BlueQubit, alongside Qedma, IBM, and RIKEN, reports demonstrating a performance advantage for quantum computing by successfully predicting complex material behaviors where classical simulations failed. RIKEN expended over 500,000 CPU-core hours on the Fugaku supercomputer attempting to model sub-atomic oscillations, a task ultimately achieved with an error-mitigated quantum processor. This achievement suggests that practical quantum applications may arrive sooner than the previously expected timeframe of five to ten years, indicating that a quantum advantage is attainable now. “Proving true quantum advantage requires rigorous verification against the uppermost limits of classical computing,” said Hayk Tepanyan, BlueQubit co-founder and CTO. Floquet Ising Magnet Simulations Demonstrate Quantum Advantage Floquet Ising magnet simulations have revealed a demonstrable performance advantage for quantum computing, challenging expectations of a five-to-ten year timeline before practical applications emerge. Researchers from BlueQubit, Qedma, IBM, and RIKEN successfully predicted the behavior of these complex materials using error-mitigated quantum processors, a feat unattainable with current classical supercomputers. The study focused on the sub-atomic oscillations within Floquet Ising magnets, materials crucial for developing technologies such as room-temperature superconductors and improved electric vehicle batteries. These materials rely on a “prethermal” barrier to maintain stable oscillations, a property proving difficult to model accurately with classical methods. Despite these substantial efforts, classical approaches failed to consistently and reliably predict the material’s behavior. Qedma then deployed its QESEM error-mitigation software on IBM’s 156-qubit Heron processor, and independently validated the results using trapped-ion systems from Quantinuum, achieving percent-level accuracy without requiring millions of qubits or full error correction. This success highlights the potential of error mitigation techniques to unlock near-term quantum advantages. According to the team, running leading-edge Pauli path simulations on high-performance classical infrastructure pushed classical computing to its limits; when these advanced methods could no longer converge, the error-mitigated quantum system continued to deliver reliable results. This