Paper Info
Title
Ground-state energy estimation of the water molecule on a trapped ion quantum computer.
Abstract
Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers. Examples include calculating molecular and nuclear structure, simulating strongly-interacting electron systems, and modeling aspects of material function. While substantial theoretical advances have been made in mapping these problems to quantum algorithms, there remains a large gap between the resource requirements for solving such problems and the capabilities of currently available quantum hardware. Bridging this gap will require a co-design approach, where the expression of algorithms is developed in conjunction with the hardware itself to optimize execution. Here, we describe a scalable co-design framework for solving chemistry problems on a trapped ion quantum computer, and apply it to compute the ground-state energy of the water molecule. The robust operation of the trapped ion quantum computer yields energy estimates with errors approaching the chemical accuracy, which is the target threshold necessary for predicting the rates of chemical reaction dynamics.
Year
Venue
DocType
2019
arXiv: Quantum Physics
Journal
Volume
Citations 
PageRank 
abs/1902.10171
0
0.34
References 
Authors
4
26
Name
Order
Citations
PageRank
Y. S. Nam1245.46
Jwo-Sy Chen200.68
Neal C. Pisenti300.68
K. Wright4353.23
Conor Delaney500.34
Dmitri Maslov659649.00
Kenneth R. Brown7296.08
Stewart Allen800.34
Jason M. Amini901.01
Joel Apisdorf1000.34
Kristin M. Beck1100.68
Aleksey Blinov1200.34
Vandiver Chaplin1300.68
Mika Chmielewski1400.34
Coleman Collins1500.34
Shantanu Debnath1600.68
Andrew M. Ducore1700.34
Kai M. Hudek1800.68
Matthew J. Keesan1900.68
Sarah M. Kreikemeier2000.34
Jonathan Mizrahi2110.70
Phil Solomon2200.34
Mike Williams23161.48
Jaime David Wong-Campos2400.34
Christopher R. Monroe2500.34
Jungsang Kim2600.34