File size: 3,487 Bytes
5c61046 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 | # yao_circuit.jl
#
# Circuit simulation utilities for standalone Yao-compatible execution.
# Statevector simulation without external dependencies.
include("yao_types.jl")
using LinearAlgebra
# -----------------------------------------------------------------------
# Statevector Simulation
# -----------------------------------------------------------------------
struct StateVector
n_qubits::Int
amplitudes::Vector{ComplexF64}
end
function StateVector(n_qubits::Int)
amps = zeros(ComplexF64, 2^n_qubits)
amps[1] = 1.0 + 0.0im
return StateVector(n_qubits, amps)
end
function apply_gate!(sv::StateVector, gate::AbstractBlock, target::Int)
mat = gate_matrix(gate)
n = sv.n_qubits
dim = 2^n
for i in 0:dim-1
if (i >> target) & 1 == 0
j = i | (1 << target)
a0 = sv.amplitudes[i+1]
a1 = sv.amplitudes[j+1]
sv.amplitudes[i+1] = mat[1,1] * a0 + mat[1,2] * a1
sv.amplitudes[j+1] = mat[2,1] * a0 + mat[2,2] * a1
end
end
end
function apply_controlled!(sv::StateVector, gate::AbstractBlock, control::Int, target::Int)
mat = gate_matrix(gate)
n = sv.n_qubits
dim = 2^n
for i in 0:dim-1
if ((i >> control) & 1 == 1) && ((i >> target) & 1 == 0)
j = i | (1 << target)
a0 = sv.amplitudes[i+1]
a1 = sv.amplitudes[j+1]
sv.amplitudes[i+1] = mat[1,1] * a0 + mat[1,2] * a1
sv.amplitudes[j+1] = mat[2,1] * a0 + mat[2,2] * a1
end
end
end
# -----------------------------------------------------------------------
# Gate Matrices
# -----------------------------------------------------------------------
function gate_matrix(::H)
s = 1.0/sqrt(2.0)
ComplexF64[s s; s -s]
end
function gate_matrix(::X)
ComplexF64[0 1; 1 0]
end
function gate_matrix(::Y)
ComplexF64[0 -im; im 0]
end
function gate_matrix(::Z)
ComplexF64[1 0; 0 -1]
end
function gate_matrix(::S)
ComplexF64[1 0; 0 im]
end
function gate_matrix(::Sdg)
ComplexF64[1 0; 0 -im]
end
function gate_matrix(::T)
ComplexF64[1 0; 0 exp(im*π/4)]
end
function gate_matrix(::Tdg)
ComplexF64[1 0; 0 exp(-im*π/4)]
end
function gate_matrix(::SX)
ComplexF64[(1+im)/2 (1-im)/2; (1-im)/2 (1+im)/2]
end
function gate_matrix(g::Rz)
θ = g.theta
ComplexF64[exp(-im*θ/2) 0; 0 exp(im*θ/2)]
end
function gate_matrix(g::Ry)
θ = g.theta
c = cos(θ/2)
s = sin(θ/2)
ComplexF64[c -s; s c]
end
function gate_matrix(g::Rx)
θ = g.theta
c = cos(θ/2)
s = sin(θ/2)
ComplexF64[c -im*s; -im*s c]
end
# -----------------------------------------------------------------------
# Measurement
# -----------------------------------------------------------------------
function measure_qubit!(sv::StateVector, target::Int)::Int
n = sv.n_qubits
dim = 2^n
prob_0 = 0.0
for i in 0:dim-1
if (i >> target) & 1 == 0
prob_0 += abs2(sv.amplitudes[i+1])
end
end
outcome = rand() < prob_0 ? 0 : 1
# Collapse
norm_factor = outcome == 0 ? sqrt(prob_0) : sqrt(1.0 - prob_0)
for i in 0:dim-1
bit = (i >> target) & 1
if bit == outcome
sv.amplitudes[i+1] /= norm_factor
else
sv.amplitudes[i+1] = 0.0 + 0.0im
end
end
return outcome
end
function fidelity(sv1::StateVector, sv2::StateVector)::Float64
return abs2(dot(sv1.amplitudes, sv2.amplitudes))
end
|