Einride brings quantum computing to autonomous freight ops
Quantum computing could reduce travel times by 15%
Einride, an autonomous trucking technology provider and EV freight company, is optimizing its business with quantum computing.
The global autonomous trucking industry is projected to more than quadruple to $1.5 trillion in 2034 from $356.9 billion in 2024, according to Global Market Insights. The U.S. market has made significant strides in 2025, with financing models and a federal framework coming into focus.
Stockholm-based Einride’s partnership with quantum computing provider IonQ, formed this year, is beginning to bear fruit. Einride is integrating the tech with SAGA, its AI-powered fleet management platform, Chief Technology Officer Henrik Green told Equipment Finance News.
Using advanced computing methods for scheduling and allocating shipments helps “optimize the whole logistics system,” which is a strategic focus for the company, he added.
Quantum computing allows for the exploration of many solutions at the same time to solve complex problems.
“A conventional computer does not have the power to fully, deterministically find the proven optimum,” Green said. “That sparked the idea to see if we can use quantum to further push these boundaries and increase efficiency and reduce cost.”
Best use cases
Einride has evaluated 15 use cases for quantum computing, including shipment scheduling, safety enhancement, navigation and energy trading, according to a recent company release.
The company concluded that the technology is especially well-suited for shipment scheduling and allocation, Green said, noting the potential to minimize downtime and improve utilization of trucks, drivers and charging infrastructure.
These applications have major implications for the industry overall because poor utilization rates are among the main pain points facing carriers, Green said.
“A truck standing still or driving empty loads is a loss of capital, basically. … Charging assets are also capital-intense investments, and how do we utilize that to the maximum?”
— Henrik Green, CTO, Einride
Further highlighting these use cases, vehicle manufacturer Volkswagen’s logistics customers have seen a 15% reduction in travel times and 10% decrease in fuel consumption because of its quantum-computing initiatives, according to supply chains consulting and technology firm Axidio.
Einride also plans to explore the use of quantum computing for enhancing self-driving capabilities, Green said.
Financing impact
Quantum computing is poised to reshape collateral-based lending industries like equipment finance due to its ability to “identify optimal asset allocations,” according to a Nov. 21 report by research and consulting firm McKinsey and Co.
Optimizing asset allocation is crucial as financial institutions work to “reduce costs, manage risk and boost liquidity.”
“Unlike traditional approaches, quantum algorithms can efficiently handle the complex constraints involved in deploying collateralized assets,” McKinsey writes.
Other effective quantum-computing applications in financial services, according to hardware and software provider QuEra Computing, include:
- Data analysis;
- Credit scoring;
- Asset valuation; and
- Fraud detection.
Risk management and asset valuation are especially important when financing autonomous trucks and other tech-heavy machines due to residual value uncertainty.
Ultimately, nearly “all key areas and processes in banking could be affected” by quantum technology, Alexandra V. Mousavizadeh, co-founder and chief executive of fintech solutions provider Evident Insights, told FinAI News, a sister publication of EFN.
These processes range from “encryption techniques that are vital to security and fraud prevention, to market simulations that could support the creation of portfolios and trading,” she said.
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