Researchers have made a significant step forward in understanding how isolated quantum many-body systems thermalize, a crucial question in modern physics. Using IBM's Nighthawk superconducting processor, they studied the onset of ergodicity in a two-dimensional disordered Heisenberg Floquet model, scaling up to $10\times10$ qubits. By probing ergodicity across different length scales through coarse-graining, they gained insights into the thermalization process. This breakthrough has implications for the development of quantum computing, particularly in relation to quantum cryptography1. As quantum computing capabilities advance, the need for post-quantum cryptography (PQC) migration becomes more pressing. The progress made by IBM's digital quantum simulation narrows the timeline for cryptographic migration, increasing the urgency for PQC planning. This matters to practitioners as it highlights the need to accelerate PQC adoption to stay ahead of the quantum computing curve.