Update README

README.md

@@ -10,9 +10,9 @@ the automatic deployment of quantum circuits on quantum hardware.
 Some of the key features of Qibolab are:
 
 - Deploy Qibo models on quantum hardware easily.
-- Create custom experimental drivers for custom lab setup.
+- Create experimental drivers for custom lab setup.
 - Support multiple heterogeneous platforms.
-- Use existing calibration procedures for experimentalists.
+- Use calibration procedures from [Qibocal](https://github.com/qiboteam/qibocal).
 
 ## Documentation
 
@@ -25,84 +25,94 @@ The qibolab backend documentation is available at [https://qibo.science/qibolab/
 A simple example on how to connect to a platform and use it execute a pulse sequence:
 
 ```python
-from qibolab import create_platform, ExecutionParameters
-from qibolab.pulses import Pulse, Delay, PulseType
-
-# Define PulseSequence
-sequence = PulseSequence()
-# Add some pulses to the pulse sequence
-sequence.append(
-    Pulse(
-        amplitude=0.3,
-        duration=4000,
-        frequency=200_000_000,
-        relative_phase=0,
-        shape="Gaussian(5)",  # Gaussian shape with std = duration / 5
-        type=PulseType.DRIVE,
-        channel=1,
-    )
-)
-sequence.append(
-    Delay(
-        duration=4000,
-        channel=2,
-    )
-)
-sequence.append(
-    ReadoutPulse(
-        amplitude=0.9,
-        duration=2000,
-        frequency=20_000_000,
-        relative_phase=0,
-        shape="Rectangular",
-        type=PulseType.READOUT,
-        channel=2,
-    )
-)
+from qibolab import create_platform
 
 # Define platform and load specific runcard
 platform = create_platform("my_platform")
 
+# Create a pulse sequence based on native gates of qubit 0
+natives = platform.natives.single_qubit[0]
+sequence = natives.RX() | natives.MZ()
+
 # Connects to lab instruments using the details specified in the calibration settings.
 platform.connect()
 
 # Execute a pulse sequence
-options = ExecutionParameters(nshots=1000)
-results = platform.execute([sequence], options)
+results = platform.execute([sequence], nshots=1000)
 
-# Print the acquired shots
-print(results.samples)
+# Grab the acquired shots corresponding to
+# the measurement using its pulse id.
+# The ``PulseSequence`` structure is list[tuple[ChannelId, Pulse]]
+# thererefore we need to index it appropriately
+# to get the acquisition pulse
+readout_id = sequence.acquisitions[0][1].id
+print(results[readout_id])
 
 # Disconnect from the instruments
 platform.disconnect()
 ```
 
-Here is another example on how to execute circuits:
+Arbitrary pulse sequences can also be created using the pulse API:
 
 ```python
-import qibo
-from qibo import gates, models
+from qibolab import (
+    Acquisition,
+    Delay,
+    Gaussian,
+    Pulse,
+    PulseSequence,
+    Readout,
+    Rectangular,
+)
+
+# Crete some pulses
+pulse = Pulse(
+    amplitude=0.3,
+    duration=40,
+    relative_phase=0,
+    envelope=Gaussian(rel_sigma=0.2),  # Gaussian shape with std = 0.2 * duration
+)
+delay = Delay(duration=40)
+readout = Readout(
+    acquisition=Acquisition(duration=2000),
+    probe=Pulse(
+        amplitude=0.9,
+        duration=2000,
+        envelope=Rectangular(),
+        relative_phase=0,
+    ),
+)
 
+# Add them to a PulseSequence
+sequence = PulseSequence(
+    [
+        (1, pulse),  # pulse plays on channel 1
+        (2, delay),  # delay and readout plays on channel 2
+        (2, readout),
+    ]
+)
+```
+
+Here is another example on how to execute circuits:
+
+```python
+from qibo import gates, models, set_backend
 
-# Create circuit and add gates
+# Create circuit and add native gates
 c = models.Circuit(1)
-c.add(gates.H(0))
-c.add(gates.RX(0, theta=0.2))
-c.add(gates.X(0))
+c.add(gates.GPI2(0, phi=0.2))
 c.add(gates.M(0))
 
 
 # Simulate the circuit using numpy
-qibo.set_backend("numpy")
-for _ in range(5):
-    result = c(nshots=1024)
-    print(result.probabilities())
+set_backend("numpy")
+result = c(nshots=1024)
+print(result.probabilities())
 
 # Execute the circuit on hardware
-qibo.set_backend("qibolab", platform="my_platform")
-for _ in range(5):
-    result = c(nshots=1024)
-    print(result.probabilities())
+set_backend("qibolab", platform="my_platform")
+result = c(nshots=1024)
+print(result.probabilities())
 ```
 
 ## Citation policy

doc/source/index.rst

@@ -23,9 +23,9 @@ Key features
 ------------
 
 * Deploy Qibo models on quantum hardware easily.
-* Create custom experimental drivers for custom lab setup.
+* Create experimental drivers for custom lab setup.
 * Support multiple heterogeneous platforms.
-* Use existing calibration procedures for experimentalists.
+* Use calibration procedures from `Qibocal <https://github.com/qiboteam/qibocal>`_.
 
 How to Use the Documentation
 ============================

src/qibolab/_core/platform/platform.py

@@ -171,14 +171,13 @@ def config(self, name: str) -> Config:
     def connect(self):
         """Connect to all instruments."""
         if not self.is_connected:
-            for instrument in self.instruments.values():
+            for name, instrument in self.instruments.items():
                 try:
-                    log.info(f"Connecting to instrument {instrument}.")
                     instrument.connect()
                 except Exception as exception:
                     raise_error(
                         RuntimeError,
-                        f"Cannot establish connection to {instrument} instruments. Error captured: '{exception}'",
+                        f"Cannot establish connection to instrument {name}. Error captured: '{exception}'",
                     )
         self.is_connected = True