Sure, I'd be happy to help you with Grover's search algorithm in Haskell! Grover's algorithm is a quantum algorithm used for searching an unsorted database or an unstructured search space with quadratic speedup compared to classical algorithms.

To implement Grover's algorithm in Haskell, you would typically use a quantum computing library like Quipper or QIO (Quantum IO Monad). Below is a simplified outline of the steps involved in Grover's algorithm:

1. **Initialization**: Prepare the quantum state.
2. **Oracle**: Apply the oracle function that marks the solution.
3. **Diffusion Operator**: Apply the Grover diffusion operator.
4. **Iteration**: Repeat the oracle and diffusion steps a certain number of times.
5. **Measurement**: Measure the quantum state to obtain the result.

Here's a very basic example using Quipper:

```haskell
import Quipper

-- Define the oracle function
oracle :: Qubit -> Circ Qubit
oracle q = do
  qnot q
  return q

-- Define the diffusion operator
diffusion :: [Qubit] -> Circ [Qubit]
diffusion qs = do
  hadamard qs
  qnot qs
  hadamard qs
  return qs

-- Grover's search algorithm
grover :: [Qubit] -> Circ [Qubit]
grover qs = do
  -- Apply Hadamard gates to all qubits
  hadamard qs
  
  -- Apply the oracle
  qs <- mapUnary oracle qs
  
  -- Apply the diffusion operator
  qs <- diffusion qs
  
  return qs

main :: IO ()
main = do
  print_generic Preview grover (replicate 3 qubit)
```

This is a very simplified version and doesn't include all the details needed for a complete implementation. In practice, you would need to define your oracle based on the specific problem you're solving, and you might need to iterate the oracle and diffusion steps multiple times depending on the size of your search space.

If you need more detailed help or have specific questions about parts of the implementation, feel free to ask!