Real-time hybrid quantum-classical computations for trapped ions with Python control-flow

authored by: Tobias Schmale, Bence Temesi, Niko Trittschanke, Nicolas Pulido-Mateo, Ilya Elenskiy, Ludwig Krinner, Timko Dubielzig, Christian Ospelkaus, Hendrik Weimer, Daniel Borcherding
Abstract: In recent years, the number of hybrid algorithms that combine quantum and classical computations has been continuously increasing. These two approaches to computing can mutually enhance each others' performances thus bringing the promise of more advanced algorithms that can outmatch their pure counterparts. In order to accommodate this new class of codes, a proper environment has to be created, which enables the interplay between the quantum and classical hardware.For many of these hybrid processes the coherence time of the quantum computer arises as a natural time constraint, making it crucial to minimize the classical overhead. For ion-trap quantum computers however, this is a much less limiting factor than with superconducting technologies, since the relevant timescale is on the order of seconds instead of microseconds. In fact, we show that the operating time-scales of trapped-ion quantum computers are compatible with the execution speed of the Python programming language, enabling us to develop an interpreted scheme for real-time control of quantum computations. In particular, compilation of all instructions in advance is not necessary, unlike with superconducting qubits. This keeps the implementation of hybrid algorithms simple and also lets users benefit from the rich environment of existing Python libraries.In order to show that this approach of interpreted quantum-classical computations (IQCC) is feasible, we bring real-world examples and evaluate them in realistic benchmarks.
Organisation(s): Institute of Theoretical Physics
Institute of Quantum Optics
QuantumFrontiers
External Organisation(s): National Metrology Institute of Germany (PTB)
Technische Universität Braunschweig
Type: Conference contribution
Pages: 193-199
No. of pages: 7
Publication date: 2023
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Hardware and Architecture, Software, Statistical and Nonlinear Physics
Electronic version(s): https://doi.org/10.48550/arXiv.2303.01282 (Access: Open)
https://doi.org/10.1109/QSW59989.2023.00031 (Access: Closed)

BibTeX

@inproceedings{504ee554dedf4ef48a70e026c01cd2f2,
title = "Real-time hybrid quantum-classical computations for trapped ions with Python control-flow",
abstract = "In recent years, the number of hybrid algorithms that combine quantum and classical computations has been continuously increasing. These two approaches to computing can mutually enhance each others' performances thus bringing the promise of more advanced algorithms that can outmatch their pure counterparts. In order to accommodate this new class of codes, a proper environment has to be created, which enables the interplay between the quantum and classical hardware.For many of these hybrid processes the coherence time of the quantum computer arises as a natural time constraint, making it crucial to minimize the classical overhead. For ion-trap quantum computers however, this is a much less limiting factor than with superconducting technologies, since the relevant timescale is on the order of seconds instead of microseconds. In fact, we show that the operating time-scales of trapped-ion quantum computers are compatible with the execution speed of the Python programming language, enabling us to develop an interpreted scheme for real-time control of quantum computations. In particular, compilation of all instructions in advance is not necessary, unlike with superconducting qubits. This keeps the implementation of hybrid algorithms simple and also lets users benefit from the rich environment of existing Python libraries.In order to show that this approach of interpreted quantum-classical computations (IQCC) is feasible, we bring real-world examples and evaluate them in realistic benchmarks.",
keywords = "Hybrid Quantum-Classical Computation, Quantum Computing, Trapped Ions",
author = "Tobias Schmale and Bence Temesi and Niko Trittschanke and Nicolas Pulido-Mateo and Ilya Elenskiy and Ludwig Krinner and Timko Dubielzig and Christian Ospelkaus and Hendrik Weimer and Daniel Borcherding",
note = "Funding Information: ACKNOWLEDGMENT This work was funded by the Quantum Valley Lower Saxony Q1 project (QVLS-Q1) through the Volkswagen foundation and the ministry for science and culture of Lower Saxony, by Germany{\textquoteright}s Excellence Strategy – EXC-2123 Quan-tumFrontiers – 390837967 and by the ATIQ project through the BMBF. ; 2023 IEEE International Conference on Quantum Software, QSW 2023 ; Conference date: 02-07-2023 Through 08-07-2023",
year = "2023",
doi = "10.48550/arXiv.2303.01282",
language = "English",
isbn = "979-8-3503-0480-0",
pages = "193--199",
editor = "Shaukat Ali and Claudio Ardagna and Nimanthi Atukorala and Johanna Barzen and Chang, {Carl K.} and Chang, {Rong N.} and Jing Fan and Ismael Faro and Sebastian Feld and Fox, {Geoffrey C.} and Zhi Jin and Frank Leymann and Florian Neukart and {de la Puente}, Salvador and Manuel Wimmer",
booktitle = "2023 IEEE International Conference on Quantum Software",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
}