Next-Gen Logistics: How Quantum Computing Powers Smoother Shipping and Fewer Delays
Quantum computing is emerging as a transformative tool for logistics, capable of processing complex, real-time datasets that exceed classical computing limits. In this Hammer Down episode, host Mike Bush and Pasqal's Michelle Lampa discuss how quantum systems can optimize shipping routes, forecast disruptions, and integrate with IoT-enabled supply chain infrastructure. They also address current barriers to adoption and how enterprises can begin incorporating quantum technology.
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Key takeaways
Quantum computing can process massive, real-time logistics datasets — including traffic, weather, and inventory — that traditional systems cannot handle efficiently.
Pasqal is already integrating its full-stack quantum approach into enterprise supply chain operations, moving beyond theoretical applications.
Key adoption challenges include cost, technical readiness, and organizational change management, but early integration steps are available to businesses today.
Supply chains are more complex than ever, with companies managing vast networks of suppliers, transportation routes, and inventory systems. Traditional computing methods are reaching their limits, struggling to process massive datasets efficiently. But here, quantum computing can come to the rescue: By integrating live data from IoT-enabled traffic monitoring tools and vehicles, quantum systems have the potential to alter logistics routes based on factors like weather, traffic, and stock availability.
So, can quantum computing solve the supply chain's toughest challenges?
Welcome to Hammer Down. In this episode, host Mike Bush sits down with Michelle Lampa, who leads Business Development at Pasqal, to explore how quantum computing is poised to transform the supply chain landscape. They discuss how Pasqal's full-stack quantum approach is already being integrated into enterprise operations and how businesses can prepare for the future of computation.
The main points of conversation:
- The Basics of Quantum Computing – How it differs from classical computing and why it's critical for solving complex logistical challenges.
- Real-World Applications in Supply Chain – From optimizing shipping routes to forecasting disruptions, quantum computing's role in logistics is rapidly expanding.
- The Future of Quantum Adoption – Current barriers to entry, cost concerns, and how businesses can start integrating quantum into their operations.
Michelle Lampa leads Business Development at Pasqal, a full-stack quantum computing company headquartered in France. With a background in international business, technology, and supply chain management, she has worked across government, private industry, and logistics, including roles at the Massachusetts Port Authority and Wayfair. Her expertise spans strategic partnerships, supply chain optimization, and emerging technologies, making her a key player in advancing quantum applications in logistics and enterprise solutions.
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Hammer Down
Freight, trucking, and logistics told by the people running it.
About the author
Beginning his career by learning how to tell a brand’s story, leveraging marcom to build market share, utilizing PR to get people engaged, and innovating trust-based relationships between products and people, He took on diverse challenges and continually grew. Mike created the first ever SEO practice in Washington DC — generating $10M+ in revenue for 10+ clients. Throughout my career, Mike gained unique experiences such as spearheading marcom for a company after a real-time suicide (incident inspired a Law & Order SVU episode) with minimal negative publicity. And advising a client in PR best practices after an employee had committed a highly publicized terrorist attack in the US. Company was able to maintain all major financial relationships (JPM, BofA, Well Fargo, AmEx, etc.). He worked for a leader in the automotive services industry — building a reputation as nationally recognized expert on road rage (including an appearance on Court TV as a Subject Matter Expert). This included creating media that generated 100M+ impressions.
