Localized Quantum Chemistry on Quantum Computers
Matthew Otten, Matthew R. Hermes, Riddhish Pandharkar, Yuri, Alexeev, Stephen K. Gray, Laura Gagliardi

TL;DR
This paper introduces LAS-UCC, a quantum algorithm that localizes multireference wave functions and combines QPE and UCCSD to efficiently compute ground state energies of large, strongly correlated chemical systems with improved scalability and accuracy.
Contribution
The paper presents LAS-UCC, a novel quantum algorithm that reduces resource requirements and improves accuracy for quantum chemistry calculations on quantum computers.
Findings
LAS-UCC scales linearly with system size for certain geometries.
LAS-UCC achieves higher accuracy than VQE with UCCSD and classical methods.
Demonstrated on dissociation of (H₂)₂ and breaking bonds in trans-butadiene.
Abstract
Quantum chemistry calculations of large, strongly correlated systems are typically limited by the computation cost that scales exponentially with the size of the system. Quantum algorithms, designed specifically for quantum computers, can alleviate this, but the resources required are still too large for today's quantum devices. Here we present a quantum algorithm that combines a localization of multireference wave functions of chemical systems with quantum phase estimation (QPE) and variational unitary coupled cluster singles and doubles (UCCSD) to compute their ground state energy. Our algorithm, termed "local active space unitary coupled cluster" (LAS-UCC), scales linearly with system size for certain geometries, providing a polynomial reduction in the total number of gates compared with QPE, while providing accuracy above that of the variational quantum eigensolver using the UCCSD…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Cloud Computing and Resource Management · Parallel Computing and Optimization Techniques
