Quantum Physics
[Submitted on 11 Oct 2019 (v1), last revised 17 Jun 2020 (this version, v4)]
Title:Generalized unitary coupled cluster excitations for multireference molecular states optimized by the Variational Quantum Eigensolver
View PDFAbstract:The variational quantum eigensolver (VQE) algorithm, designed to calculate the energy of molecular ground states on near-term quantum computers, requires specification of symmetries that describe the system, e.g. spin state and number of electrons. This opens the possibility of using VQE to obtain excited states as the lowest energy solutions of a given set of symmetries. In this paper, the performances of various unitary coupled cluster (UCC) ansätze applied to VQE calculations on excited states are investigated, using quantum circuits designed to represent single reference and multireference wavefunctions to calculate energy curves with respect to variations in the molecular geometry. These ansätze include standard UCCSD, as well as modified versions of UCCGSD and k-UpCCGSD which are engineered to tackle excited states without undesired spin symmetry cross-over to lower states during VQE optimization. These studies are carried out on a range of systems including H$_2$, H$_3$, H$_4$, NH, and OH$^{+}$, CH$_2$, NH$^{+}_{2}$, covering examples of spin singlet, doublet and triplet molecular ground states with single and multireference excited states. In most cases, our calculations are in excellent agreement with results from full configuration interaction calculations on classical machines, thus showing that the VQE algorithm is capable of calculating the lowest excited state at a certain symmetry, including multireference closed and open shell states, by setting appropriate restrictions on the excitations considered in the cluster operator, and appropriate constraints in the qubit register encoding the starting mean field state.
Submission history
From: Gabriel Greene-Diniz PhD. [view email][v1] Fri, 11 Oct 2019 13:24:18 UTC (926 KB)
[v2] Mon, 28 Oct 2019 14:40:58 UTC (928 KB)
[v3] Fri, 13 Mar 2020 14:47:42 UTC (2,510 KB)
[v4] Wed, 17 Jun 2020 14:23:55 UTC (2,362 KB)
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