Global logistics is undergoing a transformation marked by digitalization, artificial intelligence, and automation. In this context, quantum computing emerges as a disruptive promise: a technology capable of solving complex optimization, simulation, and prediction problems much faster than classical computers. Yet in 2025 the big question remains: are we facing an imminent revolution in logistics or merely a “hype” that still needs time to mature?
What is Quantum Computing?
Quantum computing uses the principles of quantum mechanics to process information in a radically different way than classical systems. While a traditional bit can have only two states (0 or 1), qubits can exist in superposition, representing multiple states simultaneously. This enables the exploration of solutions to extremely complex problems in parallel, accelerating calculations that would take years on current systems.
https://ignasisayol.com/en/quantum-computing/
In the logistics field, this capability translates into the potential to solve combinatorial optimization problems (such as routing, inventories, or resource allocation) that are currently prohibitive in time and cost.
But what is quantum computing? (Grover’s Algorithm) –
Areas of Application in Logistics
Although we are still far from mass adoption, laboratories and technology companies are already exploring how to apply quantum computing in critical sectors. In logistics, five main areas stand out:
- Route Optimization
Transport route planning is a classic and complex problem. With multiple variables (distances, times, traffic, fuel costs, emissions), current systems offer approximate solutions. A quantum computer could find solutions closer to the global optimum, reducing costs and delivery times. - Inventory Management
Global supply chains require balancing availability with reduced storage costs. Quantum computing promises to improve demand prediction models and dynamically optimize inventories, especially in volatile contexts. - Scenario Simulation
In the face of disruptions such as pandemics, geopolitical blockages, or extreme climate events, the ability to rapidly simulate multiple scenarios is key. Quantum algorithms could enable more resilient responses, reducing vulnerabilities in the supply chain. - Fleet and Resource Optimization
Allocating vehicles, containers, warehouses, and personnel is a constant operational challenge. With qubits, companies could calculate thousands of possible combinations in seconds and adapt resources to real-time demand.
In this sense, the real-world application of the Physical Internet, which aims to optimize the global flow of goods, will only be possible once quantum computing is available.
https://ignasisayol.com/en/physical-internet-integrated-technologies-towards-universal-logistics/
- Sustainability and Carbon Footprint Reduction
In a sector pressured by ESG objectives, quantum computing could help minimize emissions by designing more efficient, less polluting logistics networks.
The Current State in 2025: Progress and Limitations
In 2025, quantum computing is still in an experimental and pre-commercial phase. Companies such as IBM, Google, IonQ, or D-Wave have developed processors with dozens or hundreds of qubits, but they still present instability and noise issues that limit their practical capabilities.
Nevertheless, collaborations between the logistics sector and technology companies are already underway:
- DHL participates in pilot projects to optimize air and maritime routes using hybrid quantum algorithms.
- UPS has explored dynamic management of distribution networks with partners specializing in quantum software.
- Volkswagen, although not strictly logistics, has conducted tests to optimize urban traffic, pointing to possible last-mile transport applications.
These examples show that the industry does not ignore the opportunity, even though it is still in the proof-of-concept phase.
Quantum Computing 2025 Update –
Hype vs. Reality
It is important to separate technological promise from marketing. Many headlines suggest that quantum computing “will revolutionize everything in a few years,” but the reality is more nuanced:
- Hype: There are still no commercial quantum computers consistently outperforming classical supercomputers in large-scale logistics problems.
- Reality: The development of hybrid quantum algorithms (combining classical and quantum computing) already offers promising results in route optimization and resource management.
In 2025, quantum computing should be understood more as a future laboratory than as a mass operational tool. However, its progress curve is exponential: global investment in research is estimated at more than 30 billion USD, and collaboration between logistics and technology companies is intensifying.
Challenges for Adoption in Logistics
Before quantum computing becomes an everyday tool for logistics operators, several challenges must be overcome:
- Technological scalability: Current quantum computers do not yet reach the stability and number of qubits required for complex logistics problems.
- Economic accessibility: Quantum infrastructure is expensive and, for now, accessible only via cloud computing through major providers.
- Shortage of specialized talent: Integrating quantum algorithms requires professionals trained in physics, mathematics, and logistics—still a rare profile.
- Interoperability with existing systems: Quantum platforms must integrate with ERP, TMS, or WMS software that already run supply chains.
- Regulatory and security maturity: Logistics data is sensitive, and there is still no clarity on how to ensure its protection in quantum environments. What is becoming clear, given the investments made, is that post-quantum encryption will be the technology enabling such protection.
What is Post-Quantum Cryptography?
What Should Logistics Companies Do in 2025?
Even though quantum computing is not yet an operational tool, companies in the sector can start preparing:
- Monitor the ecosystem: Keep a close eye on technological developments and participate in sector pilots.
- Collaborate with providers: Work with universities, startups, and technology firms to explore specific use cases.
- Develop talent: Invest in training teams in the fundamentals of quantum computing applied to logistics.
- Explore hybrid algorithms: Adopt solutions that combine the best of classical and quantum computing.
- Define an innovation strategy: Include quantum computing in medium- and long-term digital transformation agendas.
How Amazon Plans To Catch Google And Microsoft In The Quantum Computing Race –
Outlook
Looking toward 2030, quantum computers are expected to achieve practical supremacy in specific logistics problems, clearly surpassing classical systems. When that happens, companies that have invested early in experiments will be better positioned to capitalize on the competitive advantage.
Moreover, the combination of quantum computing with artificial intelligence and blockchain promises to open unprecedented scenarios: autonomous, transparent, and ultra-optimized supply chains.
In 2025, quantum computing in logistics is still in an exploratory phase. It is not yet a tool that immediately transforms daily operations, but it is not mere smoke either: its first applications show enormous potential to solve the sector’s most complex problems.
The question is not whether quantum computing will impact logistics, but when and to what extent. For companies seeking resilience and competitiveness in an increasingly uncertain world, the answer lies in staying alert, exploring pilot use cases, and preparing for a future where quantum technology will move from promise to reality.
