![]() Since quantum computers in the near future are expected to be very noisy, and the number of qubits is restricted, quantum error mitigation (QEM) for obtaining correct results without significant hardware overheads will be indispensable to make the best of the computational power of NISQ computers. ![]() The next milestone is to use such quantum devices to solve practical problems, e.g., in quantum chemistry and machine learning. This scheme will dramatically alleviate the required computational overheads and hasten the arrival of the FTQC era.Ī noisy intermediate-scale quantum (NISQ) device with over 50 qubits has demonstrated quantum supremacy, i.e., that quantum computers can outperform classical computers in solving a specific problem. From another perspective, when the achievable code distance is up to about 11, our scheme allows executing 10 3 times more logical operations. ![]() For example, while we need 10 4 to 10 10 logical operations for demonstrating quantum advantages from optimistic and pessimistic points of view, we show that we can reduce the required number of physical qubits by 80% and 45% in each regime. ![]() Here, we integrate quantum error correction and quantum error mitigation into an efficient FTQC architecture that effectively increases the code distance and T-gate count at the cost of constant sampling overheads in a wide range of quantum computing regimes. In the early years of fault-tolerant quantum computing (FTQC), it is expected that the available code distance and the number of magic states will be restricted due to the limited scalability of quantum devices and the insufficient computational power of classical decoding units. ![]()
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