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CompatHelper: bump compat for Nemo to 0.40, (keep existing compat) #228

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merged 6 commits into from
Jan 26, 2024
Merged

CompatHelper: bump compat for Nemo to 0.40, (keep existing compat) #228

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9475c02
CompatHelper: bump compat for Nemo to 0.40, (keep existing compat)
Jan 25, 2024
0fea11d
add 0.39 as well
Krastanov Jan 25, 2024
5ef1bcb
more fixes
Krastanov Jan 25, 2024
d034259
trigger ci
Krastanov Jan 26, 2024
b6290cf
fixup
Krastanov Jan 26, 2024
3168bfe
jet relaxation
Krastanov Jan 26, 2024
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6 changes: 3 additions & 3 deletions Project.toml
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Expand Up @@ -33,12 +33,12 @@ QuantumOpticsBase = "4f57444f-1401-5e15-980d-4471b28d5678"

[extensions]
QuantumCliffordGPUExt = "CUDA"
QuantumCliffordLDPCDecodersExt = "LDPCDecoders"
QuantumCliffordMakieExt = "Makie"
QuantumCliffordPlotsExt = "Plots"
QuantumCliffordPyQDecodersExt = "PyQDecoders"
QuantumCliffordQOpticsExt = "QuantumOpticsBase"
QuantumCliffordQuantikzExt = "Quantikz"
QuantumCliffordLDPCDecodersExt = "LDPCDecoders"
QuantumCliffordPyQDecodersExt = "PyQDecoders"

[compat]
CUDA = "4.4.0"
Expand All @@ -53,7 +53,7 @@ LDPCDecoders = "0.1.1"
LinearAlgebra = "1.9"
MacroTools = "0.5.9"
Makie = "0.20"
Nemo = "0.38"
Nemo = "0.38, 0.39, 0.40"
Plots = "1.38.0"
PrecompileTools = "1.2"
PyQDecoders = "0.1.1"
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2 changes: 1 addition & 1 deletion src/entanglement.jl
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Expand Up @@ -201,7 +201,7 @@ function entanglement_entropy(state::AbstractStabilizer, subsystem::AbstractVect
graph = Graphs.Graph(state)
adjmat = Graphs.adjacency_matrix(graph)
other_subsystem = filter(i->!(i in collect(subsystem)), 1:Graphs.nv(graph))
subadjmat = Nemo.matrix(Nemo.residue_ring(Nemo.ZZ, 2), collect(adjmat[subsystem,other_subsystem]))
subadjmat = Nemo.matrix(Nemo.GF(2), collect(adjmat[subsystem,other_subsystem]))
LinearAlgebra.rank(subadjmat)
end

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6 changes: 2 additions & 4 deletions src/randoms.jl
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Expand Up @@ -167,10 +167,8 @@ function precise_inv(a)::Matrix{UInt8}
end

function nemo_inv(a, n)::Matrix{UInt8}
binaryring = Nemo.residue_ring(Nemo.ZZ, 2) # TODO should I use GF(2) instead of ResidueRing(ZZ, 2)?
M = Nemo.matrix_space(binaryring, n, n)
inverted = inv(M(Matrix{Int}(a))) # Nemo is very picky about input data types
return (x->mod(UInt8(x.data),0x2)).(inverted)
inverted = inv(Nemo.matrix(Nemo.GF(2),a))
return collect(UInt8.(inverted.==1)) # maybe there is a better way to do the conversion
end

"""Sample (h, S) from the distribution P_n(h, S) from Bravyi and Maslov Algorithm 1."""
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2 changes: 1 addition & 1 deletion test/test_jet.jl
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Expand Up @@ -36,5 +36,5 @@ end
)
@show rep
@test_broken length(JET.get_reports(rep)) == 0
@test length(JET.get_reports(rep)) <= 20
@test length(JET.get_reports(rep)) <= 25
end
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