Hama Yusuke, Nishi Hirofumi
Quemix Inc., 2-11-2 Nihombashi, Chuo-ku, Tokyo, 103-0027, Japan.
Laboratory for Materials and Structures, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8503, Japan.
Sci Rep. 2024 Mar 13;14(1):6077. doi: 10.1038/s41598-024-52485-7.
Near-term quantum computers have been built as intermediate-scale quantum devices and are fragile against quantum noise effects, namely, NISQ devices. Traditional quantum-error-correcting codes are not implemented on such devices and to perform quantum computation in good accuracy with these machines we need to develop alternative approaches for mitigating quantum computational errors. In this work, we propose quantum error mitigation (QEM) scheme for quantum computational errors which occur due to couplings with environments during gate operations, i.e., decoherence. To establish our QEM scheme, first we estimate the quantum noise effects on single-qubit states and represent them as groups of quantum circuits, namely, quantum-noise-effect circuit groups. Then our QEM scheme is conducted by subtracting expectation values generated by the quantum-noise-effect circuit groups from those obtained by the quantum circuits for the quantum algorithms under consideration. As a result, the quantum noise effects are reduced, and we obtain approximately the ideal expectation values via the quantum-noise-effect circuit groups and the numbers of elementary quantum circuits composing them scale polynomial with respect to the products of the depths of quantum algorithms and the numbers of register bits. To numerically demonstrate the validity of our QEM scheme, we run noisy quantum simulations of qubits under amplitude damping effects for four types of quantum algorithms. Furthermore, we implement our QEM scheme on IBM Q Experience processors and examine its efficacy. Consequently, the validity of our scheme is verified via both the quantum simulations and the quantum computations on the real quantum devices. Our QEM scheme is solely composed of quantum-computational operations (quantum gates and measurements), and thus, it can be conducted by any type of quantum device. In addition, it can be applied to error mitigation for many other types of quantum noise effects as well as noisy quantum computing of long-depth quantum algorithms.
近期的量子计算机已被构建为中等规模量子设备,并且对量子噪声效应较为脆弱,即噪声中等规模量子(NISQ)设备。传统的量子纠错码无法在此类设备上实现,为了使用这些机器高精度地执行量子计算,我们需要开发减轻量子计算误差的替代方法。在这项工作中,我们针对由于门操作期间与环境耦合(即退相干)而出现的量子计算误差,提出了量子误差减轻(QEM)方案。为了建立我们的QEM方案,首先我们估计单比特态上的量子噪声效应,并将它们表示为量子电路组,即量子噪声效应电路组。然后,我们的QEM方案通过从所考虑的量子算法的量子电路获得的期望值中减去由量子噪声效应电路组生成的期望值来进行。结果,量子噪声效应得以降低,并且我们通过量子噪声效应电路组获得了近似理想的期望值,并且构成它们的基本量子电路的数量相对于量子算法的深度与寄存器比特数的乘积呈多项式缩放。为了从数值上证明我们的QEM方案的有效性,我们针对四种类型的量子算法,对处于振幅阻尼效应下的量子比特进行了有噪声量子模拟。此外,我们在IBM Q Experience处理器上实现了我们的QEM方案并检验了其有效性。因此,通过量子模拟和在真实量子设备上的量子计算,我们方案的有效性均得到了验证。我们的QEM方案仅由量子计算操作(量子门和测量)组成,因此,它可以由任何类型的量子设备执行。此外,它还可以应用于减轻许多其他类型的量子噪声效应以及长深度量子算法的有噪声量子计算中的误差。