Ab Initio Transcorrelated Method enabling accurate Quantum Chemistry on near-term Quantum Hardware

• URL: http://arxiv.org/abs/2303.02007v3
• Date: Wed, 17 Apr 2024 12:30:52 GMT
• Title: Ab Initio Transcorrelated Method enabling accurate Quantum Chemistry on near-term Quantum Hardware
• Authors: Werner Dobrautz, Igor O. Sokolov, Ke Liao, Pablo López Ríos, Martin Rahm, Ali Alavi, Ivano Tavernelli,
• Abstract summary: Current hardware limitations hamper the straightforward implementation of most quantum algorithms. In quantum chemistry, the limited number of available qubits and gate operations is particularly restrictive. We show that the exact transcorrelated approach not only allows for more shallow circuits but also improves the convergence towards the so-called basis set limit.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum computing is emerging as a new computational paradigm with the potential to transform several research fields, including quantum chemistry. However, current hardware limitations (including limited coherence times, gate infidelities, and limited connectivity) hamper the straightforward implementation of most quantum algorithms and call for more noise-resilient solutions. In quantum chemistry, the limited number of available qubits and gate operations is particularly restrictive since, for each molecular orbital, one needs, in general, two qubits. In this study, we propose an explicitly correlated Ansatz based on the transcorrelated (TC) approach, which transfers -- without any approximation -- correlation from the wavefunction directly into the Hamiltonian, thus reducing the number of resources needed to achieve accurate results with noisy, near-term quantum devices. In particular, we show that the exact transcorrelated approach not only allows for more shallow circuits but also improves the convergence towards the so-called basis set limit, providing energies within chemical accuracy to experiment with smaller basis sets and, therefore, fewer qubits. We demonstrate our method by computing bond lengths, dissociation energies, and vibrational frequencies close to experimental results for the hydrogen dimer and lithium hydride using just 4 and 6 qubits, respectively. Conventional methods require at least ten times more qubits for the same accuracy.

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