Quantum-inspired algorithm solves 268 million-site quasicrystal simulation in a heartbeat

A breakthrough quantum-inspired algorithm simulated a 268-million-site quasicrystal in record time, demonstrating unprecedented computational efficiency for complex quantum material systems. The algorithm leverages classical hardware to mimic quantum parallelism, bypassing current limitations of noisy intermediate-scale quantum (NISQ) devices while achieving quantum-like speedups. Researchers targeted quasicrystals—non-repeating atomic structures—critical for advancing quantum materials like superconductors and topological insulators, where traditional simulations fail due to exponential complexity. The method builds on moiré pattern engineering, where twisted graphene layers exhibit emergent quantum properties, offering a scalable path to designing novel materials without full quantum computers. This advance accelerates material discovery by enabling high-fidelity simulations of large-scale quantum systems, potentially revolutionizing energy, computing, and nanotechnology applications.