Demonstration of quantum linear equation solver on the IBM qiskit platform

Wenyu Ji, X. Meng
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引用次数: 3

Abstract

HHL algorithm is a basic quantum algorithm, which is mainly used to solve linear equations. It has a wide range of potential applications in science, engineering, finance, economics and other fields. Although the current scale of quantum computers is small, we can still demonstrate basic quantum algorithms. In this paper, taking the HHL quantum algorithm as an example, the quantum circuit of the HHL quantum algorithm corresponding to 4 qubits and 7 qubits is given, and the simulation verification is carried out on the IBM qiskit development platform. The results show that when the input matrix is a second-order matrix, the fidelity is very high, but when the input is a fourth-order matrix, the probability that the result is close to the real value is very high only when the sparsity of the matrix is relatively strong. However, when the sparsity of the input matrix is very weak, the result will be very different from the real value.
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量子线性方程求解器在IBM qiskit平台上的演示
HHL算法是一种基本的量子算法,主要用于求解线性方程。它在科学、工程、金融、经济等领域具有广泛的潜在应用。虽然目前量子计算机的规模很小,但我们仍然可以演示基本的量子算法。本文以HHL量子算法为例,给出了对应4个量子比特和7个量子比特的HHL量子算法的量子电路,并在IBM qiskit开发平台上进行了仿真验证。结果表明,当输入矩阵为二阶矩阵时,保真度很高,但当输入为四阶矩阵时,只有当矩阵的稀疏性比较强时,结果接近实值的概率才很高。然而,当输入矩阵的稀疏度很弱时,得到的结果与实际值相差很大。
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