When is the FPGA hardware platform access for the Microsoft QIO solvers in Azure Quantum being deprecated?

kobulloc-MSFT 23,341 Reputation points Microsoft Employee
2022-08-26T17:43:02.32+00:00

What information is there on changes to the FPGA hardware platform access for the Microsoft QIO solvers in Azure Quantum? When are these changes expected to take effect?

Azure Quantum
Azure Quantum
An Azure service that provides quantum computing and optimization solutions.
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  1. kobulloc-MSFT 23,341 Reputation points Microsoft Employee
    2022-08-26T17:48:27.433+00:00

    When is the FPGA hardware platform access for the Microsoft QIO solvers in Azure Quantum being deprecated?
    The FPGA hardware option for Microsoft QIO solvers will be deprecated on August 30th, 2022. To migrate your existing Azure Quantum code to use CPU hardware instead of FPGA, simply remove the platform parameter in your solver declaration. Further details and a code sample can be found in the Simulated Annealing solver documentation:

    To migrate your existing Azure Quantum code to use CPU hardware instead of FPGA, simply remove the platform parameter:

    Python:

    # Code using FPGA solver (parameter-free)    
    solver = SimulatedAnnealing(workspace, timeout=100, seed=22, platform=HardwarePlatform.FPGA)    
        
    # Equivalent code using CPU solver (parameter-free)    
    solver = SimulatedAnnealing(workspace, timeout=100, seed=22)     
        
    # Code using FPGA solver (parameterized)    
    solver = SimulatedAnnealing(workspace, sweeps=2, beta_start=0.1, beta_stop=1, restarts=72, seed=22, platform=HardwarePlatform.FPGA)    
        
    # Equivalent code using CPU solver (parameterized)    
    solver = SimulatedAnnealing(workspace, sweeps=2, beta_start=0.1, beta_stop=1, restarts=72, seed=22)    
    
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