Adaptive step-size Commutator free exponential solver (ACFET) #588
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1) moving Hamiltonian/StepHamiltonian and ThreadedMatrix to Operator module 2) moving all linalg associate to 1) are moving to Operator module.
1) move linalg related to elementary structs (PermMatrix,Diagonal,SparseMatrixCSR/CSC) to Lowlevel/backends/ 2) rename module Operator -> Lowlevel to avoid confusion with Yao 3) rename test/linalg.jl to test/linalg_mul.jl 4) [FIX] mul! testing case for ParallelMergeCSR is not properly dispatched. 5) add trace() and bind to LinearAlgebra.tr() for PermMatrix,Diagonal and SparseMatrixCSR/CSC 6) add test/linalg_tr.jl for testing tr()
1) add precision_type() for Hamiltonian/StepHamiltonian 2) add highest_type() for Hamiltonian/StepHamiltonian
2) move linalg associate to Hamiltonian etc to linalg.jl
1) Remove StepHamiltonian 2) Rename ValHamiltonian -> SumOfLinop
1) Add expm_multiply, tested but this version consume more memory 2) Add get_optimal_sm() to get the optimal s and m_star. currently the one norm of power p is get exactly, not estimate (need to implement one norm est !
1) add onenormest() using block algorithm for 1 norm estimation
1) swap out the onenorm in expm_multiply using onenormest() 2) reinstat all the testing cases. 3) checking testing of expm_multiply
…nian 2) change test, linalg, size, types related to accomadate change.
… of AbstractMatrix. 2) modify parts to accompany change of SumOfLinop
1) additional field types for SumOfLinop Hermitian, SkewHermitian and RegularLinop 2) adjoint, Base.:*, add_I for lazy evaluate in the case input is Hermitian/SkewHermitian
1) this is dirty version. need to be clean 2) fix the bug in calculating h in onenormest
1) fix bug in precision_type/highest_type/eltype for SumOfLinop by considering also dtype of fvals 2) add testing case for expm_multiply backend 3) add expmv_backend as additional options, and update docstring. 4) fix bug in get_optimal_sm when t is negative.
1) add FowardDiff in BloqadeExpr 2) add derivative(H,t) for calculating Hamiltonian H'(t) 3) add testing case
…into khwu/expm_multiply
…g/Bloqade.jl into khwu/expm_multiply
* Refactor Expr 1) moving Hamiltonian/StepHamiltonian and ThreadedMatrix to Operator module 2) moving all linalg associate to 1) are moving to Operator module. * BloqadeExpr Change 1) move linalg related to elementary structs (PermMatrix,Diagonal,SparseMatrixCSR/CSC) to Lowlevel/backends/ 2) rename module Operator -> Lowlevel to avoid confusion with Yao 3) rename test/linalg.jl to test/linalg_mul.jl 4) [FIX] mul! testing case for ParallelMergeCSR is not properly dispatched. 5) add trace() and bind to LinearAlgebra.tr() for PermMatrix,Diagonal and SparseMatrixCSR/CSC 6) add test/linalg_tr.jl for testing tr() * Get types info on Hamiltonain 1) add precision_type() for Hamiltonian/StepHamiltonian 2) add highest_type() for Hamiltonian/StepHamiltonian * add overload for SparseMatrixCSR, and remove redundant print * Move ValHamiltionain from BloqadeKrylov to BloqadeExpr.Lowlevel * 1) Add more testing cases for ValHamiltonian 2) move linalg associate to Hamiltonian etc to linalg.jl * fix ASCII for '-' causing error on julia-v1.6 * Simplify Lowlevel data structure 1) Remove StepHamiltonian 2) Rename ValHamiltonian -> SumOfLinop * 1) remove BloqadeKrylov from toml 2) remove redundant comments --------- Co-authored-by: Kai-Hsin Wu <[email protected]> Co-authored-by: Kai-Hsin Wu <[email protected]>
1) move all derivative of Hamiltonian under ForwardDiff 2) finalize ACFETEvolution interface, which under abstract type ADEvolution (ADaptive Evolution) 3) finish and tested Adaptive step size CFET for CFET2_1
1) fix bug in calculating local error (missing t/(p+1) before) 2) add CFET4_2 options, and the corresponding test
Codecov ReportAttention:
Additional details and impacted files@@ Coverage Diff @@
## master #588 +/- ##
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- Coverage 77.30% 77.28% -0.02%
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Files 93 93
Lines 4609 4610 +1
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Hits 3563 3563
- Misses 1046 1047 +1 ☔ View full report in Codecov by Sentry. |
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This PR is branching from PR #585, which includes adaptive step-size generalization of the existing CFET solver.