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shockwave-plus/README.md
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 1# Shockwave+
 2
 3## Motivation
 4
 5Field-agnostic proof systems provide efficient proving by allowing *native-field arithmetic.* This property is significant for client-side programmable signatures, zkEVMs, and various other scenarios where proof of statements about primitives traditionally considered "zk-unfriendly" is required.
 6
 7We aim to build a zero-knowledge proof system that is field-agnostic, efficient, and effortlessly composable with a SNARK with $O (1)$ proof size (e.g. Groth16, PLONK) to achieve minimal verification complexity.
 8
 9## Overview
10
11Shockwave is a variant of [Brakedown](https://eprint.iacr.org/2021/1043) that uses Reed-Solomon code instead of a linear-time encodable code. Brakedown has a linear-time prover and is field-agnostic (i.e. works over all finite fields), but its proofs are concretely larger than Shockwave’s. Shockwave provides shorter proofs and lower verification time but requires an FFT-friendly field to achieve $O (n\log{n})$ proving time. 
12
13**Shockwave+** is an extension of Shockwave that works over all finite fields by using [ECFFT](https://arxiv.org/pdf/2107.08473.pdf) instead of FFT for low-degree extension of polynomial evaluations. It inherits the smaller proofs of Shockwave and is also field-agnostic. It uses the EXTEND operation from [ECFFT](https://arxiv.org/pdf/2107.08473.pdf) to run Reed-Solomon encoding in $O (n\log{n})$ time.
14
15### Crates
16
17[shockwave_plus](/shockwave_plus/) contains the prover/verifier for a zero-knowledge proof of R1CS satisfiability. It’s based on the PIOP from [Spartan](https://eprint.iacr.org/2019/550.pdf), and uses the multilinear polynomial commitment scheme implemented in [tensor_pcs](/tensor_pcs/).
18
19The EXTEND operation is implemented in a separate crate [ecfft](https://github.com/DanTehrani/ecfft) and is used in [tensor_pcs](/tensor_pcs/).
20
21### Zero-Knowledge
22
23We use the zero-knowledge sum-check protocol from [Libra](https://eprint.iacr.org/2019/317.pdf) to transform the Spartan PIOP into a zero-knowledge PIOP. And use a technique from [BCG+17](https://eprint.iacr.org/2017/872.pdf) to make the polynomial commitment scheme zero-knowledge.
24
25
26## Benchmarks
27
28TBD
29
30## Future work
31- [ ]  Employ *self-recursion* techniques from [Vortex](https://eprint.iacr.org/2022/1633.pdf)/[Orion](https://eprint.iacr.org/2022/1010.pdf) to make the proofs smaller.
32- [ ]  Support richer frontends (CCS, PLONKish).
33
34## Run tests
35```bash
36cargo test
37```