v1.3.3

update (#67)

v1.3.2

Two-component schedule for tensor-problem evolution

v1.3.1

Implements arbitrary tensors when defining combinatorial optimization problems.

v1.3.0

Added a dispatch to evolve that solves the full set of ODEs instead of approximating via layered evolution.

v1.2.0

update version

v1.1.1

Fix bug in annealing method.

v1.1.0

This update includes the option to perform quantum annealing instead of the QAOA on a given problem, as well as a new structure for our docs, a new section on quantum annealing and one new example notebook.

v1.0.1

This release accompanies the completed review of the software publication at JOSS.

v1.0.0

QAOA v1.0.0

Closed issues:

• Add paper to repo (#1)
• Add option to break Z2 symmetry (#3)
• Add mean-field AOA to package (#5)
• Add Gaussian fluctuations (#7)
• Change mean-field convention to maximization (#9)
• Add mean-field documentation (#11)
• Remove PyCall dependence (#13)
• Update dependencies (#15)
• Resolve Zygote macro warning (#17)
• Finish paper draft (#19)
• Register (#22)

Merged pull requests:

• 1 add paper to repo (#2) (@timbode)
• 3 add option to break z2 symmetry (#4) (@timbode)
• 5 add mean field aoa to package (#6) (@timbode)
• 7 add gaussian fluctuations (#8) (@timbode)
• changed convention from minimization to maximization (#10) (@timbode)
• 11 add mean field documentation (#12) (@timbode)
• 13 remove pycall dependence (#14) (@timbode)
• update (#16) (@timbode)
• replace nograd with ChainRulesCores ignore_derivatives (#18) (@timbode)
• 19 finish paper draft (#20) (@timbode)