Heuristic Quantum Optimization for 6G Wireless Communications

Minsung Kim; Srikar Kasi; P. Aaron Lott; Davide Venturelli; John Kaewell; Kyle Jamieson

doi:10.1109/MNET.012.2000770

Heuristic Quantum Optimization for 6G Wireless Communications

Minsung Kim, Srikar Kasi, P. Aaron Lott, Davide Venturelli, John Kaewell, Kyle Jamieson

Computer Science

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

6G technologies such as massive MIMO, dense cells, innovative air interface multiplexing techniques, and ultra-high frequencies stand to significantly benefit from significantly increased amounts of computation at the base station. This position article surveys recent work the authors have undertaken to realize this vision on today's noisy intermediate scale quantum devices, illustrating possible system architectures to leverage the power of quantum devices for wireless networks. We sketch the state of the art in quantum processing devices, offering insights into their current and future evolution, and update our recent experimental results with the most recent such devices, to give the reader a sense of the trajectory of performance improvements over the past 12-24 months.

Original language	English (US)
Article number	9520378
Pages (from-to)	8-15
Number of pages	8
Journal	IEEE Network
Volume	35
Issue number	4
DOIs	https://doi.org/10.1109/MNET.012.2000770
State	Published - Jul 1 2021

All Science Journal Classification (ASJC) codes

Software
Information Systems
Hardware and Architecture
Computer Networks and Communications

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10.1109/MNET.012.2000770

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title = "Heuristic Quantum Optimization for 6G Wireless Communications",

abstract = "6G technologies such as massive MIMO, dense cells, innovative air interface multiplexing techniques, and ultra-high frequencies stand to significantly benefit from significantly increased amounts of computation at the base station. This position article surveys recent work the authors have undertaken to realize this vision on today's noisy intermediate scale quantum devices, illustrating possible system architectures to leverage the power of quantum devices for wireless networks. We sketch the state of the art in quantum processing devices, offering insights into their current and future evolution, and update our recent experimental results with the most recent such devices, to give the reader a sense of the trajectory of performance improvements over the past 12-24 months.",

author = "Minsung Kim and Srikar Kasi and {Aaron Lott}, P. and Davide Venturelli and John Kaewell and Kyle Jamieson",

note = "Funding Information: This material is based on work supported by the National Science Foundation under Grant Nos. CNS-1824357 and CNS-1824470, and a Princeton School of Engineering Innovation Fund award. The Princeton Advanced Wireless Systems research group gratefully acknowledges use of D-Wave machine time under the USRA Cycles 3 and 4 Research Opportunity Award Programs. Funding Information: computer science and associated faculty in electrical and computer engineering at Princeton University. He received his B.S. in mathematics, computer science, M.Eng. in computer science and engineering, and Ph.D. in computer science (2008) degrees from the Massachusetts Institute of Technology. He then received a Starting Investigator fellowship from the European Research Council, a Google Faculty Research Award, and the ACM SIGMOBILE Early Career Award. He served as an Associate Editor of IEEE Transactions on Networking (2018–2020). Publisher Copyright: {\textcopyright} 1986-2012 IEEE.",

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AU - Kasi, Srikar

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AU - Venturelli, Davide

AU - Kaewell, John

AU - Jamieson, Kyle

N1 - Funding Information: This material is based on work supported by the National Science Foundation under Grant Nos. CNS-1824357 and CNS-1824470, and a Princeton School of Engineering Innovation Fund award. The Princeton Advanced Wireless Systems research group gratefully acknowledges use of D-Wave machine time under the USRA Cycles 3 and 4 Research Opportunity Award Programs. Funding Information: computer science and associated faculty in electrical and computer engineering at Princeton University. He received his B.S. in mathematics, computer science, M.Eng. in computer science and engineering, and Ph.D. in computer science (2008) degrees from the Massachusetts Institute of Technology. He then received a Starting Investigator fellowship from the European Research Council, a Google Faculty Research Award, and the ACM SIGMOBILE Early Career Award. He served as an Associate Editor of IEEE Transactions on Networking (2018–2020). Publisher Copyright: © 1986-2012 IEEE.

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Heuristic Quantum Optimization for 6G Wireless Communications

Abstract

All Science Journal Classification (ASJC) codes

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