A comment on comparing optimization on D-Wave and IBM quantum processors

T. F. Rønnow, Z. Wang, J. Job, S. Boixo, S. V. Isakov, D. Wecker, J. M. Martinis, D. A. Lidar, and M. Troyer, Defining and detecting quantum speedup, Science 345

2014

Earlier work this paper cites.

T. Albash and D. A. Lidar, Adiabatic quantum computation, Reviews of Modern Physics 90

2018

Earlier work this paper cites.

M. Willsch, D. Willsch, F. Jin, H. De Raedt, and K. Michielsen, Benchmarking the quantum approximate optimization algorithm, Quantum Information Processing 19

2020

Earlier work this paper cites.

Y. Bando, Y. Susa, H. Oshiyama, N. Shibata, M. Ohzeki, F. J. Gómez-Ruiz, D. A. Lidar, S. Suzuki, A. del Campo, and H. Nishimori, Probing the universality of topological defect formation in a quantum annealer: Kibble-Zurek mechanism and beyond, Physical Review Research 2

2020

Earlier work this paper cites.

E. Pelofske, J. Golden, A. Bartschi, D. O’Malley, and S. Eidenbenz, Sampling on NISQ Devices: “Who’s the Fairest One of All?”, Proceedings - 2021 IEEE International Conference on Quantum Computing and Engineering, QCE 2021 I

2021

Earlier work this paper cites.

H. Ushijima-Mwesigwa, R. Shaydulin, C. F. Negre, S. M. Mniszewski, Y. Alexeev, and I. Safro, Multilevel Combinatorial Optimization across Quantum Architectures, ACM Transactions on Quantum Computing 2

2021

Cited alongside, same era.

M. P. Harrigan, K. J. Sung, M. Neeley, K. J. Satzinger, F. Arute, et al. , Quantum approximate optimization of non-planar graph problems on a planar superconducting processor, Nature Physics 17

2021

Cited alongside, same era.

A. D. King, S. Suzuki, J. Raymond, A. Zucca, T. Lanting, et al. , Coherent quantum annealing in a programmable 2,000 qubit Ising chain, Nature Physics 18

2022

Cited alongside, same era.

M. Cain, S. Chattopadhyay, J.-G. Liu, R. Samajdar, H. Pichler, and M. D. Lukin, Quantum speedup for combinatorial optimization with flat energy landscapes (2023), arXiv:2306.13123

Original

2023

Cited alongside, same era.

M. H. Amin, A. D. King, J. Raymond, R. Harris, W. Bernoudy, et al. , Quantum error mitigation in quantum annealing (2023), arXiv:2311.01306

Original

2023

Later among the works it cites.

N. Sachdeva, G. S. Harnett, S. Maity, S. Marsh, Y. Wang, A. Winick, R. Dougherty, D. Canuto, Y. Q. Chong, M. Hush, P. S. Mundada, C. D. B. Bentley, M. J. Biercuk, and Y. Baum, Quantum optimization using a 127-qubit gate-model IBM quantum computer can outperform quantum annealers for nontrivial binary optimization problems (2024), arXiv:2406.01743

Original

2024

Closest in time.

A. Miessen, D. J. Egger, I. Tavernelli, and G. Mazzola, Benchmarking digital quantum simulations and optimization above hundreds of qubits using quantum critical dynamics (2024), arXiv:2404.08053

Original

2024

Closest in time.

E. Pelofske, A. Bärtschi, and S. Eidenbenz, Short-depth QAOA circuits and quantum annealing on higher-order ising models, npj Quantum Information 10

2024

Closest in time.