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 |
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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. |
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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.
Coming soon to Azure Quantum
Azure Quantum is a platform for innovation. As the hardware partners across Azure Quantum ecosystem keep growing, you can explore these upcoming quantum-inspired hardware solutions.
| Provider | Description |
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Toshiba’s Simulated Bifurcation Machine (SBM) is a practical and ready-to-use Ising model machine, a software solution to solve large-scale combinatorial optimization problems at high speed. |
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