TY - GEN
T1 - Regularized Ising Formulation for Near-Optimal MIMO Detection using Quantum Inspired Solvers
AU - Singh, Abhishek Kumar
AU - Jamieson, Kyle
AU - McMahon, Peter L.
AU - Venturelli, Davide
N1 - Funding Information:
ACKNOWLEDGMENTS D.V. acknowledges support from NSF award CNS-1824470 and both D.V. and P.L.M. acknowledge support from NSF award CCF-1918549. A.K.S. and K.J. acknowledge support from NSF award CNS-1824357. A.K.S.’s internship has also been supported by the USRA Feynman Quantum Academy, as part of the NASA Academic Mission Services (NNA16BD14C) – funded under SAA2-403506. P.L.M. also acknowledges financial and technical support from NTT Research and membership in the CIFAR Quantum Information Science Program as an Azrieli Global Scholar.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Optimal MIMO detection is one of the most computationally challenging tasks in wireless systems. We show that the quantum-inspired computing approach based on Coherent Ising Machines (CIMs) is a promising candidate for performing near-optimal MIMO detection. We propose a novel regularized Ising formulation for MIMO detection that mitigates a common error floor issue in the direct approach adopted in the existing literature on MIMO detection using Quantum Annealing. We evaluate our methods using a simplified, quantum-inspired model and show that our methods can achieve a near-optimal performance for several Large MIMO systems, like 16times 16,20times 20, and 24times 24 MIMO with BPSK modulation.
AB - Optimal MIMO detection is one of the most computationally challenging tasks in wireless systems. We show that the quantum-inspired computing approach based on Coherent Ising Machines (CIMs) is a promising candidate for performing near-optimal MIMO detection. We propose a novel regularized Ising formulation for MIMO detection that mitigates a common error floor issue in the direct approach adopted in the existing literature on MIMO detection using Quantum Annealing. We evaluate our methods using a simplified, quantum-inspired model and show that our methods can achieve a near-optimal performance for several Large MIMO systems, like 16times 16,20times 20, and 24times 24 MIMO with BPSK modulation.
KW - Coherent Ising machines
KW - Large MIMO
KW - MIMO detection
KW - Physics-inspired Ising machine-based computation
KW - Quantum inspired solvers
UR - http://www.scopus.com/inward/record.url?scp=85146916978&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146916978&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM48099.2022.10001657
DO - 10.1109/GLOBECOM48099.2022.10001657
M3 - Conference contribution
AN - SCOPUS:85146916978
T3 - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
SP - 2517
EP - 2522
BT - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Global Communications Conference, GLOBECOM 2022
Y2 - 4 December 2022 through 8 December 2022
ER -