# Aggregation(Batch) Circuit ## Overview Proof aggregation (or batching if there are no connections between the target circuits) in the context of Zero-Knowledge Proofs (ZKP) refers to a method where multiple proofs can be combined into a single, compact proof. This technique is particularly important for scaling blockchain networks and other systems that rely on cryptographic proofs, as it significantly reduces the amount of data that needs to be processed and verified. Aggregating proofs from different systems or protocols can be challenging due to differences in cryptographic assumptions, algorithms, and security models. In this document, when we talk about proof aggregation, we refer to the process of connect or batch multiple proofs of same or different circuits with the same circuit size and same PCS (KZG in particular). ## Verifier circuit The key concept of proof aggregation is how to verify multiple proofs in a single constaint size algorithm. If we relax the requirement of constant size of the verification algorithm, then we might endup with a huge verification cost. A very basic but fundamental idea of proof aggregation is to write the proof verify algorithm in circuit (verification circuit). This technique transform the verification of the initial proof in to verifying the proof of the varification circuit. To verifying multiple proofs $$P\_i$$ of different circuit $$C\_i$$ we can write $$V\_i$$ into circuit and combine them linearly (in circuit) to generate a new circuit that performs the following check. ``` V_0(P_0); V_1(P_1); V_2(P_2); ... V_n(P_n); ``` (Please refer to () for automatically generate verifying-circuit for a given circuit) ## Combine multiple verifier circuits As we know the basic idea of combining the verifier cicuits, we can now define the instances and witness (private instances) of $$V\_i$$. Suppose that $$V\_i$$ is the verification circuit of $$C\_i$$ and $$P\_i$$ is a proof of $$C\_i$$. It follows that the commitment of the instance of $$C\_i$$ becomes the public instance of $$V\_i$$ and $$P\_i$$ becomes the witness of $$V\_i$$ and the verification circuit can be written in a more precise form ``` let pub_instance = comm(P_0.instance), comm(P_1.instance), ... let private_witness = P_0, P_1, ... V_0(c_0 = comm(P_0.instance), P_0); V_1(c_1 = comm(P_1.instance), P_1); ... V_n(c_1 = comm(P_n.instance), P_n); ``` In addition to the above combination, we can also reasoning about the relation ship between $$C\_i$$ by adding constraint about $$P\_i$$. Also, we can add introduce more pub instance for the verification circuit and connect them with $$P\_i$$ by add constraints between $$P\_i$$ and those newly introduced instances. Eventually we get the following: ``` let pub_instance = i0 = comm(P_0.instance), i1 = comm(P_1.instance), ... let extra_instance = i_{n+1}, i_{n+2}, ... let private_witness = P_0, P_1, ... V_0(i_0, P_0); V_1(i_1, P_1); ... V_n(i_n, P_n); extra_constraints(P_0, P_1, P_2, ... P_n, i_{n+1}); ## commitment arithment dsl Theoretically we can put arbitrary constraints to be the extra_constraints in the above verifier circuit. In practical, since we would like to generate the verification circuit automatically, a DSL for configure the extra_constraints becomses a natual choice. ## batching related column for guest circuits ## batching related column for host circuits ## batching related column for itself ``` --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://zkwasmdoc.gitbook.io/delphinus-zkwasm/c3_circuits/c1_circuit/c3_batcher.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.