Quantum and quantum-inspired annealers
Realizes: Ising model energy minimization / QUBO optimization
Quantum and quantum-inspired systems for solving combinatorial optimization problems through annealing processes. Includes true quantum annealers (D-Wave) using superconducting qubits and quantum-inspired CMOS implementations (Fujitsu, Toshiba, Hitachi) that simulate annealing dynamics. Speed: microseconds to seconds. Capacity: hundreds to thousands of variables.
Examples
D-Wave Advantage2 Prototype
D-Wave's latest quantum annealer prototype with 500+ qubits and 20-way connectivity using the Zephyr topology, designed for optimization problems
D-Wave Advantage System
Commercial quantum annealer with 5000+ qubits using superconducting flux qubits, available via cloud access for solving combinatorial optimization problems
D-Wave 2000Q
Previous generation D-Wave quantum annealer with 2048 qubits, used in research for solving nurse scheduling, satellite clustering, and other optimization problems
Fujitsu Digital Annealer
Application-specific CMOS hardware for solving fully connected QUBO problems with up to 1024 variables, leveraging massive parallelization available as a cloud service
Toshiba SQBM+ (Simulated Bifurcation Machine)
Quantum-inspired optimization solution based on the Simulated Bifurcation Algorithm, offering combinatorial optimization solving available as a trial on AWS
Hitachi / Tokyo Tech STATICA
Stochastic Cellular Automata Annealer Architecture, a CMOS processor outperforming prior technologies on traveling salesman and portfolio optimization problems