feat: zk sumcheck

barretenberg/cpp/docs/Doxyfile

@@ -1355,7 +1355,7 @@ HTML_EXTRA_FILES =
 # The default value is: AUTO_LIGHT.
 # This tag requires that the tag GENERATE_HTML is set to YES.
 
-HTML_COLORSTYLE = AUTO_LIGHT
+HTML_COLORSTYLE = TOGGLE
 
 # The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen
 # will adjust the colors in the style sheet and background images according to

barretenberg/cpp/src/barretenberg/flavor/flavor.hpp

@@ -443,6 +443,8 @@ template <typename T> concept IsFoldingFlavor = IsAnyOf<T, UltraFlavor,
                                                            UltraRecursiveFlavor_<CircuitSimulatorBN254>,
                                                            MegaRecursiveFlavor_<UltraCircuitBuilder>,
                                                            MegaRecursiveFlavor_<MegaCircuitBuilder>, MegaRecursiveFlavor_<CircuitSimulatorBN254>>;
+template <typename T>
+concept FlavorHasZK =  T::HasZK;
 
 template <typename Container, typename Element>
 inline std::string flavor_get_label(Container&& container, const Element& element) {

barretenberg/cpp/src/barretenberg/stdlib_circuit_builders/ultra_keccak.hpp

@@ -33,6 +33,8 @@ class UltraKeccakFlavor {
     using CommitmentKey = bb::CommitmentKey<Curve>;
     using VerifierCommitmentKey = bb::VerifierCommitmentKey<Curve>;
 
+    // Indicates that this flavor runs with non-ZK Sumcheck.
+    static constexpr bool HasZK = false;
     static constexpr size_t NUM_WIRES = CircuitBuilder::NUM_WIRES;
     // The number of multivariate polynomials on which a sumcheck prover sumcheck operates (including shifts). We often
     // need containers of this size to hold related data, so we choose a name more agnostic than `NUM_POLYNOMIALS`.
@@ -42,6 +44,8 @@ class UltraKeccakFlavor {
     static constexpr size_t NUM_PRECOMPUTED_ENTITIES = 25;
     // The total number of witness entities not including shifts.
     static constexpr size_t NUM_WITNESS_ENTITIES = 8;
+    // The total number of witnesses including shifts and derived entities.
+    static constexpr size_t NUM_ALL_WITNESS_ENTITIES = 13;
     // Total number of folded polynomials, which is just all polynomials except the shifts
     static constexpr size_t NUM_FOLDED_ENTITIES = NUM_PRECOMPUTED_ENTITIES + NUM_WITNESS_ENTITIES;
 

barretenberg/cpp/src/barretenberg/sumcheck/sumcheck_output.hpp

@@ -1,5 +1,5 @@
 #pragma once
-
+#include "barretenberg/flavor/flavor.hpp"
 #include <array>
 #include <optional>
 #include <vector>
@@ -11,15 +11,34 @@ namespace bb {
  * =(u_0,\ldots, u_{d-1})\f$. These are computed by \ref bb::SumcheckProver< Flavor > "Sumcheck Prover" and need to be
  * checked using Zeromorph.
  */
-template <typename Flavor> struct SumcheckOutput {
+template <typename Flavor, typename = void> struct SumcheckOutput {
     using FF = typename Flavor::FF;
     using ClaimedEvaluations = typename Flavor::AllValues;
     // \f$ \vec u = (u_0, ..., u_{d-1}) \f$
     std::vector<FF> challenge;
-    // Evaluations in \f$ \vec u \f$ of the polynomials used in Sumcheck
+    // Evaluations at \f$ \vec u \f$ of the polynomials used in Sumcheck
     ClaimedEvaluations claimed_evaluations;
     // Whether or not the evaluations of multilinear polynomials \f$ P_1, \ldots, P_N \f$  and final Sumcheck evaluation
     // have been confirmed
     std::optional<bool> verified = false; // optional b/c this struct is shared by the Prover/Verifier
 };
+/**
+ * @brief A modification of SumcheckOutput required by ZK Flavors where a vector of evaluations of Libra univariates is
+ * included.
+ *
+ * @tparam Flavor
+ */
+template <typename Flavor> struct SumcheckOutput<Flavor, std::enable_if_t<FlavorHasZK<Flavor>>> {
+    using FF = typename Flavor::FF;
+    using ClaimedEvaluations = typename Flavor::AllValues;
+    // \f$ \vec u = (u_0, ..., u_{d-1}) \f$
+    std::vector<FF> challenge;
+    // Evaluations at \f$ \vec u \f$ of the polynomials used in Sumcheck
+    ClaimedEvaluations claimed_evaluations;
+    // Include ClaimedLibraEvaluations conditioned on FlavorHasZK concept
+    std::vector<FF> claimed_libra_evaluations;
+    // Whether or not the evaluations of multilinear polynomials \f$ P_1, \ldots, P_N \f$  and final Sumcheck evaluation
+    // have been confirmed
+    std::optional<bool> verified = false; // Optional b/c this struct is shared by the Prover/Verifier
+};
 } // namespace bb

barretenberg/cpp/src/barretenberg/sumcheck/sumcheck_round.hpp

@@ -6,6 +6,7 @@
 #include "barretenberg/relations/relation_types.hpp"
 #include "barretenberg/relations/utils.hpp"
 #include "barretenberg/stdlib/primitives/bool/bool.hpp"
+#include "zk_sumcheck_data.hpp"
 
 namespace bb {
 
@@ -59,9 +60,8 @@ template <typename Flavor> class SumcheckProverRound {
      * "MAX_PARTIAL_RELATION_LENGTH + 1".
      */
     static constexpr size_t BATCHED_RELATION_PARTIAL_LENGTH = Flavor::BATCHED_RELATION_PARTIAL_LENGTH;
-
+    using SumcheckRoundUnivariate = bb::Univariate<FF, BATCHED_RELATION_PARTIAL_LENGTH>;
     SumcheckTupleOfTuplesOfUnivariates univariate_accumulators;
-
     // Prover constructor
     SumcheckProverRound(size_t initial_round_size)
         : round_size(initial_round_size)
@@ -87,7 +87,9 @@ template <typename Flavor> class SumcheckProverRound {
      input in the first round, or from the \ref multivariates table. Using general method
      \ref bb::Univariate::extend_to "extend_to", the evaluations of these polynomials are extended from the
      domain \f$ \{0,1\} \f$ to the domain \f$ \{0,\ldots, D\} \f$ required for the computation of the round univariate.
-
+     * In the case when witness polynomials are masked (ZK Flavors), this method has to distinguish between witness and
+     * non-witness polynomials. The witness univariates obtained from witness multilinears are corrected by a masking
+     * quadratic term extended to the same length MAX_PARTIAL_RELATION_LENGTH.
      * Should only be called externally with relation_idx equal to 0.
      * In practice, #multivariates is either ProverPolynomials or PartiallyEvaluatedMultivariates.
      *
@@ -98,13 +100,33 @@ template <typename Flavor> class SumcheckProverRound {
      */
     template <typename ProverPolynomialsOrPartiallyEvaluatedMultivariates>
     void extend_edges(ExtendedEdges& extended_edges,
-                      const ProverPolynomialsOrPartiallyEvaluatedMultivariates& multivariates,
-                      size_t edge_idx)
+                      ProverPolynomialsOrPartiallyEvaluatedMultivariates& multivariates,
+                      size_t edge_idx,
+                      std::optional<ZKSumcheckData<Flavor>> zk_sumcheck_data = std::nullopt)
     {
-        for (auto [extended_edge, multivariate] : zip_view(extended_edges.get_all(), multivariates.get_all())) {
-            bb::Univariate<FF, 2> edge({ multivariate[edge_idx], multivariate[edge_idx + 1] });
-            extended_edge = edge.template extend_to<MAX_PARTIAL_RELATION_LENGTH>();
-        }
+
+        if constexpr (!Flavor::HasZK) {
+            for (auto [extended_edge, multivariate] : zip_view(extended_edges.get_all(), multivariates.get_all())) {
+                bb::Univariate<FF, 2> edge({ multivariate[edge_idx], multivariate[edge_idx + 1] });
+                extended_edge = edge.template extend_to<MAX_PARTIAL_RELATION_LENGTH>();
+            }
+        } else {
+            // extend edges of witness polynomials and add correcting terms
+            for (auto [extended_edge, multivariate, masking_univariate] :
+                 zip_view(extended_edges.get_all_witnesses(),
+                          multivariates.get_all_witnesses(),
+                          zk_sumcheck_data.value().masking_terms_evaluations)) {
+                bb::Univariate<FF, 2> edge({ multivariate[edge_idx], multivariate[edge_idx + 1] });
+                extended_edge = edge.template extend_to<MAX_PARTIAL_RELATION_LENGTH>();
+                extended_edge += masking_univariate;
+            };
+            // extend edges of public polynomials
+            for (auto [extended_edge, multivariate] :
+                 zip_view(extended_edges.get_non_witnesses(), multivariates.get_non_witnesses())) {
+                bb::Univariate<FF, 2> edge({ multivariate[edge_idx], multivariate[edge_idx + 1] });
+                extended_edge = edge.template extend_to<MAX_PARTIAL_RELATION_LENGTH>();
+            };
+        };
     }
 
     /**
@@ -130,11 +152,13 @@ template <typename Flavor> class SumcheckProverRound {
      method \ref extend_and_batch_univariates "extend and batch univariates".
      */
     template <typename ProverPolynomialsOrPartiallyEvaluatedMultivariates>
-    bb::Univariate<FF, BATCHED_RELATION_PARTIAL_LENGTH> compute_univariate(
+    SumcheckRoundUnivariate compute_univariate(
+        const size_t round_idx,
         ProverPolynomialsOrPartiallyEvaluatedMultivariates& polynomials,
         const bb::RelationParameters<FF>& relation_parameters,
         const bb::PowPolynomial<FF>& pow_polynomial,
-        const RelationSeparator alpha)
+        const RelationSeparator alpha,
+        std::optional<ZKSumcheckData<Flavor>> zk_sumcheck_data = std::nullopt) // only submitted when Flavor HasZK
     {
         BB_OP_COUNT_TIME();
 
@@ -162,8 +186,11 @@ template <typename Flavor> class SumcheckProverRound {
             size_t end = (thread_idx + 1) * iterations_per_thread;
 
             for (size_t edge_idx = start; edge_idx < end; edge_idx += 2) {
-                extend_edges(extended_edges[thread_idx], polynomials, edge_idx);
-
+                if constexpr (!Flavor::HasZK) {
+                    extend_edges(extended_edges[thread_idx], polynomials, edge_idx);
+                } else {
+                    extend_edges(extended_edges[thread_idx], polynomials, edge_idx, zk_sumcheck_data);
+                }
                 // Compute the \f$ \ell \f$-th edge's univariate contribution,
                 // scale it by the corresponding \f$ pow_{\beta} \f$ contribution and add it to the accumulators for \f$
                 // \tilde{S}^i(X_i) \f$. If \f$ \ell \f$'s binary representation is given by \f$ (\ell_{i+1},\ldots,
@@ -180,10 +207,19 @@ template <typename Flavor> class SumcheckProverRound {
         for (auto& accumulators : thread_univariate_accumulators) {
             Utils::add_nested_tuples(univariate_accumulators, accumulators);
         }
-
+        // For ZK Flavors: The evaluations of the round univariates are masked by the evaluations of Libra univariates
+        if constexpr (Flavor::HasZK) {
+            auto libra_round_univariate = compute_libra_round_univariate(zk_sumcheck_data.value(), round_idx);
+            // Batch the univariate contributions from each sub-relation to obtain the round univariate
+            auto round_univariate =
+                batch_over_relations<SumcheckRoundUnivariate>(univariate_accumulators, alpha, pow_polynomial);
+            // Mask the round univariate
+            return round_univariate + libra_round_univariate;
+        }
         // Batch the univariate contributions from each sub-relation to obtain the round univariate
-        return batch_over_relations<bb::Univariate<FF, BATCHED_RELATION_PARTIAL_LENGTH>>(
-            univariate_accumulators, alpha, pow_polynomial);
+        else {
+            return batch_over_relations<SumcheckRoundUnivariate>(univariate_accumulators, alpha, pow_polynomial);
+        }
     }
 
     /**
@@ -263,6 +299,32 @@ template <typename Flavor> class SumcheckProverRound {
         Utils::apply_to_tuple_of_tuples(tuple, extend_and_sum);
     }
 
+    /**
+     * @brief Compute Libra round univariate expressed given by the formula
+    \f{align}{
+        \texttt{libra_round_univariate}_i(k) =
+        \rho \cdot 2^{d-1-i} \left(\sum_{j = 0}^{i-1} g_j(u_{j}) + g_{i,k}+
+        \sum_{j=i+1}^{d-1}\left(g_{j,0}+g_{j,1}\right)\right)
+        =  \texttt{libra_univariates}_{i}(k) + \texttt{libra_running_sum}
+    \f}.
+     *
+     * @param zk_sumcheck_data
+     * @param round_idx
+     */
+    static SumcheckRoundUnivariate compute_libra_round_univariate(ZKSumcheckData<Flavor> zk_sumcheck_data,
+                                                                  size_t round_idx)
+    {
+        SumcheckRoundUnivariate libra_round_univariate;
+        // select the i'th column of Libra book-keeping table
+        auto current_column = zk_sumcheck_data.libra_univariates[round_idx];
+        // the evaluation of Libra round univariate at k=0...D are equal to \f$\texttt{libra_univariates}_{i}(k)\f$
+        // corrected by the Libra running sum
+        for (size_t idx = 0; idx < BATCHED_RELATION_PARTIAL_LENGTH; ++idx) {
+            libra_round_univariate.value_at(idx) = current_column.value_at(idx) + zk_sumcheck_data.libra_running_sum;
+        };
+        return libra_round_univariate;
+    }
+
   private:
     /**
      * @brief In Round \f$ i \f$, for a given point \f$ \vec \ell \in \{0,1\}^{d-1 - i}\f$, calculate the contribution
@@ -295,7 +357,6 @@ template <typename Flavor> class SumcheckProverRound {
                                          const FF& scaling_factor)
     {
         using Relation = std::tuple_element_t<relation_idx, Relations>;
-
         // Check if the relation is skippable to speed up accumulation
         if constexpr (!isSkippable<Relation, decltype(extended_edges)>) {
             // If not, accumulate normally
@@ -310,7 +371,6 @@ template <typename Flavor> class SumcheckProverRound {
                                      scaling_factor);
             }
         }
-
         // Repeat for the next relation.
         if constexpr (relation_idx + 1 < NUM_RELATIONS) {
             accumulate_relation_univariates<relation_idx + 1>(
@@ -340,6 +400,7 @@ template <typename Flavor> class SumcheckVerifierRound {
   public:
     using FF = typename Flavor::FF;
     using ClaimedEvaluations = typename Flavor::AllValues;
+    using ClaimedLibraEvaluations = typename std::vector<FF>;
 
     bool round_failed = false;
     /**
@@ -352,6 +413,7 @@ template <typename Flavor> class SumcheckVerifierRound {
      * MAX_PARTIAL_RELATION_LENGTH "MAX_PARTIAL_RELATION_LENGTH + 1".
      */
     static constexpr size_t BATCHED_RELATION_PARTIAL_LENGTH = Flavor::BATCHED_RELATION_PARTIAL_LENGTH;
+    using SumcheckRoundUnivariate = bb::Univariate<FF, BATCHED_RELATION_PARTIAL_LENGTH>;
 
     FF target_total_sum = 0;
 
@@ -370,7 +432,7 @@ template <typename Flavor> class SumcheckVerifierRound {
      * @param univariate Round univariate \f$\tilde{S}^{i}\f$ represented by its evaluations over \f$0,\ldots,D\f$.
      *
      */
-    bool check_sum(bb::Univariate<FF, BATCHED_RELATION_PARTIAL_LENGTH>& univariate)
+    bool check_sum(SumcheckRoundUnivariate& univariate)
     {
         FF total_sum = univariate.value_at(0) + univariate.value_at(1);
         // TODO(#673): Conditionals like this can go away once native verification is is just recursive verification
@@ -437,7 +499,7 @@ template <typename Flavor> class SumcheckVerifierRound {
      * @param round_challenge \f$ u_i\f$
      * @return FF \f$ \sigma_{i+1} = \tilde{S}^i(u_i)\f$
      */
-    FF compute_next_target_sum(bb::Univariate<FF, BATCHED_RELATION_PARTIAL_LENGTH>& univariate, FF& round_challenge)
+    FF compute_next_target_sum(SumcheckRoundUnivariate& univariate, FF& round_challenge)
     {
         // Evaluate \f$\tilde{S}^{i}(u_{i}) \f$
         target_total_sum = univariate.evaluate(round_challenge);
@@ -473,7 +535,8 @@ template <typename Flavor> class SumcheckVerifierRound {
     FF compute_full_honk_relation_purported_value(ClaimedEvaluations purported_evaluations,
                                                   const bb::RelationParameters<FF>& relation_parameters,
                                                   const bb::PowPolynomial<FF>& pow_polynomial,
-                                                  const RelationSeparator alpha)
+                                                  const RelationSeparator alpha,
+                                                  std::optional<FF> full_libra_purported_value = std::nullopt)
     {
         // The verifier should never skip computation of contributions from any relation
         Utils::template accumulate_relation_evaluations_without_skipping<>(
@@ -482,6 +545,9 @@ template <typename Flavor> class SumcheckVerifierRound {
         FF running_challenge{ 1 };
         FF output{ 0 };
         Utils::scale_and_batch_elements(relation_evaluations, alpha, running_challenge, output);
+        if constexpr (Flavor::HasZK) {
+            output += full_libra_purported_value.value();
+        };
         return output;
     }
 };

barretenberg/cpp/src/barretenberg/sumcheck/zk_sumcheck_data.hpp

@@ -0,0 +1,53 @@
+#pragma once
+
+#include <array>
+#include <optional>
+#include <vector>
+
+namespace bb {
+
+/**
+ * @brief This structure is created to contain various polynomials and constants required by ZK Sumcheck.
+ *
+ */
+template <typename Flavor> struct ZKSumcheckData {
+    using FF = typename Flavor::FF;
+    /**
+     * @brief The total algebraic degree of the Sumcheck relation \f$ F \f$ as a polynomial in Prover Polynomials
+     * \f$P_1,\ldots, P_N\f$.
+     */
+    static constexpr size_t MAX_PARTIAL_RELATION_LENGTH = Flavor::MAX_PARTIAL_RELATION_LENGTH;
+    // The number of all witnesses including shifts and derived witnesses from flavors that have ZK,
+    // otherwise, set this constant to 0.
+    /**
+     * @brief The total algebraic degree of the Sumcheck relation \f$ F \f$ as a polynomial in Prover Polynomials
+     * \f$P_1,\ldots, P_N\f$ <b> incremented by </b> 1, i.e. it is equal \ref MAX_PARTIAL_RELATION_LENGTH
+     * "MAX_PARTIAL_RELATION_LENGTH + 1".
+     */
+    static constexpr size_t BATCHED_RELATION_PARTIAL_LENGTH = Flavor::BATCHED_RELATION_PARTIAL_LENGTH;
+    // Initialize the length of the array of evaluation masking scalars as 0 for non-ZK Flavors and as
+    // NUM_ALL_WITNESS_ENTITIES for ZK FLavors
+    static constexpr size_t MASKING_SCALARS_LENGTH = Flavor::HasZK ? Flavor::NUM_ALL_WITNESS_ENTITIES : 0;
+    // Array of random scalars used to hide the witness info from leaking through the claimed evaluations
+    using EvalMaskingScalars = std::array<FF, MASKING_SCALARS_LENGTH>;
+    // Auxiliary table that represents the evaluations of quadratic polynomials r_j * X(1-X) at 0,...,
+    // MAX_PARTIAL_RELATION_LENGTH - 1
+    using EvaluationMaskingTable = std::array<bb::Univariate<FF, MAX_PARTIAL_RELATION_LENGTH>, MASKING_SCALARS_LENGTH>;
+    // The size of the LibraUnivariates. We ensure that they do not take extra space when Flavor runs non-ZK
+    // Sumcheck.
+    static constexpr size_t LIBRA_UNIVARIATES_LENGTH = Flavor::HasZK ? Flavor::BATCHED_RELATION_PARTIAL_LENGTH : 0;
+    // Container for the Libra Univariates. Their number depends on the size of the circuit.
+    using LibraUnivariates = std::vector<bb::Univariate<FF, LIBRA_UNIVARIATES_LENGTH>>;
+    // Container for the evaluations of Libra Univariates that have to be proven.
+    using ClaimedLibraEvaluations = std::vector<FF>;
+
+    EvalMaskingScalars eval_masking_scalars;
+    EvaluationMaskingTable masking_terms_evaluations;
+    LibraUnivariates libra_univariates;
+    FF libra_scaling_factor{ 1 };
+    FF libra_challenge;
+    FF libra_running_sum;
+    ClaimedLibraEvaluations libra_evaluations;
+};
+
+} // namespace bb