benchmarks for decoder and code evaluators

benchmark/Project.toml

@@ -1,5 +1,7 @@
 [deps]
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+LDPCDecoders = "3c486d74-64b9-4c60-8b1a-13a564e77efb"
 Nemo = "2edaba10-b0f1-5616-af89-8c11ac63239a"
+PyQDecoders = "17f5de1a-9b79-4409-a58d-4d45812840f7"
 QuantumClifford = "0525e862-1e90-11e9-3e4d-1b39d7109de1"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"

benchmark/benchmarks.jl

@@ -139,3 +139,20 @@ SUITE["circuitsim"]["mctrajectories_sumtype"]["q101_r1"]    = @benchmarkable mct
 SUITE["circuitsim"]["mctrajectories_sumtype"]["q1001_r1"]   = @benchmarkable mctrajectory!(state, circuit) setup=(state=Register(one(Stabilizer, 1001), [false]); circuit=compactify_circuit(x_diag_circuit(1000))) evals=1
 
 end
+
+
+if V >= v"0.8.20"
+
+SUITE["ecc"] = BenchmarkGroup(["ecc"])
+SUITE["ecc"]["evaluate_decoder"] = BenchmarkGroup(["evaluate_decoder"])
+for (cs, c) in [("shor",Shor9()), ("toric8",Toric(8,8))]
+    for (ds, d) in [
+        [("table",TableDecoder(c)), ("bp",BeliefPropDecoder(c)), ("pybp",PyBeliefPropDecoder(c))]...,
+        (isa(c,Toric) ? [("pymatch",PyMatchingDecoder(c))] : [])...]
+        for (ss, s) in [("comm",CommutationCheckECCSetup(0.01)), ("naivesyn",NaiveSyndromeECCSetup(0.01,0)), ("shorsyn",ShorSyndromeECCSetup(0.01,0))]
+            SUITE["ecc"]["evaluate_decoder"]["$(cs)_$(ds)_$(ss)"] = @benchmark evaluate_decoder($d, $s, 1000)
+        end
+    end
+end
+
+end