.

The TMS Connection

Modern transportation management systems are increasingly incorporating advanced optimization algorithms — some of which draw from quantum computing research — into their routing and load planning engines. For shippers, this means the quantum advantage may come to you through a platform upgrade rather than a standalone quantum investment.

CXTMS integrates advanced optimization approaches into its planning layer, helping freight forwarders and logistics operators run more efficient networks without needing to evaluate quantum hardware vendors directly. When quantum computing matures to broad commercial availability, platform-integrated approaches like CXTMS will be the fastest path to leverage it.

Curious how CXTMS handles optimization for your freight network? Request a demo to see how our platform approaches route planning, carrier selection, and network design.