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Towards analyzing large graphs with quantum annealing

Peer-reviewed
Open access
DOI
10.1109/BigData47090.2019.9006174
Reittu, Hannu; Kotovirta, Ville; Leskelä, Lasse; Rummukainen, Hannu; Räty, Tomi
The 2019 IEEE International Conference on Big Data2019Publications information icon

Optimization in random field Ising models by quantum annealing

Peer-reviewed
DOI
10.1088/1742-5468/2006/01/P01008
Sarjala, M.; Petaja, V.; Alava, M.
Journal of Statistical Mechanics: Theory and Experiment2006Publications information icon

Quantum annealing for real-world machine learning applications

Peer-reviewed
DOI
10.1007/978-3-031-37966-6_9
Nath, Rajdeep Kumar; Thapliyal, Himanshu; Humble, Travis S.
Springer2024Publications information icon

Software techniques for training restricted Boltzmann machines on size-constrained quantum annealing hardware

Peer-reviewed
Open access
DOI
10.3389/fcomp.2023.1286591
Salmenperä, Ilmo Elias; Nurminen, Jukka K
Frontiers in computer science2023Publications information icon

Scaling and Diabatic Effects in Quantum Annealing with a D-Wave Device

Peer-reviewed
Open access
DOI
10.1103/PhysRevLett.124.090502
Weinberg, Phillip; Tylutki, Marek; Ronkko, Jami M.; Westerholm, Jan; Astrom, Jan A.; Manninen, Pekka...
Physical review letters2020Publications information icon

Thermal annealing effect on 1.3-µm GaInNAs/GaAs quantum well structures capped with dielectric films

Peer-reviewed
DOI
10.1049/ip-opt:20040941
Liu, H.F.; Peng, C.S.; Likonen, Jari; Konttinen, J.; Dhaka, V.D.S.; Tkachenko, N.; Pessa, M.
IEE proceedings: Optoelectronics2004Publications information icon

Influence of nitride and oxide cap layers upon the annealing of 1.3 μm GaInNAs/GaAs quantum wells

Peer-reviewed
DOI
10.1063/1.1687988
Liu, H.F.; Peng, C.S.; Likonen, Jari; Jouhti, T.; Karirinne, S.; Konttinen, J.; Pessa, M.
Journal of Applied Physics2004Publications information icon

Adaptive Learning for Quantum Linear Regression

Peer-reviewed
DOI
10.1109/QCE60285.2024.00186
Carugno, Costantino; Dacrema, Maurizio Ferrari; Cremonesi, Paolo
5th IEEE International Conference on Quantum Computing and Engineering, QCE 20242024Publications information icon

Quantum Annealing Method for Dynamic Virtual Machine and Task Allocation in Cloud Infrastructures from Sustainability Perspective

Peer-reviewed
DOI
10.1109/ICDEW58674.2023.00023
Uotila, Valter; Lu, Jiaheng
IEEE International Conference on Data Engineering Workshops2023Publications information icon

Strain-annealing technique in processing brittle materials

Heinänen, J.
-2000

Towards analyzing large graphs with quantum annealing

Peer-reviewed
Open access
DOI
10.1109/BigData47090.2019.9006174
2019

Optimization in random field Ising models by quantum annealing

Peer-reviewed
DOI
10.1088/1742-5468/2006/01/P01008
2006

Quantum annealing for real-world machine learning applications

Peer-reviewed
DOI
10.1007/978-3-031-37966-6_9
2024

Software techniques for training restricted Boltzmann machines on size-constrained quantum annealing hardware

Peer-reviewed
Open access
DOI
10.3389/fcomp.2023.1286591
2023

Scaling and Diabatic Effects in Quantum Annealing with a D-Wave Device

Peer-reviewed
Open access
DOI
10.1103/PhysRevLett.124.090502
2020

Thermal annealing effect on 1.3-µm GaInNAs/GaAs quantum well structures capped with dielectric films

Peer-reviewed
DOI
10.1049/ip-opt:20040941
2004

Influence of nitride and oxide cap layers upon the annealing of 1.3 μm GaInNAs/GaAs quantum wells

Peer-reviewed
DOI
10.1063/1.1687988
2004

Adaptive Learning for Quantum Linear Regression

Peer-reviewed
DOI
10.1109/QCE60285.2024.00186
2024

Quantum Annealing Method for Dynamic Virtual Machine and Task Allocation in Cloud Infrastructures from Sustainability Perspective

Peer-reviewed
DOI
10.1109/ICDEW58674.2023.00023
2023

Strain-annealing technique in processing brittle materials

2000