Researchers have developed a novel protocol for efficiently estimating multiple observables from a limited number of copies of a thermal state, leveraging single-copy, nonadaptive measurements. This approach achieves optimal sample complexity in a black-box setting, requiring only $\mathcal{O}(\log (M)/\varepsilon^2)$ copies to estimate $M$ observables. The total Hamiltonian simulation time is $\widetilde{\mathcal{O}}(βM/\varepsilon^2)$, making it a significant improvement over existing methods. This breakthrough has significant implications for quantum computing and simulation, particularly in scenarios where accessing a large number of copies is impractical1. The ability to efficiently estimate observables from limited data can be a game-changer in various fields, from materials science to cryptography. So what matters to practitioners is that this protocol can potentially enhance the security and efficiency of quantum simulations, ultimately influencing the development of quantum-resistant cryptographic protocols.