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Qubit Coupled Cluster Method: A Systematic Approach to Quantum Chemistry on a Quantum Computer

机译:Qubit耦合集群方法:量子计算机上量子化学的系统方法

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A unitary coupled cluster (UCC) form for the wave function in the variational quantum eigensolver has been suggested as a systematic way to go beyond the mean-field approximation and include electron correlation in solving quantum chemistry problems on a quantum computer. Although being exact in the limit of including all possible coupled cluster excitations, practically, the accuracy of this approach depends on the number and type of terms are included in the wave function parametrization. Another difficulty of UCC is a growth of the number of simultaneously entangled qubits even at the fixed Fermionic excitation rank. Not all quantum computing architectures can cope with this growth. To address both problems, we introduce a qubit coupled cluster (QCC) method that starts directly in the qubit space and uses energy response estimates for ranking the importance of individual entanglers for the variational energy minimization. Also, we provide an exact factorization of a unitary rotation of more than two qubits to a product of two-qubit unitary rotations. Thus, the QCC method with the factorization technique can be limited to only two-qubit entanglement gates and allows for very efficient use of quantum resources in terms of the number of coupled cluster operators. The method performance is illustrated by calculating ground-state potential energy curves of H-2 and LiH molecules with chemical accuracy, = 1 kcal/mol, and a symmetric water dissociation curve.
机译:已经提出了用于变化量子Eigensolver中的波函数的整体耦合集群(UCC)形式作为超出平均场近似的系统方式,并且包括在量子计算机上求解量子化学问题的电子相关性。尽管在包括所有可能的耦合集群激发的限制中,但实际上,这种方法的准确性取决于术语的数量和类型包括在波函数参数中。 UCC的另一个难度是甚至在固定的Fermionic激励等级的同时缠绕Qubits的数量的增长。并非所有量子计算架构都可以应对这种增长。为了解决这两个问题,我们介绍了一种Qubit耦合群集(QCC)方法,该方法直接在Qubit空间中开始,并使用能量响应估计来排列各个纠缠在变分能量最小化的重要性。此外,我们提供了一个以上两种Qubits的单一旋转的精确分解,到两个量子间旋转的乘积。因此,具有因子化技术的QCC方法仅限于两个Qubit纠缠门,并且允许在耦合集群运营商的数量方面非常有效地使用量子资源。通过用化学精度计算H-2和LIH分子的地态电位能曲线,& = 1kcal / mol,以及对称水解离曲线来说明方法性能。

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