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使用动态电路的量子傅里叶变换

Quantum Fourier Transform Using Dynamic Circuits.

作者信息

Bäumer Elisa, Tripathi Vinay, Seif Alireza, Lidar Daniel, Wang Derek S

机构信息

IBM Quantum, <a href="https://ror.org/02js37d36">IBM Research-Zurich</a>, 8803 Rüschlikon, Switzerland.

Department of Physics &amp; Astronomy, and Center for Quantum Information Science &amp; Technology, <a href="https://ror.org/03taz7m60">University of Southern California</a>, Los Angeles, California 90089, USA.

出版信息

Phys Rev Lett. 2024 Oct 11;133(15):150602. doi: 10.1103/PhysRevLett.133.150602.

DOI:10.1103/PhysRevLett.133.150602
PMID:39454138
Abstract

In dynamic quantum circuits, classical information from midcircuit measurements is fed forward during circuit execution. This emerging capability of quantum computers confers numerous advantages that can enable more efficient and powerful protocols by drastically reducing the resource requirements for certain core algorithmic primitives. In particular, in the case of the n-qubit quantum Fourier transform followed immediately by measurement, the scaling of resource requirements is reduced from O(n^{2}) two-qubit gates in an all-to-all connectivity in the standard unitary formulation to O(n) midcircuit measurements in its dynamic counterpart without any connectivity constraints. Here, we demonstrate the advantage of dynamic quantum circuits for the quantum Fourier transform on IBM's superconducting quantum hardware with certified process fidelities of >50% on up to 16 qubits and >1% on up to 37 qubits, exceeding previous reports across all quantum computing platforms. These results are enabled by our contribution of an efficient method for certifying the process fidelity, as well as of a dynamical decoupling protocol for error suppression during midcircuit measurements and feed forward within a dynamic quantum circuit that we call "feed-forward-compensated dynamical decoupling." Our results demonstrate the advantages of leveraging dynamic circuits in optimizing the compilation of quantum algorithms.

摘要

在动态量子电路中,来自电路中间测量的经典信息在电路执行期间被前馈。量子计算机的这种新出现的能力带来了许多优势,通过大幅降低某些核心算法原语的资源需求,可以实现更高效、更强大的协议。特别是,在紧接着进行测量的n比特量子傅里叶变换的情况下,资源需求的规模从标准酉形式中全对全连接所需的O(n²)个双比特门,减少到其动态对应形式中无任何连接约束的O(n)次电路中间测量。在此,我们在IBM的超导量子硬件上展示了动态量子电路用于量子傅里叶变换的优势,在多达16比特上过程保真度认证大于50%,在多达37比特上大于1%,超过了此前所有量子计算平台的报告。这些结果得益于我们贡献的一种用于认证过程保真度的高效方法,以及一种用于在电路中间测量和我们称为“前馈补偿动态解耦”的动态量子电路内前馈期间抑制误差的动态解耦协议。我们的结果证明了利用动态电路在优化量子算法编译方面的优势。

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