Index: mlir/lib/Conversion/VectorToArmSME/VectorToArmSME.cpp
===================================================================
--- mlir/lib/Conversion/VectorToArmSME/VectorToArmSME.cpp
+++ mlir/lib/Conversion/VectorToArmSME/VectorToArmSME.cpp
@@ -56,8 +56,6 @@
     if (vType.getScalableDims().size() != 2)
       return failure();
 
-    auto loc = writeOp.getLoc();
-
     if (!llvm::isa<MemRefType>(writeOp.getSource().getType()))
       return failure();
 
@@ -69,10 +67,9 @@
     if (!denseAttr || !isSplatZero(vType.getElementType(), denseAttr))
       return failure();
 
-    auto zero = rewriter.create<arm_sme::ZeroOp>(loc, vType);
-
     rewriter.replaceOpWithNewOp<arm_sme::TileStoreOp>(
-        writeOp, zero, writeOp.getSource(), writeOp.getIndices());
+        writeOp, writeOp.getVector(), writeOp.getSource(),
+        writeOp.getIndices());
     return success();
   }
 };
@@ -109,10 +106,38 @@
   }
 };
 
+/// Conversion pattern for dense arith.constant.
+struct ConstantOpToArmSMELowering : public OpRewritePattern<arith::ConstantOp> {
+  using OpRewritePattern<arith::ConstantOp>::OpRewritePattern;
+
+  LogicalResult matchAndRewrite(arith::ConstantOp constantOp,
+                                PatternRewriter &rewriter) const final {
+    auto vType = dyn_cast<VectorType>(constantOp.getType());
+    if (!vType)
+      return failure();
+    if (vType.getRank() != 2)
+      return failure();
+    if (vType.getShape() != ArrayRef<int64_t>({kMinNumElts, kMinNumElts}))
+      return failure();
+    if (vType.getElementType() != rewriter.getI8Type())
+      return failure();
+    if (vType.getScalableDims().size() != 2)
+      return failure();
+
+    auto denseAttr = dyn_cast<DenseElementsAttr>(constantOp.getValueAttr());
+    if (!denseAttr || !isSplatZero(vType.getElementType(), denseAttr))
+      return failure();
+
+    rewriter.replaceOpWithNewOp<arm_sme::ZeroOp>(constantOp, vType);
+
+    return success();
+  }
+};
+
 } // namespace
 
 void mlir::populateVectorToArmSMEPatterns(RewritePatternSet &patterns,
                                           MLIRContext &ctx) {
   patterns.add<TransferWriteToArmSMELowering, VectorLoadToArmSMELowering,
-               VectorStoreToArmSMELowering>(&ctx);
+               VectorStoreToArmSMELowering, ConstantOpToArmSMELowering>(&ctx);
 }
Index: mlir/test/Dialect/ArmSME/vector-ops-to-sme.mlir
===================================================================
--- mlir/test/Dialect/ArmSME/vector-ops-to-sme.mlir
+++ mlir/test/Dialect/ArmSME/vector-ops-to-sme.mlir
@@ -1,5 +1,4 @@
-// RUN: mlir-opt %s -convert-vector-to-arm-sme -split-input-file | mlir-opt | FileCheck %s
-
+// RUN: mlir-opt %s -convert-vector-to-arm-sme -split-input-file -allow-unregistered-dialect | FileCheck %s
 
 // CHECK-LABEL:   func.func @transfer_write_2d_zero(
 // CHECK-SAME:      %[[ARG_0:.*]]: memref<?x?xi8>) {
@@ -16,6 +15,16 @@
 
 // -----
 
+// CHECK-LABEL: @arith_constant_dense_2d_zero_i8
+// CHECK: %[[ZERO:.*]] = arm_sme.zero : vector<[16]x[16]xi8>
+func.func @arith_constant_dense_2d_zero_i8() {
+  %zero = arith.constant dense<0> : vector<[16]x[16]xi8>
+  "prevent.dce"(%zero) : (vector<[16]x[16]xi8>) -> ()
+  return
+}
+
+// -----
+
 // The following tests check the 'vector.transfer_write' -> 'arm_sme.intr.zero'
 // lowering only occurs for vector types of correct rank, shape, element size
 // and number of scalable dims.
@@ -70,6 +79,7 @@
 
 // CHECK-LABEL: @transfer_write_2d_zero__non_zero_value
 // CHECK: vector.transfer_write
+// CHECK-NOT: arm_sme.zero
 // CHECK-NOT: arm_sme.tile_store
 func.func @transfer_write_2d_zero__non_zero_value(%arg0 : memref<?x?xi8>) {
   %c0 = arith.constant 0 : index