This readme file was generated on 2023-12-13. GENERAL INFORMATION Title of Dataset: Data for: State preparation in quantum algorithms for fragment-based quantum chemistry Description of Dataset: State preparation for quantum algorithms is crucial for achieving high accuracy in quantum chemistry and competing with classical algorithms. The localized active space unitary coupled cluster (LAS-UCC) algorithm iteratively loads a fragment-based multireference wave function onto a quantum computer. In this study, we compare two state preparation methods, quantum phase estimation (QPE) and direct initialization (DI), for each fragment. We test the two state preparation methods on three systems, ranging from a model system, a set of interacting hydrogen molecules, to more realistic chemical problems, like the C-C double bond breaking in trans-butadiene, and the spin ladder in a bimetallic system. We analyze the impact of QPE parameters, such as the number of ancilla qubits and Trotter steps, on the prepared state. We find a trade-off between the methods, where DI requires fewer resources for smaller fragments, while QPE is more efficient for larger fragments. Our resource estimates highlight the benefits of system fragmentation in state preparation for subsequent quantum chemical calculations. These findings have broad applications for preparing multireference quantum chemical wave functions on quantum circuits, that can be used for realistic chemical applications. Author/Principal Investigator Information Name: Ruhee D’Cunha ORCID: https://orcid.org/0000-0002-1866-5786 Institution: University of Chicago Address: 5735 S Ellis Avenue, Chicago, IL, USA 60637 Email: rdcunha@uchicago.edu Author/Associate or Co-investigator Information Name: Laura Gagliardi ORCID: Institution: University of Chicago Address: 5735 S Ellis Avenue, Chicago, IL, USA 60637 Email: lgagliardi@uchicago.edu Author/Alternate Contact Information Name: Matthew R. Hermes ORCID: https://orcid.org/0000-0001-7807-2950 Institution: University of Chicago Address: 5735 S Ellis Avenue, Chicago, IL, USA 60637 Email: mrhermes@uchicago.edu Date of data collection: Geographic location of data collection: Information about funding sources that supported the collection of the data: Department of Energy: DE-AC0206CH11357 National Science Foundation: NSF OMA-2121044 SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data: Creative Commons Attribution-NoDerivs 4.0 International (CC BY-ND 4.0) license https://creativecommons.org/licenses/by-nd/4.0/ Links to publications that cite or use the data: https://arxiv.org/abs/2305.18110 Links to other publicly accessible locations of the data: Links/relationships to ancillary data sets: Was data derived from another source? If yes, list source(s): Recommended citation for this dataset: D’Cunha, R. (2023). Data for: State preparation in quantum algorithms for fragment-based quantum chemistry [Data set]. Knowledge@UChicago. https://doi.org/10.6082/uchicago.9794 DATA & FILE OVERVIEW File List: Relationship between files, if important: Additional related data collected that was not included in the current data package: Are there multiple versions of the dataset? If yes, name of file(s) that was updated: Why was the file updated? When was the file updated? METHODOLOGICAL INFORMATION Description of methods used for collection/generation of data: Methods for processing the data: Instrument- or software-specific information needed to interpret the data: Standards and calibration information, if appropriate: Environmental/experimental conditions: Describe any quality-assurance procedures performed on the data: People involved with sample collection, processing, analysis and/or submission: DATA-SPECIFIC INFORMATION FOR: Number of variables: Number of cases/rows: Variable List: Missing data codes: Specialized formats or other abbreviations used: