Optimization providers on Azure Quantum

Azure Quantum offers various optimization targets to solve binary optimization problems on classical CPUs, GPUs, hardware annealers, or hardware accelerated on field-programmable gate arrays (FPGA). There is no one algorithm that fits every optimization problem. Having a full portfolio is important when tuning optimization solutions for the best outcome and the highest impact.

Note

Optimization targets can't run Q# applications or any other type of quantum computing program. Optimization solvers are optimization algorithms that run on specialized classical hardware.

Provider	Description
	1QBit connects intractable industry problems to novel quantum-inspired optimization solutions that utilize the most advanced hardware. For more information, see the 1QBit provider reference page.
	Toshiba’s Simulated Quantum Bifurcation Machine (SQBM+) is a practical and ready-to-use Ising model machine, a software solution to solve large-scale combinatorial optimization problems at high speed. For more information, see the Toshiba SQBM+ provider reference page.
	Microsoft QIO offers ground-breaking optimization algorithms inspired by decades of quantum research. For more information, see the Microsoft QIO provider overview page.

Azure Quantum offers a broad range of solvers for optimization problems. However, it is not possible to determine which solver will perform best for a new optimization problem. You can explore the specifications of each target to develop your strategy, and in Which optimization solver should I use article you can find some guidelines to find a suitable solver by benchmarking.