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. Today, on January 7, 2025, I'm excited to share some groundbreaking updates that have unfolded over the past few days.

First off, let's talk about IBM's monumental leap. Just a few days ago, on January 3, IBM announced its plan to unveil the world's largest quantum computer in 2025, featuring over 4,000 qubits. This quantum giant will leverage the IBM Quantum System Two architecture, which was unveiled in December 2023. This modular design strategy will enable the integration of multiple smaller processors to function cohesively as a larger, more powerful system, addressing critical scaling challenges such as qubit coherence and connectivity issues[2].

But that's not all. IBM has also been making waves with its software developments. At the 2023 IBM Quantum Summit, IBM debuted IBM Quantum Heron and extended its roadmap, including the release of Qiskit 1.0 in February 2024. Qiskit 1.0 marks the first stable release of the most popular quantum computing SDK, delivering marked improvements in circuit construction, compilation times, and memory consumption. It also outperforms competing compilation frameworks in both runtime and resultant two-qubit gate counts when mapping circuits to quantum hardware[3].

Moreover, IBM introduced Qiskit Patterns, a programming template that outlines the structure of quantum programs and provides a logical framework for building quantum algorithms and applications at scale. This allows for targeted quantum acceleration of preexisting enterprise-scale workflows and abstraction away from quantum circuits and operators. With Qiskit Patterns, IBM is also announcing the deployment of Quantum Serverless as beta for managed, unattended execution of Patterns at scale[3].

In addition to IBM's advancements, there are numerous other quantum development tools and SDKs worth exploring. For instance, the guide to the 23 leading quantum computing software of 2025 highlights various tools such as Xanadu for photonic quantum computing, Quantinuum for scalable quantum processing, and QC Ware Forge for accessing diverse quantum resources[1].

As we dive deeper into 2025, it's clear that quantum computing is on the cusp of revolutionizing technology and industry. However, as Dr. Cédric Bourrasset, global head of HPC-AI and Quantum Computing at Eviden, Atos Group, points out, there's a growing skills gap in quantum computing that needs to be addressed through training and collaboration[4].

So, what does this mean for developers? It means we have unprecedented access to quantum computing resources, from IBM's Quantum System Two to various software tools and SDKs. It's time to harness these resources to solve complex business and scientific problems. Let's get coding and make quantum computing a tangible reality for enterprises.

Here's a quick example using Qiskit to create a simple quantum circuit:

```python
from qiskit import QuantumCircuit, execute, Aer

# Create a quantum circuit with 2 qubits and 2 classical bits
qc = QuantumCircuit(2, 2)

# Add a Hadamard gate to the first qubit
qc.h(0)

# Add a CNOT gate between the two qubits
qc.cx(0, 1)

# Measure the qubits
qc.measure([0, 1], [0, 1])

# Execute the circuit on a simulator
simulator = Aer.get_backend('qasm_simulator')
job = execute(qc, simulator)
result = job.result()
counts = result.get_counts(qc)

print(counts)
```

This example demonstrates how to create a simple quantum circuit using Qiskit and execute it on a simulator. It's a starting point for exploring the vast possibilities of quantum computing.

Stay tuned for more updates and practical implementation strategies. Until next time, keep coding quantum.

For more http://www.quietplease.ai


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