Quantum-parallel vectorized data encodings and computations on trapped-ion and transmon QPUs.

Saved in:
Bibliographic Details
Title: Quantum-parallel vectorized data encodings and computations on trapped-ion and transmon QPUs.
Authors: Balewski J; National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Amankwah MG; National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.; Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, Cleveland, OH, 44106, USA., Van Beeumen R; Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Bethel EW; Computer Science Department, San Francisco State University, San Francisco, CA, 94132, USA., Perciano T; Scientific Data Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. tperciano@lbl.gov., Camps D; National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. dcamps@lbl.gov.
Source: Scientific reports [Sci Rep] 2024 Feb 10; Vol. 14 (1), pp. 3435. Date of Electronic Publication: 2024 Feb 10.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first