通过量子转向在量子计算机上制备状态

Daniel Volya;Prabhat Mishra
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引用次数: 0

摘要

量子计算机为研究开放量子系统(即系统的非单元动力学)提供了一个引人注目的平台。在这里,我们研究并报告了马尔可夫非单元动力学的数字模拟,它收敛到一个唯一的稳定状态。稳态被编程为一个理想的目标状态,类似于量子态准备协议。通过委托辅助量子比特和系统量子比特,重复执行以下步骤将系统状态驱动到目标状态:1) 执行指定的系统-ancilla纠缠电路;2) 测量ancilla量子比特;3) 通过主动复位将ancilla量子比特重新初始化到已知状态。在测量 ancilla 量子比特并将其重新初始化到已知状态的同时,系统量子比特经历了非单元演化,并从任意初始状态被引导到所需的目标状态。我们通过在当代量子计算机上制备任意量子比特态和 Qutrit(三量级)态,展示了该方法的成果。我们还证明,通过利用辅助量子比特的读出,以非盲方式引导协议,可以加速状态收敛。我们的工作是一个非凡的例子,它包含并描述了量子比特重用(量子比特复位)、纠缠电路和测量等基本操作。这些操作不仅对近期嘈杂的中等规模量子应用至关重要,而且对实现未来的纠错码也至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State Preparation on Quantum Computers via Quantum Steering
Quantum computers present a compelling platform for the study of open quantum systems, namely, the nonunitary dynamics of a system. Here, we investigate and report digital simulations of Markovian nonunitary dynamics that converge to a unique steady state. The steady state is programmed as a desired target state, yielding semblance to a quantum state preparation protocol. By delegating ancilla qubits and system qubits, the system state is driven to the target state by repeatedly performing the following steps: 1) executing a designated system–ancilla entangling circuit; 2) measuring the ancilla qubits; and 3) reinitializing ancilla qubits to known states through active reset. While the ancilla qubits are measured and reinitialized to known states, the system qubits undergo a nonunitary evolution and are steered from arbitrary initial states to desired target states. We show results of the method by preparing arbitrary qubit states and qutrit (three-level) states on contemporary quantum computers. We also demonstrate that the state convergence can be accelerated by utilizing the readouts of the ancilla qubits to guide the protocol in a nonblind manner. Our work serves as a nontrivial example that incorporates and characterizes essential operations, such as qubit reuse (qubit reset), entangling circuits, and measurement. These operations are not only vital for near-term noisy intermediate-scale quantum applications but are also crucial for realizing future error-correcting codes.
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