diff --git a/developer-guide/1.extending-register/main.jl b/developer-guide/1.extending-register/main.jl
index 99d7b59..b63962d 100644
--- a/developer-guide/1.extending-register/main.jl
+++ b/developer-guide/1.extending-register/main.jl
@@ -37,7 +37,7 @@ function Yao.relax!(reg::EchoReg{B}, locs; to_nactive=nqubits(reg)) where {B}
     return true
 end
 
-function Yao.measure!(rng, ::ComputationalBasis, reg::EchoReg{B}, locs) where {B}
+function Yao.measure!(::NoPostProcess, ::ComputationalBasis, reg::EchoReg{B}, locs) where {B}
     println("measure -> $locs")
     return true
 end
diff --git a/quick-start/3.grover-search/main.jl b/quick-start/3.grover-search/main.jl
index 0bd2d21..852597e 100644
--- a/quick-start/3.grover-search/main.jl
+++ b/quick-start/3.grover-search/main.jl
@@ -63,7 +63,7 @@ function single_try(oracle, gen::AbstractBlock{N}, nstep::Int; nbatch::Int) wher
         return r
     end
     reg |> checker
-    res = measure_remove!(reg, (N+1))
+    res = measure!(RemoveMeasured(), reg, (N+1))
     return res, reg
 end
 
@@ -76,7 +76,7 @@ checker = control(num_bit+1,ctrl, num_bit+1=>X)
 
 # The register is batched, with batch dimension `nshot`.
 # [`focus!`](@ref Yao.focus!) views the first 1-N qubts as system.
-# For a batched register, [`measure_remove!`](@ref Yao.measure_remove!)
+# For a batched register, [`measure!`](@ref Yao.measure!)
 # returns a vector of bitstring as output.
 
 # #### Run
diff --git a/quick-start/5.shor-9-code/main.jl b/quick-start/5.shor-9-code/main.jl
index 66de158..9ed6b99 100644
--- a/quick-start/5.shor-9-code/main.jl
+++ b/quick-start/5.shor-9-code/main.jl
@@ -6,6 +6,7 @@
 # which can be constructed by the following code
 
 using Yao
+using SymEngine
 
 shor(E) = chain(9,
     ## encode circuit
diff --git a/quick-start/6.quantum-circuit-born-machine/main.jl b/quick-start/6.quantum-circuit-born-machine/main.jl
index ebfb3ff..9c708bd 100644
--- a/quick-start/6.quantum-circuit-born-machine/main.jl
+++ b/quick-start/6.quantum-circuit-born-machine/main.jl
@@ -199,13 +199,13 @@ end
 
 # Now let's setup the training
 
-using Flux.Optimise
+using Flux: Optimise
 qcbm = build_circuit(6, 10, [1=>2, 3=>4, 5=>6, 2=>3, 4=>5, 6=>1])
 dispatch!(qcbm, :random) # initialize the parameters
 
 κ = RBFKernel(0.25, 0:2^6-1)
 pg = gaussian_pdf(1:1<<6, 1<<5-0.5, 1<<4);
-opt = ADAM()
+opt = Optimise.ADAM()
 
 function train(qcbm, κ, opt, target)
     history = Float64[]