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Simulate circuits containing PauliMeasurements using PauliFrames (#412)
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Co-authored-by: Stefan Krastanov <[email protected]>
Co-authored-by: Stefan Krastanov <[email protected]>
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3 people authored Dec 21, 2024
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8 changes: 6 additions & 2 deletions CHANGELOG.md
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# News

## v0.9.15 - 2024-12-22

- `pftrajectories` now supports fast multiqubit measurements with `PauliMeasurement` in addition to the already supported single qubit measurements `sMX/Z/Y` and workarounds like `naive_syndrome_circuit`.

## v0.9.14 - 2024-11-03

- **(fix)** `affectedqubits()` on `sMX`, `sMY`, and `sMR*`
Expand Down Expand Up @@ -75,7 +79,7 @@
- Gate errors are now conveniently supported by the various ECC benchmark setups in the `ECC` module.
- Significant improvements to the low-level circuit compiler (the sumtype compactifier), leading to faster Pauli frame simulation of noisy circuits.
- Bump `QuantumOpticsBase.jl` package extension compat bound.
- **(fix)** Remove printing of spurious debug info from the PyBP decoder.
- **(fix)** Remove printing of spurious debug info from the PyBP decoder.
- **(fix)** Failed compactification of gates now only raises a warning instead of throwing an error. Defaults to slower non-compactified gates.

## v0.9.3 - 2024-04-10
Expand All @@ -93,7 +97,7 @@
- Implemented `iscss` function to identify whether a given code is known to be a CSS (Calderbank-Shor-Steane) code.
- Added the classical Reed-Muller code in the ECC module.
- Added the surface code to the ECC module.

## v0.9.0 - 2024-03-19

- **(breaking)** The defaults in `random_pauli` are now `realphase=true` and `nophase=true`.
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2 changes: 1 addition & 1 deletion Project.toml
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@@ -1,7 +1,7 @@
name = "QuantumClifford"
uuid = "0525e862-1e90-11e9-3e4d-1b39d7109de1"
authors = ["Stefan Krastanov <[email protected]> and QuantumSavory community members"]
version = "0.9.14"
version = "0.9.15"

[deps]
Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
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25 changes: 23 additions & 2 deletions src/pauli_frames.jl
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Expand Up @@ -11,12 +11,14 @@ struct PauliFrame{T,S} <: AbstractQCState
measurements::S # TODO check if when looping over this we are actually looping over the fast axis
end

nqubits(f::PauliFrame) = nqubits(f.frame)
nqubits(f::PauliFrame) = nqubits(f.frame) - 1 # dont count the ancilla qubit
Base.length(f::PauliFrame) = size(f.measurements, 1)
Base.eachindex(f::PauliFrame) = 1:length(f)
Base.copy(f::PauliFrame) = PauliFrame(copy(f.frame), copy(f.measurements))
Base.view(frame::PauliFrame, r) = PauliFrame(view(frame.frame, r), view(frame.measurements, r, :))

tab(f::PauliFrame) = Tableau(f.frame.tab.phases, nqubits(f), f.frame.tab.xzs)

fastrow(s::PauliFrame) = PauliFrame(fastrow(s.frame), s.measurements)
fastcolumn(s::PauliFrame) = PauliFrame(fastcolumn(s.frame), s.measurements)

Expand All @@ -26,7 +28,8 @@ $(TYPEDSIGNATURES)
Prepare an empty set of Pauli frames with the given number of `frames` and `qubits`. Preallocates spaces for `measurement` number of measurements.
"""
function PauliFrame(frames, qubits, measurements)
stab = fastcolumn(zero(Stabilizer, frames, qubits)) # TODO this should really be a Tableau
# one extra qubit for ancilla measurements
stab = fastcolumn(zero(Stabilizer, frames, qubits + 1)) # TODO this should really be a Tableau
bits = zeros(Bool, frames, measurements)
frame = PauliFrame(stab, bits)
initZ!(frame)
Expand Down Expand Up @@ -112,6 +115,24 @@ function apply!(frame::PauliFrame, op::sMRZ) # TODO sMRY, and faster sMRX
return frame
end

function apply!(frame::PauliFrame, op::PauliMeasurement)
# this is inspired by ECC.naive_syndrome_circuit
n = nqubits(op.pauli)
for qubit in 1:n
if op.pauli[qubit] == (1, 0)
apply!(frame, sXCZ(qubit, n + 1))
elseif op.pauli[qubit] == (0, 1)
apply!(frame, sCNOT(qubit, n + 1))
elseif op.pauli[qubit] == (1, 1)
apply!(frame, sYCX(qubit, n + 1))
end
end
op.pauli.phase[] == 0 || apply!(frame, sX(n + 1))
apply!(frame, sMRZ(n + 1, op.bit))

return frame
end

function applynoise!(frame::PauliFrame,noise::UnbiasedUncorrelatedNoise,i::Int)
p = noise.p
xzs = tab(frame.frame).xzs
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6 changes: 6 additions & 0 deletions src/sumtypes.jl
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Expand Up @@ -223,6 +223,12 @@ function concrete_typeparams(t::Type{NoiseOp})
]
end

function concrete_typeparams(::Type{PauliMeasurement})
return [
(Array{UInt8,0}, Vector{UInt64}),
]
end


# XXX This has to happen after defining all the `concrete_typeparams` methods

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34 changes: 33 additions & 1 deletion test/test_bitpack.jl
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@@ -1,6 +1,6 @@
@testitem "Alternative bit packing" tags=[:bitpack] begin
using Random
using QuantumClifford: Tableau
using QuantumClifford: Tableau, mul_left!

@testset "alternative bit packing" begin
for n in [1,3] # can not go higher than 4 (limitation from SIMD acting on transposed/strided arrays)
Expand All @@ -20,6 +20,8 @@
after_cliff = stab_to_gf2(_after_clif);
after_cliff_phases = phases(_after_clif);

after_mul = stab_to_gf2(mul_left!(copy(s64), p64))

for int in [UInt8, UInt16, UInt32, UInt64]
p = PauliOperator(p64.phase, N, collect(reinterpret(int,p64.xz)));
xzs = collect(reinterpret(int, collect(xzs64)));
Expand All @@ -45,8 +47,38 @@
@test after_cliff == stab_to_gf2(after_clifford)
@test after_cliff_phases == phases(after_clifford)
end

@test after_mul == stab_to_gf2(mul_left!(copy(s), p))
end
end
end
end

@testset "fast column and fast row mul_left correctness" begin
reinterpret_stab(s) = Stabilizer(Tableau(copy(phases(s)), nqubits(s), collect(reinterpret(UInt8, collect(s.tab.xzs)))))
reinterpret_p(p) = PauliOperator(p.phase, nqubits(p), collect(reinterpret(UInt8, p.xz)))
for N in [7,8,9,33,61,62,63,64,65,66]

s0 = random_stabilizer(2,N)
p = random_pauli(N)
s = copy(s0)
sr = QuantumClifford.fastrow(copy(s))
sc = QuantumClifford.fastcolumn(copy(s))

mul_left!(s, p)
mul_left!(sr, p)
mul_left!(sc, p)

s8 = reinterpret_stab(copy(s0))
s8r = QuantumClifford.fastrow(copy(s8))
s8c = QuantumClifford.fastcolumn(copy(s8))
p8 = reinterpret_p(copy(p))
mul_left!(s8, p8)
mul_left!(s8r, p8)
mul_left!(s8c, p8)

@test stab_to_gf2(s) == stab_to_gf2(sr) == stab_to_gf2(sc) == stab_to_gf2(s8) == stab_to_gf2(s8r) == stab_to_gf2(s8c)
end
end
end
end
3 changes: 3 additions & 0 deletions test/test_ecc_base.jl
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Expand Up @@ -160,11 +160,14 @@ const code_instance_args = Dict(

function all_testablable_code_instances(;maxn=nothing)
codeinstances = []
i = 1
for t in subtypes(QuantumClifford.ECC.AbstractECC)
for c in get(code_instance_args, t.name.name, [])
codeinstance = t(c...)
!isnothing(maxn) && nqubits(codeinstance) > maxn && continue
push!(codeinstances, codeinstance)
#@show i, t, code_n(codeinstance), code_k(codeinstance), code_s(codeinstance), code_n(codeinstance)-code_k(codeinstance)
i += 1
end
end
return codeinstances
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27 changes: 24 additions & 3 deletions test/test_ecc_syndromes.jl
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Expand Up @@ -5,6 +5,11 @@

include("test_ecc_base.jl")

using QuantumClifford: Tableau
reinterpret_frame(frame) = PauliFrame(reinterpret_stab(frame.frame), copy(frame.measurements))
reinterpret_stab(s) = Stabilizer(Tableau(copy(phases(s)), nqubits(s), collect(reinterpret(UInt8, collect(s.tab.xzs)))[[1:1+(nqubits(s)-1)÷8;end÷2+1:end÷2+1+(nqubits(s)-1)÷8],:]))
reinterpret_p(p) = PauliOperator(p.phase, nqubits(p), collect(reinterpret(UInt8, p.xz))[[1:1+(nqubits(p)-1)÷8;end÷2+1:end÷2+1+(nqubits(p)-1)÷8]])

function pframe_naive_vs_shor_syndrome(code)
ecirc = naive_encoding_circuit(code)
naive_scirc, naive_ancillaries = naive_syndrome_circuit(code)
Expand All @@ -30,19 +35,35 @@
pftrajectories(shor_frames, vcat(ecirc, shor_cat_scirc))
# manually injecting the same type of noise in the frames -- not really a user accessible API
p = random_pauli(dataqubits, realphase=true)
pₙ = embed(naive_qubits, 1:dataqubits, p)
pₛ = embed(shor_qubits, 1:dataqubits, p)
pₙ = embed(naive_qubits+1, 1:dataqubits, p) # +1 to account for the buffer qubit hidden in pauli frames
pₛ = embed(shor_qubits+1, 1:dataqubits, p) # +1 to account for the buffer qubit hidden in pauli frames
mul_left!(naive_frames.frame, pₙ)
mul_left!(shor_frames.frame, pₛ)
# run the syndrome circuits using the public API
pftrajectories(naive_frames, naive_scirc)
pftrajectories(shor_frames, shor_scirc)
@test pfmeasurements(naive_frames) == pfmeasurements(shor_frames)[:,shor_bits]

# just for completeness, let's also try bitpacking in UInt8 instead of the default UInt
_naive_frames = PauliFrame(nframes, naive_qubits, syndromebits)
_shor_frames = PauliFrame(nframes, shor_qubits, last(shor_bits))
naive_uint8 = reinterpret_frame(_naive_frames)
shor_uint8 = reinterpret_frame(_shor_frames)
pftrajectories(naive_uint8, ecirc)
pftrajectories(shor_uint8, vcat(ecirc, shor_cat_scirc))
p_uint8 = reinterpret_p(p)
pₙ_uint8 = embed(naive_qubits+1, 1:dataqubits, p_uint8)
pₛ_uint8 = embed(shor_qubits+1, 1:dataqubits, p_uint8)
mul_left!(naive_uint8.frame, pₙ_uint8)
mul_left!(shor_uint8.frame, pₛ_uint8)
pftrajectories(naive_uint8, naive_scirc)
pftrajectories(shor_uint8, shor_scirc)
@test pfmeasurements(shor_uint8)[:,shor_bits] == pfmeasurements(shor_frames)[:,shor_bits] == pfmeasurements(naive_frames) == pfmeasurements(naive_uint8)
end
end

@testset "naive and shor measurement circuits" begin
for c in all_testablable_code_instances()
for (i,c) in enumerate(all_testablable_code_instances())
pframe_naive_vs_shor_syndrome(c)
end
end
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25 changes: 25 additions & 0 deletions test/test_pauliframe.jl
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Expand Up @@ -88,4 +88,29 @@
@test all(0.25.*[1 0 0 0 1] .<= (sum(m, dims=1)[:,1:5])./n .<= 0.75.*[1 0 0 0 1])
end
end

@testset "PauliMeasurements" begin
n = 2000
state = Register(one(MixedDestabilizer, 3), 5)
frame = PauliFrame(n, 3, 5)

glassy_ghz_circuit = [
sHadamard(1), sHadamard(2), sHadamard(3),
PauliMeasurement(P"ZZ_", 1), PauliMeasurement(P"_ZZ", 2),
sMZ(1, 3), sMZ(2, 4), sMZ(3, 5)
]
for m in [pfmeasurements(pftrajectories(copy(frame), glassy_ghz_circuit)),
pfmeasurements(pftrajectories(glassy_ghz_circuit; trajectories=n, threads=false)),
pfmeasurements(pftrajectories(glassy_ghz_circuit; trajectories=n, threads=true))]

# decode based on measurement outcomes
for r in eachrow(m)
r[4] ⊻= r[1]
r[5] ⊻= r[1] r[2]
end

# check that the correct correlations are present
@test all(m[:, 3] .== m[:, 4] .== m[:, 5])
end
end
end

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Registration pull request created: JuliaRegistries/General/121805

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## Breaking changes

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Tagging

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This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.9.15 -m "<description of version>" c6bc6ee21b60656007533b99771649f97ba42cb5
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