This is your Quantum Dev Digest podcast.
Hey there, fellow quantum enthusiasts. I'm Leo, your Learning Enhanced Operator, here to bring you the latest from the world of quantum computing. Let's dive right in.
This week has been all about updates and new tools. Starting with Photon Engine's Quantum 3, the latest release notes are packed with exciting features. The introduction of Fusion 2 is a significant highlight, offering a more streamlined and efficient way to handle quantum simulations. For Unity developers, the addition of a text viewer for Quantum QTN assets in the Unity inspector is a welcome addition. Plus, the new `OnlyInPrototype` attribute allows for more flexible state object management[1].
But let's not forget about IBM's quantum roadmap. By 2025, they aim to have model developers exploring quantum applications in machine learning, optimization, and natural sciences. The Qiskit Runtime is getting a boost with threads, enabling parallelized quantum processors and automatic distribution of trivially parallelizable work. Error mitigation and suppression techniques are also on the horizon, laying the groundwork for quantum error correction[2].
Speaking of IBM, the IBM Quantum Developer Conference 2024 was a huge success. Held at the IBM Thomas J. Watson Research Center in Yorktown Heights, N.Y., it brought together developers from around the world to preview updates to the IBM Quantum roadmap and get hands-on demos of state-of-the-art IBM Quantum software tools. The focus on performance by Qiskit highlighted the software stack's industry-leading capabilities for enabling utility-scale work[3].
For those looking to get hands-on experience, NC State's Quantum Updates are worth checking out. The addition of a new 127 qubit backend, ibm_kyoto, and new capabilities from Middleware for Quantum offer a range of tools for building quantum-classical workflows and managing their execution on heterogeneous compute resources[5].
Let's take a look at some practical implementation strategies. For instance, using Quantum 3's new `Frame.AddAsset(AssetObject, AssetGuid)` method, you can add dynamic assets with a GUID known ahead of time. Here's a simple example:
```csharp
using Quantum;
// Create a new asset object
var assetObject = new AssetObject();
// Create a new asset GUID
var assetGuid = new AssetGuid(AssetGuidType.DynamicExplicit);
// Add the asset to the frame
Frame.AddAsset(assetObject, assetGuid);
```
Similarly, with Qiskit Runtime, you can leverage threads to parallelize quantum processors. Here's a basic example:
```python
from qiskit import QuantumCircuit, execute
# Create a quantum circuit
qc = QuantumCircuit(2)
# Add a Hadamard gate
qc.h(0)
# Add a CNOT gate
qc.cx(0, 1)
# Execute the circuit in parallel
job = execute(qc, backend='qasm_simulator', shots=1024, threads=4)
```
That's all for today, folks. Keep exploring, and remember, the quantum future is here. Stay tuned for more updates and insights from the world of quantum computing.
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Dec 17 20243 mins