Logistics and Shipping Quantum Pilots: Telefonica and Wurth, DHL, Maersk and the Hype
Why logistics is a favorite pitch
Routing trucks, loading boxes and scheduling ships are optimization problems, and optimization is the commonest "quantum will help" story. It is also where classical computers are already excellent. A fair summary: the problems are real, the classical competition is brutal, and quantum evidence is thin. The general case is in energy grid and logistics use cases; here we look at named pilots.
Telefonica and Wurth: packaging in Agoncillo
A Telefonica press release dated 23 July 2026 describes a pilot at Wurth Espana's logistics center in Agoncillo (La Rioja), carried out with TECNALIA and QCentroid at Telefonica's quantum technologies center in Bilbao. It used a hybrid mix of quantum, classical and AI algorithms to decide how products are packed into boxes. Reported results: packaging efficiency improved for 14% of the more than 6,000 orders processed; about 3% fewer boxes used; about 7% less truck transport volume; more than 6% less cardboard.
What to make of it? Good signs: a real warehouse, a real order volume, and numbers. Cautions, all noted from the release itself: it is a promotional press release; no quantum hardware or qubit count is named; no baseline, time period or method for measuring is given; the pilot covered only a single site; and the release does not say whether the quantum piece, rather than the classical or AI parts, produced the gains. The release also calls the work one of the first industrial quantum use cases, which is a claim, not a measurement. In plain terms: nice evidence that hybrid methods can help packing, little evidence that quantum is the reason.
DHL, FedEx and the 12 to 20% claim
A Crypto Briefing analysis dated 26 July 2026 examines the claim that FedEx and DHL already save 12 to 20% on fuel with quantum routing. It says FedEx's quantum work targets warehouse layout, not truck routing, and that none of the published results cite a fuel-savings percentage. It says a DHL pilot with Groovenauts and Honeywell reported an estimated 60% cut in carbon emissions, which is a different measure from fuel use. It also notes that FedEx's non-quantum dynamic routing reportedly delivers 10 to 15% fuel and labor savings, and concludes no large-scale quantum routing deployment confirms the 12 to 20% figure as of mid-2026. We cannot verify the analysis against DHL's own documents, but its logic is sensible. Search summaries also mention a Berlin DHL pilot with 25 trucks and a 12% distance cut using a D-Wave quantum-inspired method, from a podcast summary we could not trace to a primary source. Treat it as unverified and do not repeat it as fact.
Maersk, CMA CGM and ports
For shipping lines, the honest answer is announcements without results. A trade article summarized in our search says Maersk began exploring quantum simulations after the 2021 Suez blockage, with no measured outcome. A search summary says CMA CGM announced a partnership with Pasqal; we found no results from it. Port logistics is a listed planned use case for the Aramco and Pasqal 200-qubit machine launched on 19 May 2026 (The Quantum Insider), but the article reports no results (Aramco and Pasqal). A Toppan and Sigma-i annealing pilot for vehicle assignment and delivery planning exists in Japan, though we did not read its details.
Why quantum struggles here
- Strong baselines. Classical solvers handle huge routing problems well. Beating them requires a fair, equal-effort comparison.
- Data loading. Real logistics data is big and messy (the loading problem).
- Hybrid blur. When a pipeline mixes AI, classical and quantum steps, credit is hard to assign.
- Machine limits. Annealers and noisy gate machines handle limited problem sizes (annealing vs gate).
Evidence ladder
| Claim | Source type | Verdict |
|---|---|---|
| Telefonica and Wurth packaging | Press release with numbers | Plausible, unverified, quantum share unclear |
| DHL with Groovenauts and Honeywell, 60% emissions | Cited in analysis | Not a fuel figure |
| FedEx and DHL 12 to 20% fuel savings | Origin unknown | Unsupported per analysis |
| Maersk, CMA CGM | Announcements | No results |
What to watch
Ask three questions of any logistics claim: what was the classical baseline, how big was the problem, and could the same result be reached without the quantum step? A pilot that answers all three, ideally by a third party, would be big news. Education only, not financial advice. The QNT memecoin is independent of Quantinuum Ltd and of every logistics company named here, and no part of this page predicts any asset price.
Sources and further reading
- Telefonica: Telefonica and Wurth use quantum computing in logistics packaging (23 Jul 2026)
- Crypto Briefing: Quantum routing for logistics, the 12 to 20% fuel savings claim needs context (26 Jul 2026)
- The Quantum Insider: Aramco and Pasqal launch (19 May 2026)
- AJOT: Toppan and Sigma-i logistics pilot, search summary only
Reported as of 2026-10-09. Most figures come from company or vendor announcements and were not independently verified. Nothing here is financial advice or a price view on any asset. The QNT memecoin is independent of Quantinuum Ltd, the real company, and of every company, lab and agency named on this page.
Frequently asked questions
Is quantum computing already saving shipping companies fuel?
One July 2026 analysis found no large-scale quantum routing deployment confirming claimed 12 to 20% fuel savings, and said the origin of that range is unclear.
What did the Telefonica and Wurth pilot report?
A July 2026 company release reports about 3% fewer boxes, about 7% less truck volume and over 6% less cardboard on 14% of more than 6,000 orders, with no baseline or hardware detail given.
Has Maersk run a quantum pilot with results?
We found only exploration and announcements, with no measured results.
Keep reading
- Quantum for the Power Grid and Logistics: Promising Pilots, Early Evidence
Unit commitment, vehicle sequencing and bus routing are real quantum pilots. Here is what IonQ and Oak Ridge, Ford Otosan and Volkswagen reported, and what is still unproven. - Annealing vs Gate Model for Optimization: Which Quantum Approach Helps Real Businesses?
D-Wave style quantum annealers and gate-model machines from IBM, IonQ and Quantinuum aim at optimization differently. Here is what each does, what the benchmarks say, and how to stay fair. - The Data Loading Problem: Quantum Computing's Fine Print for AI
Why getting big classical data into a quantum computer can erase a speedup, and what Scott Aaronson's fine print means for quantum machine learning. - Quantum Computing Myths and Misconceptions
Common quantum computing myths, from 'it tries every answer at once' to 'Bitcoin breaks tomorrow'. Learn what is true, what is hype and what is still uncertain.
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