# Circom frontend > **Note**: Circom frontend will be significantly slower than the Arkworks frontend. We explain below how to implement a custom `step_native` function with your circom circuits to speed things up! Experimental frontend using [arkworks/circom-compat](https://github.com/arkworks-rs/circom-compat). We can define the circuit to be folded in Circom. The only interface that we need to fit in is: ```c template Example(ivc_state_len, aux_inputs_len) { signal input ivc_input[ivc_state_len]; // IVC state signal input external_inputs[aux_inputs_len]; // external inputs, not part of the folding state signal output ivc_output[ivc_state_len]; // next IVC state // here it goes the Circom circuit logic } component main {public [ivc_input]} = Example(); ``` The `ivc_input` is the array that defines the initial state, and the `ivc_output` is the array that defines the output state after the step. Both need to be of the same size. The `external_inputs` array expects auxiliary input values. In the following image, the `ivc_input`=$z_i$, the `external_inputs`=$w_i$, and the `ivc_output`=$z_{i+1}$, and $F$ is the logic of our Circom circuit:


So for example, the following circuit proves (at each folding step) knowledge of $x$ such that $y==x^3 + e_0x + e_1$ for a known $y$ ($e_i$ are the `external_inputs[i]`): ```c pragma circom 2.0.3; template CubicCircuit() { signal input ivc_input[1]; // IVC state signal input external_inputs[2]; // not part of the state signal output ivc_output[1]; // next IVC state signal temp1; signal temp2; temp1 <== ivc_input[0] * ivc_input[0]; temp2 <== ivc_input[0] * external_inputs[0]; ivc_output[0] <== temp1 * ivc_input[0] + temp2 + external_inputs[1]; } component main {public [ivc_input]} = CubicCircuit(); ```

Once your `circom` circuit is ready, you can instantiate it with Sonobe. To do this, you will need the `struct CircomFCircuit`. ```rust // we load our circom compiled R1CS, along with the witness wasm calculator let r1cs_path = PathBuf::from("./src/frontend/circom/test_folder/cubic_circuit.r1cs"); let wasm_path = PathBuf::from("./src/frontend/circom/test_folder/cubic_circuit_js/cubic_circuit.wasm"); let f_circuit_params = (r1cs_path, wasm_path, 1, 2); // state_len:1, external_inputs_len:2 let f_circuit = CircomFCircuit::::new(f_circuit_params).unwrap(); // [optional] to speed things up, you can define a custom step function to avoid // defaulting to the snarkjs witness calculator for the native computations, // which would be slower than rust native operations circom_fcircuit.set_custom_step_native(Rc::new(|_i, z_i, _external| { let z = z_i[0]; Ok(vec![z * z * z + z + Fr::from(5)]) })); pub type N = Nova, KZG<'static, Bn254>, Pedersen, false>; pub type D = DeciderEth< G1, GVar, G2, GVar2, CircomFCircuit, KZG<'static, Bn254>, Pedersen, Groth16, N, >; let poseidon_config = poseidon_canonical_config::(); let mut rng = rand::rngs::OsRng; // prepare the Nova prover & verifier params let nova_preprocess_params = PreprocessorParam::new(poseidon_config, f_circuit.clone()); let nova_params = N::preprocess(&mut rng, &nova_preprocess_params).unwrap(); // initialize the folding scheme engine, in this case we use Nova let mut nova = N::init(&nova_params, f_circuit.clone(), z_0).unwrap(); // run n steps of the folding iteration for (i, external_inputs_at_step) in external_inputs.iter().enumerate() { let start = Instant::now(); // the last parameter at 'nova.prove_step()' is for schemes that support // folding more than 2 instances at each fold, such as HyperNova. Since // we're using Nova, we just set it to 'None' nova.prove_step(rng, external_inputs_at_step.clone(), None) .unwrap(); println!("Nova::prove_step {}: {:?}", i, start.elapsed()); } ``` You can find a full example using Nova to fold a Circom circuit at [sonobe/examples/circom_full_flow.rs](https://github.com/privacy-scaling-explorations/sonobe/blob/main/examples/circom_full_flow.rs).