Parallelized Givens Ansatz for Molecular ground-states: Bridging Accuracy and Efficiency on NISQ Platforms
M. R. Nirmal, Ankit Khandelwal, Manoj Nambiar, Sharma S. R. K. C. Yamijala
TL;DR
This work tackles the challenge of accurate quantum chemistry on near-term quantum hardware by introducing Parallelized Givens Singles and Doubles (PGSD), a low-depth, symmetry-preserving VQE ansatz built from commuting Givens rotation gates. It pairs PGSD with a systematic active-space selection based on CCSD amplitudes to capture the majority of correlation energy while keeping circuit depth manageable. In noiseless simulations, PGSD achieves energies close to UCCSD and CASCI benchmarks across H2O, N2, and O2, while in noisy simulations it significantly outperforms UCCSD in energy accuracy due to reduced gate counts and depth. The approach demonstrates practical potential for quantum chemistry on current devices and lays groundwork for further enhancements such as higher-order excitations and vibrational structure calculations.
Abstract
In recent years, the Variational Quantum Eigensolver (VQE) has emerged as one of the most popular algorithms for solving the electronic structure problem on near-term quantum computers. The utility of VQE is often hindered by the limitations of current quantum hardware, including short qubit coherence times and low gate fidelities. These limitations become particularly pronounced when VQE is used along with deep quantum circuits, such as those required by the "Unitary Coupled Cluster Singles and Doubles" (UCCSD) ansatz, often resulting in significant errors. To address these issues, we propose a low-depth ansatz based on parallelized Givens rotations, which can recover substantial correlation energy while drastically reducing circuit depth and two-qubit gate counts for an arbitrary active space (AS). Also, considering the current hardware architectures with low qubit counts, we introduce a systematic way to select molecular orbitals to define active spaces (ASs) that retain significant electron correlation. We validate our approach by computing bond dissociation profiles of water and strongly correlated systems, such as molecular nitrogen and oxygen, across various ASs. Noiseless simulations using the new ansatz yield ground-state energies comparable to those from the UCCSD ansatz while reducing circuit depth by 50-70%. Moreover, in noisy simulations, our approach achieves energy error rates an order of magnitude lower than that of UCCSD. Considering the efficiency and practical usage of our ansatz, we hope that it becomes a potential choice for performing quantum chemistry calculations on near-term quantum devices.
