Song, Wooyeong Lim, Youngrong Jeong, Kabgyun Lee, Jinhyoung Park, Jung Jun Kim, M. S. Bang, Jeongho 2024-01-19T11:01:59Z 2024-01-19T11:01:59Z 2022-10-27 2022-10 1367-2630 https://pubs.kist.re.kr/handle/201004/114480 The noisy binary linear problem (NBLP) is known as a computationally hard problem, and therefore, it offers primitives for post-quantum cryptography. An efficient quantum NBLP algorithm that exhibits a polynomial quantum sample and time complexities has recently been proposed. However, the algorithm requires a large number of samples to be loaded in a highly entangled state and it is unclear whether such a precondition on the quantum speedup can be obtained efficiently. Here, we present a complete analysis of the quantum solvability of the NBLP by considering the entire algorithm process, namely from the preparation of the quantum sample to the main computation. By assuming that the algorithm runs on 'fault-tolerant' quantum circuitry, we introduce a reasonable measure of the computational time cost. The measure is defined in terms of the overall number of T gate layers, referred to as T-depth complexity. We show that the cost of solving the NBLP can be polynomial in the problem size, at the expense of an exponentially increasing logical qubits. English Institute of Physics Publishing Polynomial T-depth quantum solvability of noisy binary linear problem: from quantum-sample preparation to main computation Article 10.1088/1367-2630/ac94ef 1 New Journal of Physics, v.24, no.10 New Journal of Physics 24 10 Y scie scopus 000867378600001 Physics, Multidisciplinary Physics Article post-quantum cryptography fault-tolerant quantum computation T-depth complexity quantum algorithm noisy binary linear problem