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首页> 外文期刊>Journal of physics, A. Mathematical and theoretical >Entanglement spectroscopy with a depth-two quantum circuit
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Entanglement spectroscopy with a depth-two quantum circuit

机译:具有深度 - 两个量子电路的缠结光谱

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Noisy intermediate-scale quantum (NISQ) computers have gate errors and decoherence, limiting the depth of circuits that can be implemented on them. A strategy for NISQ algorithms is to reduce the circuit depth at the expense of increasing the qubit count. Here, we exploit this trade-off for an application called entanglement spectroscopy, where one computes the entanglement of a state vertical bar psi on systems AB by evaluating the Renyi entropy of the reduced state rho(A) = Tr-B(vertical bar psi psi vertical bar). For a k-qubit state rho(k), the Renyi entropy of order n is computed via Tr(rho(k)(n)), with the complexity growing exponentially in k for classical computers. Johri et al (2017 Phys. Rev. B 96 195136) introduced a quantum algorithm that requires n copies of vertical bar psi and whose depth scales linearly in k*n. Here, we present a quantum algorithm requiring twice the qubit resources (2n copies of vertical bar psi ) but with a depth that is independent of both k and n. Surprisingly this depth is only two gates. Our numerical simulations show that this short depth leads to an increased robustness to noise.
机译:嘈杂的中间尺度量子量子(NISQ)计算机具有栅极误差和干式旋转,限制了可以在它们上实现的电路深度。 NISQ算法的策略是为了减少增加量子位计数的费用。在这里,我们利用这个折衷的应用程序,用于纠结光谱,其中一个垂直条PSI&gt的纠缠。通过评估renyi熵的renyi熵(a)= tr-b(垂直条psi&& psi垂直条)来评估Systems AB。对于K-Qubit状态Rho(k),通过TR(rho(k)(n))计算renyi熵N,其复杂性在k的典型计算机中呈指数增长。 Johri等(2017年Phys。Rev. B 96 195136)推出了一种量子算法,需要N拷贝的垂直条PSI&并且其深度在k * n中线性缩放。在这里,我们提出了一种需要两倍的量子算法(垂直栏PSI&gt的2N副本),但深度与k和n无关。令人惊讶的是这种深度只有两个门。我们的数值模拟表明,这种短的深度导致对噪音的鲁棒性增加。

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