Add adaptative rounding in InterpolatedWaveform (#592)

pulser-core/pulser/waveforms.py

@@ -805,12 +805,12 @@ def duration(self) -> int:
     @cached_property
     def _samples(self) -> np.ndarray:
         """The value at each time step that describes the waveform."""
-        return cast(
-            np.ndarray,
-            np.round(
-                self._interp_func(np.arange(self._duration)), decimals=9
-            ),  # Rounds to the order of Hz
-        )
+        samples = self._interp_func(np.arange(self._duration))
+        value_range = np.max(np.abs(samples))
+        decimals = int(
+            min(np.finfo(samples.dtype).precision - np.log10(value_range), 9)
+        )  # Reduces decimal values below 9 for large ranges
+        return cast(np.ndarray, np.round(samples, decimals=decimals))
 
     @property
     def interp_function(

tests/test_waveforms.py

@@ -249,6 +249,12 @@ def test_interpolated():
         interp_wf2.samples, np.linspace(0, 1, num=dt) ** 2, atol=1e-3
     )
 
+    # Test rounding when range of values is large
+    wf = InterpolatedWaveform(
+        1000, times=[0.0, 0.5, 1.0], values=[0, 2.6e7, 0]
+    )
+    assert np.all(wf.samples >= 0)
+
 
 def test_kaiser():
     duration: int = 40