v0.11.22

ITensorNetworks v0.11.22

Diff since v0.11.21

Merged pull requests:

• Update to ITensors v0.7, ITensorMPS v0.3 (#209) (@mtfishman)

v0.11.21

ITensorNetworks v0.11.21

Diff since v0.11.20

Merged pull requests:

• CompatHelper: bump compat for SparseArrayKit to 0.4, (keep existing compat) (#206) (@github-actions[bot])

v0.11.20

ITensorNetworks v0.11.20

Diff since v0.11.19

Merged pull requests:

• Switch from OrdinaryDiffEq to OrdinaryDiffEqTsit5 (#205) (@mtfishman)

Closed issues:

• Load OrdinaryDiffEqTsit5 instead of OrdinaryDiffEq in examples and tests (#204)

v0.11.19

ITensorNetworks v0.11.19

Diff since v0.11.18

Merged pull requests:

• CompatHelper: bump compat for IsApprox to 2, (keep existing compat) (#203) (@github-actions[bot])

Closed issues:

• Doubt regarding callable integer in Hamiltonian functions (#202)

v0.11.18

ITensorNetworks v0.11.18

Diff since v0.11.17

Merged pull requests:

• Update KrylovKit compat upper bound to v0.8 (#196) (@mofeing)
• CompatHelper: bump compat for OMEinsumContractionOrders in [weakdeps] to 0.9, (keep existing compat) (#198) (@github-actions[bot])
• CompatHelper: bump compat for IsApprox to 1, (keep existing compat) (#199) (@github-actions[bot])
• Fixes to alternating_update default printing (#201) (@emstoudenmire)

v0.11.17

ITensorNetworks v0.11.17

Diff since v0.11.16

Merged pull requests:

• Add normalize flag in default message update (#195) (@JoeyT1994)

v0.11.16

ITensorNetworks v0.11.16

Diff since v0.11.15

Merged pull requests:

• BP Efficiency Improvement (#194) (@JoeyT1994)

v0.11.15

ITensorNetworks v0.11.15

Diff since v0.11.14

Merged pull requests:

• Fix BP convergence metric for complex networks (#193) (@JoeyT1994)

v0.11.14

ITensorNetworks v0.11.14

Diff since v0.11.13

Merged pull requests:

• copy the state at the beginning of default_inserter (#190) (@emstoudenmire)

Closed issues:

• [BUG] Possible missing copy in default_inserter (#189)

v0.11.13

ITensorNetworks v0.11.13

Diff since v0.11.12

Merged pull requests:

• Add support for Adapt which enables converting tensor networks to GPU (#187) (@mtfishman)