-
Notifications
You must be signed in to change notification settings - Fork 1
/
Circuit.jl
230 lines (175 loc) · 5.78 KB
/
Circuit.jl
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
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
import Base: push!, length, iterate, IteratorSize, in, adjoint, getindex, show
using Base.Iterators: enumerate, filter
using Combinatorics
export Circuit
export lanes, connectivity, moments
"""
Element{T}
One element of a queue, which contains an element of type `T` and multiple priority numbers.
"""
struct Element{T}
data::T
priority::Vector{Pair{Int,Int}}
end
Element(data::T, priority) where {T} = Element{T}(data, priority)
data(e::Element) = e.data
in(e::Element, head::Vector{Int}) = all(p == head[lane] for (lane, p) in e.priority)
"""
A quantum circuit implementation using multi-priority queues.
- Queues are gate-buffers in qubit lanes.
- Multi-priority numbers can be retrieved procedurally from gate-lanes encoded inside the gates of the queues.
"""
struct Circuit
lanes::Vector{Vector{Element{Gate}}}
Circuit(n::Int) = new(fill(Element[], n))
Circuit(lanes::Vector{Vector{Element{Gate}}}) = new(lanes)
end
"""
lanes(circuit)
Return the number of qubit lanes in a circuit.
"""
lanes(circuit::Circuit) = length(circuit.lanes)
"""
length(circuit)
Return the number of gates in a circuit.
"""
Base.length(circuit::Circuit) = sum(length(lane) for lane in circuit.lanes; init = 0)
"""
isempty(circuit)
Check whether the circuit contains any gate.
"""
Base.isempty(circuit::Circuit) = all(isempty, circuit.lanes)
"""
push!(circuit, gate...)
Appends a gate to the circuit.
"""
Base.push!(circuit::Circuit, gate::Gate) = begin
new_priority = [lane => length(circuit.lanes[lane]) + 1 for lane in lanes(gate)]
el = Element{Gate}(gate, new_priority)
for lane in lanes(gate)
queue = circuit.lanes[lane]
push!(queue, el)
end
end
Base.push!(circuit::Circuit, gates::Gate...) = foreach(g -> push!(circuit, g), gates)
"""
Base.iterate(circuit::Circuit[, state])
Retrieves next gate from `state` by travelling through a topologically sorted path.
# Arguments
- `circuit::Circuit`
- `state` (or head) should be a `NTuple{N, Int}` where `N` is the number of lanes. Each element is a pointer to the next gate on each lane.
"""
Base.iterate(circuit::Circuit, state = fill(1, lanes(circuit))) = begin
# retrieve gates on the edge of the cut
candidates =
enumerate(state) |>
(x -> filter(y -> ((lane, head) = y; head <= length(circuit.lanes[lane])), x)) .|>
(x -> begin
lane, i = x
circuit.lanes[lane][i]
end)
if isempty(candidates)
return nothing
end
# choose first valid gate
winner = reduce(filter(x -> x ∈ state, candidates)) do a, b
if mapreduce(x -> x[2], max, a.priority) <= mapreduce(x -> x[2], max, b.priority)
return a
else
return b
end
end
# update head by advancing cut on involved lanes
for (lane, priority) in winner.priority
state[lane] = priority + 1
end
(data(winner), state)
end
Base.IteratorSize(::Type{Circuit}) = Base.HasLength()
"""
Base.adjoint(circuit)
Retrieve the adjoint circuit which fulfills the following equality.
```julia
circuit * circuit' == I(n)
```
# Notes
If all gates are hermitian, then the following equality also holds.
```julia
circuit * circuit' == circuit' * circuit == I(n)
```
"""
Base.adjoint(circuit::Circuit) = begin
lanes = [
reverse([
Element{Gate}(data(el)', [laneid => length(circuit.lanes[laneid]) - p + 1 for (laneid, p) in el.priority]) for el in lane
]) for lane in circuit.lanes
]
Circuit(lanes)
end
"""
Base.getindex(circuit, lane, index)
Retrieve gate at lane `lane` and depth `index`.
"""
Base.getindex(circuit::Circuit, lane, index) = data(circuit.lanes[lane][index])
Base.show(io::IO, circuit::Circuit) = print(io, "Circuit(#lanes=$(lanes(circuit)), #gates=$(length(circuit)))")
"""
connectivity([f,] circuit)
Generate connectivity graph between qubits.
# Arguments
- f: Function to filter gates from circuit.
- circuit: Circuit.
"""
function connectivity end
connectivity(circuit::Circuit) = connectivity(gate -> length(lanes(gate)) >= 2, circuit)
"""
moments(circuit)
Return moments (lists of gates that _can_ execute at the same time) of the circuit.
"""
function moments(circuit::Circuit)
m = [Gate[]]
for gate in circuit
if isempty(last(m)) || isdisjoint(lanes(gate), ∪(lanes.(last(m))...))
push!(last(m), gate)
else
push!(m, [gate])
end
end
return m
end
"""
hcat(circuits::Circuit...)
Join circuits in the temporal dimension.
"""
function Base.hcat(circuits::Circuit...)
!allequal(lanes(circuit) for circuit in circuits) && throw(DimensionMismatch("circuits must have same lanes"))
reduce(map(x -> x.lanes, circuits)) do acc, circuit
map(zip(acc, circuit)) do (acclane, lane)
offset = length(acclane)
return [acclane..., map(lane) do el
priority = [k => v + offset for (k, v) in el.priority]
return Element{Gate}(data(el), priority)
end...]
end
end |> Circuit
end
"""
vcat(circuits::Circuit...)
Join circuits in the spatial dimension.
"""
function Base.vcat(circuits::Circuit...)
offsets = [0, cumsum(lanes.(circuits))[1:end-1]...]
mapreduce(vcat, zip(offsets, circuits)) do (offset, circuit)
map(circuit.lanes) do lane
map(enumerate(lane)) do (i, el)
priority = [k + offset => v for (k, v) in el.priority]
gate = data(el)
if isparametric(gate)
gate = typeof(gate)((lanes(gate) .+ offset)..., parameters(gate))
else
gate = typeof(gate)((lanes(gate) .+ offset)...)
end
return Element{Gate}(gate, priority)
end
end
end |> Circuit
end