Sketch the implementation of runTheKernel.

Signed-off-by: Eric Schweitz <eschweitz@nvidia.com>

runtime/cudaq/CMakeLists.txt

@@ -17,6 +17,7 @@ add_library(${LIBRARY_NAME}
          SHARED cudaq.cpp 
                 target_control.cpp
                 algorithms/draw.cpp
+                algorithms/run.cpp
                 platform/quantum_platform.cpp
                 qis/execution_manager_c_api.cpp
                 qis/execution_manager.cpp

runtime/cudaq/algorithms/run.cpp

@@ -0,0 +1,28 @@
+/*******************************************************************************
+ * Copyright (c) 2022 - 2025 NVIDIA Corporation & Affiliates.                  *
+ * All rights reserved.                                                        *
+ *                                                                             *
+ * This source code and the accompanying materials are made available under    *
+ * the terms of the Apache License 2.0 which accompanies this distribution.    *
+ ******************************************************************************/
+
+#include "cudaq/algorithms/run.h"
+#include "common/ExecutionContext.h"
+#include "cudaq/simulators.h"
+#include "nvqir/CircuitSimulator.h"
+
+cudaq::details::RunResultSpan cudaq::details::runTheKernel(
+    std::function<void()> &&kernel, quantum_platform &platform,
+    const std::string &kernel_name, std::size_t shots) {
+  // 1. Clear the outputLog.
+  auto *circuitSimulator = nvqir::getCircuitSimulatorInternal();
+  auto *currentContext = circuitSimulator->getExecutionContext();
+  currentContext->outputLog.clear();
+
+  // 2. Launch the kernel on the QPU.
+  // 3. Pass the outputLog to the decoder (target-specific?)
+  // 4. Get the buffer and length of buffer (in bytes) from the decoder.
+  // 5. Clear the outputLog (?)
+  // 6. Pass the span back as a RunResultSpan.
+  return {nullptr, 0};
+}