Open clancyras opened 1 month ago
An error arises when running the following code:
# backend.num_qubits == 127 model = MachineModel(backend.num_qubits, gate_set=[ECRGate(), RZGate(), SXGate(), XGate(), IdentityGate()]) with Compiler() as compiler: partitionWorkFlow = [ SetModelPass(model), QuickPartitioner(block_size=3), ForEachBlockPass( IfThenElsePass( WidthPredicate(3), NOOPPass(), QSearchSynthesisPass(instantiate_options={'method': "qfactor", 'multistarts': 4}) ), replace_filter='less-than-respecting-multi' ), UnfoldPass() ] outputScanCircuit = compiler.compile(circuit, partitionWorkFlow)
The following code fixes this issue:
model = MachineModel(backend.num_qubits, gate_set=[ECRGate(), RZGate(), SXGate(), XGate(), IdentityGate()]) layergen = SimpleLayerGenerator(ECRGate(), VariableUnitaryGate(1)) with Compiler() as compiler: # Play around with multistart: 4 or 8 partitionWorkFlow = [ SetModelPass(model), QuickPartitioner(block_size=3), ForEachBlockPass( IfThenElsePass( WidthPredicate(3), NOOPPass(), QSearchSynthesisPass(layer_generator=layergen, instantiate_options={'method': "qfactor", 'multistarts': 4}) ), replace_filter='less-than-respecting-multi' ), UnfoldPass() ] outputScanCircuit = compiler.compile(circuit, partitionWorkFlow)
Can we figure out a way to avoid specifying the layer generator?
An error arises when running the following code:
The following code fixes this issue:
Can we figure out a way to avoid specifying the layer generator?