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qnindex.jl
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qnindex.jl
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const QNBlock = Pair{QN,Int64}
const QNBlocks = Vector{QNBlock}
qn(qnblock::QNBlock) = qnblock.first
# Get the dimension of the specified block
blockdim(qnblock::QNBlock) = qnblock.second
NDTensors.resize(qnblock::QNBlock, newdim::Int64) = QNBlock(qnblock.first, newdim)
# Get the dimension of the specified block
blockdim(qnblocks::QNBlocks, b::Integer) = blockdim(qnblocks[b])
blockdim(qnblocks::QNBlocks, b::Block{1}) = blockdim(qnblocks[only(b)])
# Get the QN of the specified block
qn(qnblocks::QNBlocks, b::Integer) = qn(qnblocks[b])
qn(qnblocks::QNBlocks, b::Block{1}) = qn(qnblocks[only(b)])
nblocks(qnblocks::QNBlocks) = length(qnblocks)
function dim(qnblocks::QNBlocks)
dimtot = 0
for (_, blockdim) in qnblocks
dimtot += blockdim
end
return dimtot
end
function -(qnb::QNBlock)
return QNBlock(-qn(qnb), blockdim(qnb))
end
function (qn1::QNBlock + qn2::QNBlock)
qn(qn1) != qn(qn2) && error("Cannot add qn blocks with different qns")
return QNBlock(qn(qn1), blockdim(qn1) + blockdim(qn2))
end
function removeqn(qn_block::QNBlock, qn_name::String)
return removeqn(qn(qn_block), qn_name) => blockdim(qn_block)
end
function -(qns::QNBlocks)
qns_new = copy(qns)
for i in 1:length(qns_new)
qns_new[i] = -qns_new[i]
end
return qns_new
end
function mergeblocks(qns::QNBlocks)
qnsC = [qns[1]]
# Which block this is, after combining
block_count = 1
for i in 2:nblocks(qns)
if qn(qns[i]) == qn(qns[i - 1])
qnsC[block_count] += qns[i]
else
push!(qnsC, qns[i])
block_count += 1
end
end
return qnsC
end
function removeqn(space::QNBlocks, qn_name::String; mergeblocks=true)
space = QNBlocks([removeqn(qn_block, qn_name) for qn_block in space])
if mergeblocks
space = ITensors.mergeblocks(space)
end
return space
end
"""
A QN Index is an Index with QN block storage instead of
just an integer dimension. The QN block storage is a
vector of pairs of QNs and block dimensions.
The total dimension of a QN Index is the sum of the
dimensions of the blocks of the Index.
"""
const QNIndex = Index{QNBlocks}
# Trait for the symmetry type (QN or not QN)
struct HasQNs <: SymmetryStyle end
symmetrystyle(::QNIndex) = HasQNs()
symmetrystyle(::HasQNs, ::HasQNs) = HasQNs()
symmetrystyle(::NonQN, ::NonQN) = NonQN()
symmetrystyle(::HasQNs, ::NonQN) = HasQNs()
symmetrystyle(::NonQN, ::HasQNs) = HasQNs()
hasqns(::QNBlocks) = true
function have_same_qns(qnblocks::QNBlocks)
qn1 = qn(qnblocks, 1)
for n in 2:nblocks(qnblocks)
!have_same_qns(qn1, qn(qnblocks, n)) && return false
end
return true
end
function have_same_mods(qnblocks::QNBlocks)
qn1 = qn(qnblocks, 1)
for n in 2:nblocks(qnblocks)
!have_same_mods(qn1, qn(qnblocks, n)) && return false
end
return true
end
"""
Index(qnblocks::Vector{Pair{QN, Int64}}; dir::Arrow = Out,
tags = "",
plev::Integer = 0)
Construct a QN Index from a Vector of pairs of QN and block
dimensions.
Note: in the future, this may enforce that all blocks have the
same QNs (which would allow for some optimizations, for example
when constructing random QN ITensors).
# Example
```
Index([QN("Sz", -1) => 1, QN("Sz", 1) => 1]; tags = "i")
```
"""
function Index(qnblocks::QNBlocks; dir::Arrow=Out, tags="", plev=0)
# TODO: make this a debug check?
#have_same_qns(qnblocks) || error("When creating a QN Index, the QN blocks must have the same QNs")
#have_same_mods(qnblocks) || error("When creating a QN Index, the QN blocks must have the same mods")
return Index(rand(index_id_rng(), IDType), qnblocks, dir, tags, plev)
end
"""
Index(qnblocks::Vector{Pair{QN, Int64}}, tags; dir::Arrow = Out,
plev::Integer = 0)
Construct a QN Index from a Vector of pairs of QN and block
dimensions.
# Example
```
Index([QN("Sz", -1) => 1, QN("Sz", 1) => 1], "i"; dir = In)
```
"""
function Index(qnblocks::QNBlocks, tags; dir::Arrow=Out, plev::Integer=0)
return Index(qnblocks; dir=dir, tags=tags, plev=plev)
end
"""
Index(qnblocks::Pair{QN, Int64}...; dir::Arrow = Out,
tags = "",
plev::Integer = 0)
Construct a QN Index from a list of pairs of QN and block
dimensions.
# Example
```
Index(QN("Sz", -1) => 1, QN("Sz", 1) => 1; tags = "i")
```
"""
function Index(qnblocks::QNBlock...; dir::Arrow=Out, tags="", plev=0)
return Index([qnblocks...]; dir=dir, tags=tags, plev=plev)
end
dim(i::QNIndex) = dim(space(i))
"""
nblocks(i::QNIndex)
Returns the number of QN blocks, or subspaces, of the QNIndex `i`.
To obtain the dimension of block number `b`, use `blockdim(i,b)`.
To obtain the QN associated with block `b`, use `qn(i,b)`.
### Example
```
julia> i = Index([QN("Sz",-1)=>2, QN("Sz",0)=>4, QN("Sz",1)=>2], "i")
julia> nblocks(i)
3
```
"""
nblocks(i::QNIndex) = nblocks(space(i))
# Define to be 1 for non-QN Index
nblocks(i::Index) = 1
# Get the Block that the index value falls in
# For example:
# qns = [QN(0,2) => 2, QN(0,2) => 2]
# block(qns, 1) == Block(1)
# block(qns, 2) == Block(1)
# block(qns, 3) == Block(2)
# block(qns, 4) == Block(2)
function block(qns::QNBlocks, n::Int)
tdim = 0
for b in 1:nblocks(qns)
tdim += blockdim(qns, Block(b))
(n <= tdim) && return Block(b)
end
error("qn: QN Index value out of range")
return Block(0)
end
function block(iv::Pair{<:Index})
i = ind(iv)
v = val(iv)
return block(space(i), v)
end
# Get the QN of the block
qn(i::QNIndex, b::Block{1}) = qn(space(i), b)
qn(ib::Pair{<:Index,Block{1}}) = qn(first(ib), last(ib))
# XXX: deprecate the Integer version
# Miles asks: isn't it pretty convenient to have it?
"""
qn(i::QNIndex, b::Integer)
Returns the QN associated with block number `b` of
a QNIndex `i`.
### Example
```
julia> i = Index([QN("Sz",-1)=>2, QN("Sz",0)=>4, QN("Sz",1)=>2], "i")
julia> qn(i,1)
QN("Sz",-1)
julia> qn(i,2)
QN("Sz",0)
```
"""
qn(i::QNIndex, b::Integer) = qn(i, Block(b))
# Get the QN of the block the IndexVal lies in
qn(iv::Pair{<:Index}) = qn(ind(iv), block(iv))
flux(i::QNIndex, b::Block{1}) = dir(i) * qn(i, b)
flux(ib::Pair{<:Index,Block{1}}) = flux(first(ib), last(ib))
flux(iv::Pair{<:Index}) = flux(ind(iv), block(iv))
function flux(i::Index, b::Block)
return error(
"Cannot compute flux: Index has no QNs. Try setting conserve_qns=true in siteinds or constructing Index with QN subspaces.",
)
end
qnblocks(i::QNIndex) = space(i)
# XXX: deprecate the Integer version
# Miles asks: isn't the integer version very convenient?
blockdim(i::QNIndex, b::Block) = blockdim(space(i), b)
"""
blockdim(i::QNIndex, b::Integer)
Returns the dimension of block number `b` of
a QNIndex `i`.
### Example
```
julia> i = Index([QN("Sz",-1)=>2, QN("Sz",0)=>4, QN("Sz",1)=>2], "i")
julia> blockdim(i,1)
2
julia> blockdim(i,2)
4
```
"""
blockdim(i::QNIndex, b::Integer) = blockdim(i, Block(b))
function blockdim(i::Index, b::Union{Block,Integer})
return error(
"`blockdim(i::Index, b)` not currently defined for non-QN Index $i of type `$(typeof(i))`. In the future this may be defined for `b == Block(1)` or `b == 1` as `dim(i)` and error otherwise.",
)
end
dim(i::QNIndex, b::Block) = blockdim(space(i), b)
NDTensors.eachblock(i::Index) = (Block(n) for n in 1:nblocks(i))
# Return the first block of the QNIndex with the flux q
function block(::typeof(first), ind::QNIndex, q::QN)
for b in eachblock(ind)
if flux(ind => b) == q
return b
end
end
error("No block found with QN equal to $q")
return Block(0)
end
# Find the first block that matches the pattern f,
# for example `f(blockind) = qn(blockind) == target_qn`.
# `f` accepts a pair of `i => Block(n)` where `n`
# runs over `nblocks(i)`.
function findfirstblock(f, i::QNIndex)
for b in ITensors.eachblock(i)
if f(i => b)
return b
end
end
error("No block of Index $i matching the specified pattern.")
return Block(0)
end
# XXX: call this simply `block` and return a Block{1}
# Deprecate this
"""
qnblocknum(ind::QNIndex, q::QN)
Given a QNIndex `ind` and QN `q`, return the
number of the block (from 1,...,nblocks(ind))
of the QNIndex having QN equal to `q`. Assumes
all blocks of `ind` have a unique QN.
"""
function qnblocknum(ind::QNIndex, q::QN)
for b in 1:nblocks(ind)
if flux(ind => Block(b)) == q
return b
end
end
error("No block found with QN equal to $q")
return 0
end
blockdim(ind::QNIndex, q::QN) = blockdim(ind, block(first, ind, q))
# XXX: deprecate in favor of blockdim
"""
qnblockdim(ind::QNIndex, q::QN)
Given a QNIndex `ind` and QN `q`, return the
dimension of the block of the QNIndex having
QN equal to `q`. Assumes all blocks of `ind`
have a unique QN.
"""
qnblockdim(ind::QNIndex, q::QN) = blockdim(ind, qnblocknum(ind, q))
(dir::Arrow * qnb::QNBlock) = QNBlock(dir * qn(qnb), blockdim(qnb))
function (dir::Arrow * qn::QNBlocks)
# XXX use:
# dir .* qn
qnR = copy(qn)
for i in 1:nblocks(qnR)
qnR[i] = dir * qnR[i]
end
return qnR
end
(qn1::QNBlock * qn2::QNBlock) = QNBlock(qn(qn1) + qn(qn2), blockdim(qn1) * blockdim(qn2))
# TODO: rename tensorproduct with ⊗ alias
function outer(qn1::QNBlocks, qn2::QNBlocks)
qnR = ITensors.QNBlocks(undef, nblocks(qn1) * nblocks(qn2))
for (i, t) in enumerate(Iterators.product(qn1, qn2))
qnR[i] = prod(t)
end
return qnR
end
# TODO: rename tensorproduct with ⊗ alias
function outer(i1::QNIndex, i2::QNIndex; dir=nothing, tags="", plev::Integer=0)
if isnothing(dir)
if ITensors.dir(i1) == ITensors.dir(i2)
dir = ITensors.dir(i1)
else
dir = Out
end
end
newspace = dir * ((ITensors.dir(i1) * space(i1)) ⊗ (ITensors.dir(i2) * space(i2)))
return Index(newspace; dir=dir, tags=tags, plev=plev)
end
# TODO: rename tensorproduct with ⊗ alias
function outer(i::QNIndex; dir=nothing, tags="", plev::Integer=0)
if isnothing(dir)
dir = ITensors.dir(i)
end
newspace = dir * (ITensors.dir(i) * space(i))
return Index(newspace; dir=dir, tags=tags, plev=plev)
end
# TODO: add ⊕ alias
function directsum(
i::Index{Vector{Pair{QN,Int}}}, j::Index{Vector{Pair{QN,Int}}}; tags="sum"
)
dir(i) ≠ dir(j) && error(
"To direct sum two indices, they must have the same direction. Trying to direct sum indices $i and $j.",
)
return Index(vcat(space(i), space(j)); dir=dir(i), tags=tags)
end
isless(qnb1::QNBlock, qnb2::QNBlock) = isless(qn(qnb1), qn(qnb2))
function permuteblocks(i::QNIndex, perm)
qnblocks_perm = space(i)[perm]
return replaceqns(i, qnblocks_perm)
end
function combineblocks(qns::QNBlocks)
perm = sortperm(qns)
qnsP = qns[perm]
qnsC = [qnsP[1]]
comb = Vector{Int}(undef, nblocks(qns))
# Which block this is, after combining
block_count = 1
comb[1] = block_count
for i in 2:nblocks(qnsP)
if qn(qnsP[i]) == qn(qnsP[i - 1])
qnsC[block_count] += qnsP[i]
else
push!(qnsC, qnsP[i])
block_count += 1
end
comb[i] = block_count
end
return qnsC, perm, comb
end
function splitblocks(qns::QNBlocks)
idim = dim(qns)
split_qns = similar(qns, idim)
for n in 1:idim
b = block(qns, n)
split_qns[n] = qn(qns, b) => 1
end
return split_qns
end
# Make a new Index with the specified qn blocks
replaceqns(i::QNIndex, qns::QNBlocks) = setspace(i, qns)
NDTensors.block(i::QNIndex, n::Integer) = space(i)[n]
function setblockdim!(i::QNIndex, newdim::Integer, n::Integer)
qns = space(i)
qns[n] = qn(qns[n]) => newdim
return i
end
function setblockqn!(i::QNIndex, newqn::QN, n::Integer)
qns = space(i)
qns[n] = newqn => blockdim(qns[n])
return i
end
function setblock!(i::QNIndex, b::QNBlock, n::Integer)
qns = space(i)
qns[n] = b
return i
end
function deleteat!(i::QNIndex, pos)
deleteat!(space(i), pos)
return i
end
function resize!(i::QNIndex, n::Integer)
resize!(space(i), n)
return i
end
function combineblocks(i::QNIndex)
qnsR, perm, comb = combineblocks(space(i))
iR = replaceqns(i, qnsR)
return iR, perm, comb
end
removeqns(i::QNIndex) = setdir(setspace(i, dim(i)), Neither)
function removeqn(i::QNIndex, qn_name::String; mergeblocks=true)
return setspace(i, removeqn(space(i), qn_name; mergeblocks))
end
mergeblocks(i::QNIndex) = setspace(i, mergeblocks(space(i)))
function addqns(i::Index, qns::QNBlocks; dir::Arrow=Out)
@assert dim(i) == dim(qns)
return setdir(setspace(i, qns), dir)
end
function addqns(i::QNIndex, qns::QNBlocks)
@assert dim(i) == dim(qns)
@assert nblocks(qns) == nblocks(i)
iqns = space(i)
j = copy(i)
jqn = space(j)
for n in 1:nblocks(i)
@assert blockdim(iqns, n) == blockdim(qns, n)
iqn_n = qn(iqns, n)
qn_n = qn(qns, n)
newqn = iqn_n
for nqv in 1:nactive(qn_n)
qv = qn_n[nqv]
newqn = addqnval(newqn, qv)
end
jqn[n] = newqn => blockdim(iqns, n)
end
return j
end
# Check that the QNs are all the same
function hassameflux(i1::QNIndex, i2::QNIndex)
dim_i1 = dim(i1)
dim_i1 ≠ dim(i2) && return false
for n in 1:dim_i1
flux(i1 => n) ≠ flux(i2 => n) && return false
end
return true
end
hassameflux(::QNIndex, ::Index) = false
hassameflux(::Index, ::QNIndex) = false
# Split the blocks into blocks of size 1 with the same QNs
splitblocks(i::Index) = setspace(i, splitblocks(space(i)))
trivial_space(i::QNIndex) = [QN() => 1]
function mutable_storage(::Type{Order{N}}, ::Type{IndexT}) where {N,IndexT<:QNIndex}
return SizedVector{N,IndexT}(undef)
end
function show(io::IO, i::QNIndex)
idstr = "$(id(i) % 1000)"
if length(tags(i)) > 0
print(
io, "(dim=$(dim(i))|id=$(idstr)|\"$(tagstring(tags(i)))\")$(primestring(plev(i)))"
)
else
print(io, "(dim=$(dim(i))|id=$(idstr))$(primestring(plev(i)))")
end
println(io, " <$(dir(i))>")
for (n, qnblock) in enumerate(space(i))
print(io, " $n: $qnblock")
n < length(space(i)) && println(io)
end
end
function HDF5.write(parent::Union{HDF5.File,HDF5.Group}, name::AbstractString, B::QNBlocks)
g = create_group(parent, name)
attributes(g)["type"] = "QNBlocks"
attributes(g)["version"] = 1
write(g, "length", length(B))
dims = [block[2] for block in B]
write(g, "dims", dims)
for n in 1:length(B)
write(g, "QN[$n]", B[n][1])
end
end
function HDF5.read(
parent::Union{HDF5.File,HDF5.Group}, name::AbstractString, ::Type{QNBlocks}
)
g = open_group(parent, name)
if read(attributes(g)["type"]) != "QNBlocks"
error("HDF5 group or file does not contain QNBlocks data")
end
N = read(g, "length")
dims = read(g, "dims")
B = QNBlocks(undef, N)
for n in 1:length(B)
B[n] = QNBlock(read(g, "QN[$n]", QN), dims[n])
end
return B
end