fix(qaas): fix display

pages/quantum-computing/additional-content/aqt-qpus.mdx

@@ -25,14 +25,15 @@ Thanks to its connectivity, the IBEX-Q1 QPU is particularly well suited for:
 The **IBEX-Q1**, or the `QPU-IBEX-12PQ` platform on Scaleway, is AQT's general-purpose quantum processor.
 
 | Platform name | QPU Model | Qubits & Topology | Fidelity Metrics (Avg) | Speed Metrics | Pricing Model |
-| :--- | :--- | :--- | :--- | :--- |
-| **QPU-IBEX-12PQ** | IBEX-Q1 | 12 qubits, All-to-All | 1 gate: 99.97% 2-Gates: 98.7% | 5.5Hz | 0.3€/circuit + 0.021€/shot |
+| :--- | :--- | :--- | :--- | :--- | :--- |
+| **QPU-IBEX-12PQ** | IBEX-Q1 | 12 qubits, All-to-All | 1-gate: 99.97%, 2-gates: 98.7% | 5.5Hz | 0.3€/circuit + 0.021€/shot |
 
 By leveraging the power of **Qiskit Aer** and dedicated resources, we provide digital twins of the IBEX-Q1 quantum computer. This emulation accurately models the all-to-all connectivity and topology of the trapped-ion QPU, offering accessible, cost-effective environments for prototyping and experimentation.
 
-| Platform name | Hardware & emulator | Qubits & topology	| Fidelity metrics	| Pricing model |
-| **EMU-IBEX-12PQ-L4**| L4 GPU, Aer | 12 qubits, All-to-All | 1 gate: 99.97% 2-Gates: 98.7% | 0.75€/hour |
-| **EMU-IBEX-12PQ-16C-128M**| L4 GPU, Aer | 12 qubits, All-to-All | 1 gate: 99.97% 2-Gates: 98.7% | 0.82€/hour |
+| Platform name | Hardware & emulator | Qubits & topology	| Fidelity metrics | Pricing model |
+| :--- | :--- | :--- | :--- | :--- |
+| **EMU-IBEX-12PQ-L4**| L4 GPU, Aer | 12 qubits, All-to-All | 1-gate: 99.97%, 2-gates: 98.7% | 0.75€/hour |
+| **EMU-IBEX-12PQ-16C-128M**| L4 GPU, Aer | 12 qubits, All-to-All | 1-gate: 99.97%, 2-gates: 98.7% | 0.82€/hour |
 
 <Message type="tip">
   Refer to the [How to program AQT processors](/quantum-computing/how-to/use-aqt-qpus) to learn how to use them at Scaleway.

pages/quantum-computing/additional-content/iqm-qpus.mdx

@@ -30,9 +30,9 @@ The table below summarizes the key technical specifications and pricing models f
 
 | Platform name | QPU Model | Qubits & Topology | Fidelity Metrics (Avg)* | Speed Metrics | Benchmarks | Pricing Model |
 | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
-| **QPU-GARNET-20PQ** | Crystal-20 | 20 Qubits [Square grid](https://www.iqmacademy.com/qpu/garnet/) | 1 gate: 99.88% 2-Gates: 99.4% Readout:96.80% | 2600 CLOPS | Qv: 32 Q-score: 15 | 0.22€/circuit + 0.0012€/shot or 2000€/hour |
-| **QPU-SIRIUS-24PQ** | Star-24 | 16 Active (of 24) [Star tpology](https://www.iqmacademy.com/qpu/sirius/) | 1 gate: 99.89% 2-Gates:98.27% Readout:98.05% | 2550 CLOPS | X | 0.2€/circuit + 0.00075€/shot or 1200€/hour |
-| **QPU-EMERALD-54PQ**|  Crystal-54 | 54 Qubits [Square grid](https://www.iqmacademy.com/qpu/emerald/) | 1 gate: 99.8% 2 Gates:98.86% Readout:96.53%  | 2550 CLOPS | Qv: 64  Q-score: 24 | 0.25€/circuit +0.0014€/shot or 3000€/hour |
+| **QPU-GARNET-20PQ** | Crystal-20 | 20 Qubits [Square grid](https://www.iqmacademy.com/qpu/garnet/) | 1-gate: 99.88%, 2-gates: 99.4%, readout: 96.80% | 2600 CLOPS | Qv: 32 Q-score: 15 | 0.22€/circuit + 0.0012€/shot or 2000€/hour |
+| **QPU-SIRIUS-24PQ** | Star-24 | 16 Active (of 24) [Star tpology](https://www.iqmacademy.com/qpu/sirius/) | 1-gate: 99.89%, 2-gates:9 8.27%, readout: 98.05% | 2550 CLOPS | X | 0.2€/circuit + 0.00075€/shot or 1200€/hour |
+| **QPU-EMERALD-54PQ**|  Crystal-54 | 54 Qubits [Square grid](https://www.iqmacademy.com/qpu/emerald/) | 1-gate: 99.8%, 2-gates: 98.86%, readout: 96.53%  | 2550 CLOPS | Qv: 64  Q-score: 24 | 0.25€/circuit +0.0014€/shot or 3000€/hour |
 
 <Message type="note">
   Fidelity metrics are indicative averages.

pages/quantum-computing/additional-content/pasqal-qpus.mdx

@@ -25,14 +25,14 @@ The Pasqal QPUs are particularly well suited for:
 
 Scaleway provides access to Pasqal's "Orion Gamma" generation devices and their digital twins.
 
-* **Fresnel (100 Qubits) QPU allows you to trap and control over 100 atoms. It exploits the **Rydberg blockade** mechanism to create entanglement between atoms.
+* **Fresnel (100 Qubits)** QPU allows you to trap and control over 100 atoms. It exploits the **Rydberg blockade** mechanism to create entanglement between atoms.
 * **Locations:** We provide access to two geographically distinct units:
     * `QPU-FRESNEL-100PQ` (Located in Massy, France)
     * `QPU-DISTRIQ-100PQ` (Located in Sherbrooke, Canada)
     * *Note: Both devices offer similar specifications.*
 
 | Platform name | QPU Model | Qubits & Topology | Speed Metrics | Pricing Model |
-| :--- | :--- | :--- | :--- | :--- | :--- |
+| :--- | :--- | :--- | :--- | :--- |
 | **QPU-FRESNEL-100PQ** | Orion Beta | 100 atoms, 2D layout | shots: 0.25hz | 3.3€/shot (~0.83€/sec) |
 | **QPU-DISTRIQ-100PQ** | Orion Beta | 100 atoms, 2D layout | shots: 0.25hz | 3.3€/shot (~0.83€/sec) |
 

pages/quantum-computing/additional-content/quandela-qpus.mdx

@@ -29,9 +29,9 @@ Scaleway provides access to Quandela's "Mosaiq" generation devices and their dig
 
 | Platform name | QPU Model | Qubits & Topology | Fidelity Metrics (Avg)* | Speed Metrics | Pricing Model |
 | :--- | :--- | :--- | :--- | :--- | :--- |
-| **QPU-ASCELLA-6PQ** | Mosaiq-6 | 6 photons, 12 modes, All-to-All | 1 gate: 99.6% 2 gates: 99% readout: 99% | 4Mhz 144 op/s | 0.3€/circuit + 0.000001€/shot or 750€/hour |
-| **QPU-ALTAIR-10PQ** | Mosaiq-10 | 10 photons, 20 modes,  All-to-All | 1 gate: 99.94% 2 gates: 98.2% readout: 99% | 3Mhz 400 op/s | X | 0.3€/circuit + 0.000001€/shot |
-| **QPU-BELENOS-12PQ** | Mosaiq-12 | 12 photons, 24 modes, Dual-Rail-Encoding,  All-to-All | 1 gate: 99.6% 2 gates: 99% readout: 99% | 3Mhz 576 op/s | X | 0.3€/circuit + 0.000001€/shot or 1000€/hour |
+| **QPU-ASCELLA-6PQ** | Mosaiq-6 | 6 photons, 12 modes, All-to-All | 1-gate: 99.6%, 2-gates: 99%, readout: 99% | 4Mhz 144 op/s | 0.3€/circuit + 0.000001€/shot or 750€/hour |
+| **QPU-ALTAIR-10PQ** | Mosaiq-10 | 10 photons, 20 modes,  All-to-All | 1-gate: 99.94%, 2-gates: 98.2%, readout: 99% | 3Mhz 400 op/s | X | 0.3€/circuit + 0.000001€/shot |
+| **QPU-BELENOS-12PQ** | Mosaiq-12 | 12 photons, 24 modes, Dual-Rail-Encoding,  All-to-All | 1-gate: 99.6%, 2-gates: 99%, readout: 99% | 3Mhz 576 op/s | X | 0.3€/circuit + 0.000001€/shot or 1000€/hour |
 
 Developed by Quandela, exQalibur is a cutting-edge photonic quantum emulator accelerated by Scaleway's most powerful GPUs. This synergy enables large-scale simulations, allowing users to explore complex parameter spaces across 31 photonic qubits at kilohertz rates, accelerating prototyping and optimization of advanced quantum algorithms.
 
@@ -40,7 +40,7 @@ Developed by Quandela, exQalibur is a cutting-edge photonic quantum emulator acc
 | **EMU-SAMPLING-L4** | L4 GPU, exQalibur | 26 photons, hundred modes,  All-to-All | Logical qubits | 1.125€/hour |
 | **EMU-SAMPLING-2L4** | 2x L4 GPU, exQalibur | 27 photons, hundred modes,  All-to-All | Logical qubits | 2.25€/hour |
 | **EMU-SAMPLING-4L4** | 4x L4 GPU, exQalibur | 28 photons, hundred modes,  All-to-All | Logical qubits | 	5.5€/hour |
-| **EMU-SAMPLING-4H100SXM** | 4xH100 SXM GPU, exQalibur | 30 photons, hundred modes,  All-to-All | Logical qubits | 	17.415€/hour |
+| **EMU-SAMPLING-4H100SXM** | 4xH100 SXM GPU, exQalibur | 30 photons, hundred modes,  All-to-All | Logical qubits | 17.415€/hour |
 | **EMU-SAMPLING-8H100SXM** | 8xH100 SXM GPU, exQalibur | 31 photons, hundred modes,  All-to-All | Logical qubits | 34.542€/hour |
 
 ## Perceval: The native SDK for photonic

pages/quantum-computing/concepts.mdx

@@ -47,7 +47,7 @@ A **Platform** is the starting point. It represents a specific combination of ha
 
 ### Session
 A **Session** is a dedicated time interval during which you have access to a specific Platform to execute your code. It acts as a namespace for your work.
-* **Lifecycle:** A session must be explicitly **created** (status: `starting` $\to$ `running`) and **terminated** (status: `stopping` $\to$ `terminated`).
+* **Lifecycle:** A session must be explicitly **created** (status: `starting` to `running`) and **terminated** (status: `stopping` to `terminated`).
 * **Persistence:** Even after a session is terminated, its metadata and the results of the jobs attached to it remain readable (GET/LIST).
 * **Constraint:** Once a session is terminated, it cannot be restarted. You must create a new one.
 

pages/quantum-computing/how-to/use-aer-emulators.mdx

@@ -79,11 +79,11 @@ The following example demonstrates how to run a computation on a Scaleway GPU in
     print("Results:", result)
     ```
 
-4. Save the script. In this example we save it as `computation.py`.
+4. Save the script. In this example we save it as `aer.py`.
 
 5. Run the script.
     ```bash
-    python ~/computation.py
+    python ~/aer.py
     ```
 
 <Message type="tip">

pages/quantum-computing/how-to/use-aqt-qpus.mdx

@@ -51,7 +51,7 @@ Scaleway acts as a bridge, allowing you to run Qiskit circuits directly on AQT's
     )
 
     # 3. Select the Backend
-    # - 'QPU-IBEX-12PQ' : The real hardware (Paid per shot)
+    # - 'QPU-IBEX-12PQ' : The real hardware (Paid per shot + per circuit)
     # - 'EMU-IBEX-12PQ-L4' : The emulator (Digital Twin) running on GPU, billed per minute
     backend_name = "QPU-IBEX-12PQ"
 
@@ -61,9 +61,14 @@ Scaleway acts as a bridge, allowing you to run Qiskit circuits directly on AQT's
 
         # 4. Create a Quantum Circuit (e.g., Bell State)
         # Note: AQT supports all-to-all connectivity, so you don't need to worry about coupling maps.
-        qc = QuantumCircuit(2)
+        max_qubits = 12 # Number of qubits in IBEX-Q1
+        qc = QuantumCircuit(max_qubits)
+
+        # Create a full entangled state between all qubits, e.g., a GHZ state
         qc.h(0)
-        qc.cx(0, 1)
+        for i in range(1, max_qubits):
+          qc.cx(i-1, i)
+
         qc.measure_all()
 
         # 5. No transpilation
@@ -72,7 +77,7 @@ Scaleway acts as a bridge, allowing you to run Qiskit circuits directly on AQT's
         # 6. Execute the Job
         # Warning: On the real QPU, this line triggers billing.
         print("Submitting job...")
-        job = backend.run(qc, shots=100) # IBEX-Q1 handles
+        job = backend.run(qc, shots=100) # IBEX-Q1 runs the circuit with 100 shots
 
         # 7. Retrieve Results
         result = job.result()

pages/quantum-computing/how-to/use-pennylane.mdx

@@ -1,5 +1,5 @@
 ---
-title: Run Quantum Machine Learning using Pennylane and Scaleway
+title: Run Quantum Machine Learning using Pennylane
 description: Explore QML capabilities on a range of devices, using the Pennylane framework.
 tags: aer aqt iqm quantum qiskit pennylane qaas qml ml
 dates:
@@ -129,7 +129,6 @@ with qml.device("scaleway.aer", wires=1, backend="EMU-AER-16C-128M") as dev:
     @qml.set_shots(100)
     @qml.qnode(dev)
     def circuit(params):
-
         qml.RX(params, wires=0)
 
         # Output is 1 for state |0> and -1 for state |1>
@@ -165,7 +164,7 @@ print(f"\nFinal rotation: {params % (2*np.pi):.4f} rad (Target: Pi approx 3.14)"
 
 Gradient descent is handled by PennyLane, even on real hardware, by using tricks such as parameter-shifting.
 
-With a bit of luck you *should* get a result close to $\pi$ radians. The difference is due to a plateau near the optimal solution:
+With a bit of luck you *should* get a result close to pi radians. The difference is due to a plateau near the optimal solution:
 
 ```text
 Initial rotation: 0.0000 rad

pages/quantum-computing/how-to/use-qsim-emulators.mdx

@@ -108,11 +108,11 @@ Scaleway QaaS allows you to scale Qsim beyond your local machine. You can execut
     print("Counts:", job.result().get_counts())
     ```
 
-4. Save the script. In this example we save it as `computation.py`.
+4. Save the script. In this example we save it as `qsim.py`.
 
 5. Run the script.
     ```bash
-    python ~/computation.py
+    python ~/qsim.py
     ```
 
 <Message type="tip">

pages/quantum-computing/how-to/use-quandela-qpus.mdx

@@ -68,11 +68,11 @@ To control these processors (QPUs) and run advanced simulations, Quandela develo
     finally:
         session.stop() # Stops the session
     ```
-4. Save the script. In this example we save it as `percival.py`.
+4. Save the script. In this example we save it as `quandela.py`.
 
 5. Run the script.
     ```bash
-    python ~/percival.py
+    python ~/quandela.py
     ```
 
 ## How to manage a session

pages/quantum-computing/menu.ts

@@ -38,14 +38,18 @@ export const quantumComputingMenu = {
           label: 'Use remote Qsim emulators',
           slug: 'use-qsim-emulators',
         },
+        {
+          label: 'Run Quantum Machine Learning with Pennylane',
+          slug: 'use-qsim-emulators',
+        },
       ],
       label: 'How to',
       slug: 'how-to',
     },
     {
       items: [
         {
-          label: 'Containers API Reference',
+          label: 'QaaS API Reference',
           slug: 'https://www.scaleway.com/en/developers/api/qaas/',
         },
       ],
@@ -69,6 +73,10 @@ export const quantumComputingMenu = {
         {
           label: 'Pasqal QPUs Information',
           slug: 'pasqal-qpus',
+        },
+        {
+          label: 'Quandela QPUs Information',
+          slug: 'quandela-qpus',
         }
       ],
       label: 'Additional Content',