Bridging realities: Blockchain adoption dynamics and a quantum wormhole framework for spacetime-optimized supply chains

This study employs a dual-methodological approach to explore two pressing challenges in supply chain management: uneven blockchain adoption and the transformative potential of quantum logistics. A mixed-methods analysis of 200 manufacturers reveals that large firms exhibit a 2.3× greater intent to adopt blockchain compared to SMEs (p < 0.001*). This disparity is driven by trust in automated verification (β = 0.53, p < 0.001*) and perceived operational benefits (β = 0.50, p < 0.001*). Cluster analysis uncovers organizational archetypes, highlighting how infrastructural inertia and risk aversion hinder innovation in smaller enterprises, warranting targeted policy interventions. At its core lies a Kronecker product-driven Hamiltonian: ℋ𝐼𝑠𝑖𝑛𝑔=−Σ𝑖,𝑗𝐽𝑖𝑗𝑥𝑖𝑥𝑗− Σ𝑖h𝑖𝑥𝑖 where entanglement weights 𝐽𝑖𝑗 and temporal penalties h𝑖 are derived from a multi-layered matrix 𝑃𝑇𝑜𝑡𝑎𝑙= 𝑃𝑠𝑝𝑎𝑐𝑒⊗𝑃𝑡𝑖𝑚𝑒⊗𝑃𝑤𝑒𝑎𝑙𝑡ℎ. We introduce the Quantum Logistics Wormhole Framework (QLWF), which reconceptualizes supply chains as relativistic spacetime manifolds. Inspired by traversable wormhole dynamics (Morris & Thorne, 1988), the QLWF compresses lead times by optimizing tokenized workflows across time, space, and wealth dimensions. In a hypothetical aircraft tractor procurement scenario, the QLWF reduces a 17-day process to just 6 days through three mechanisms: Wormhole-Activated Geodesics, Temporal Superposition, and Anti-Token Scarcity Sinks. This framework integrates quantum annealing (Weinberg, 2022) with blockchain’s trust architecture. Ultimately, this research transcends traditional supply chain paradigms, proposing a self-optimizing, entropy-resistant network ideal for just-in-time logistics and mass customization.