#qiskit
Oh! I was assuming you were getting outdated code from our model. Despite it may happen, we have measured that most of the times it should give you the right answer (even more when comparing it vs other AI models that are not specialized on Qiskit as you comment)
March 5, 2025 at 5:52 PM
I recently got access to the IBM Granite-Qiskit version and am playing with that. The biggest problem with ALL the models is that Qiskit updated its APIs twice in the last two years, and they train on Github et. al., and most of the code is pre-update.
March 16, 2025 at 7:15 PM
Episode 6 | Quantum Programming with Qiskit |
Today, we take the crucial step from theory to practice.
#qiskit #ibm #quantum #quantumcomputer #computing
youtu.be/EEoYo1vI9v8
Episode 6 | Quantum Programming with Qiskit | #qiskit #ibm #quantum #quantumcomputer #computing
YouTube video by Tech, AI & Beyond
youtu.be
July 23, 2025 at 3:18 AM
Available Models:
• Granite 3.3 8B Qiskit (+ GGUF)
• Granite 3.2 8B Qiskit (+ GGUF)
• Qwen2.5-Coder 14B Qiskit (+ GGUF)

All models are available on Hugging Face and ready for local deployment!
July 8, 2025 at 10:07 AM
qiskit is evolving so fast

it is deprecated on release
October 1, 2025 at 4:55 AM
Qiskit New Version v2.2 SDK with Capability for Quantum-HPC Workflows

Read more:
https://quantumzeitgeist.com/qiskit-v22-sdk/
Qiskit New Version V2.2 SDK With Capability For Quantum-HPC Workflows
The Qiskit Team has released SDK v2.2 in October 2025, featuring significant performance improvements and new capabilities for seamless quantum-centric supercomputing workflows in high-performance computing environments. This update aims to make Qiskit the world's most performant quantum SDK.
quantumzeitgeist.com
October 21, 2025 at 9:26 AM
It also helped improve Qiskit!
February 19, 2025 at 5:57 PM
Still in beta, but looking great with magnetic attachment and all of the little improvements the model team has contributed so far! 👏
Definitely a fun way to experiment with #qiskit on #RaspberryPi.
Announcing what we've been doing this Summer at IBM: a 3D- printed model of the #IBM #Quantum System Two, with a built-in #RaspberryPi running #qiskit quantum software.
Major kudos to @ericjenney.bsky.social and @janlahmann.bsky.social :)
Still in beta, but...
github.com/JanLahmann/R...
December 12, 2024 at 4:47 PM
make the relation between the input and output of these cryptographic algorithms in quantum circuits. Also, these algorithms are tested on current quantum simulators such as Qiskit, where memory constraints and limited processing power are hurdles. [2/4 of https://arxiv.org/abs/2503.06566v1]
March 11, 2025 at 6:57 AM
implementations and optimization strategies. Therefore, we introduce Q-Gear, a software framework that transforms Qiskit quantum circuits into Cuda-Q kernels. By leveraging Cuda-Q seamless execution on GPUs, Q-Gear accelerates both CPU and GPU based [3/6 of https://arxiv.org/abs/2504.03967v1]
April 8, 2025 at 6:15 AM
For years, folks thought Qiskit was the quantum equivalent of a breadboard, great for teaching, not for real work.
I always disagreed.
Now you don’t have to take my word for it. This Nature Computational Science paper makes it falsifiable: Qiskit is the best production-grade SDK on the market.
April 21, 2025 at 2:24 PM
development of an efficient compilation and execution pipeline. In this work, we perform a preliminary analysis of the quantum circuit compilation process in Qiskit, examining the cumulative runtime of each individual compilation task and identifying [4/6 of https://arxiv.org/abs/2504.15141v1]
April 22, 2025 at 6:21 AM
Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators
https://arxiv.org/pdf/2505.17756
M. Emre Sahin et al.
https://arxiv.org/abs/2505.17756
arXiv abstract link
arxiv.org
May 26, 2025 at 4:31 AM
Come join the team for ⚛️ Quantum Wednesday!
This week, we'll discuss 𝗤𝗶𝘀𝗸𝗶𝘁 𝘃𝟮 and what's coming up lead by our guest speaker 𝗟𝘂𝗰𝗶𝗮𝗻𝗼 𝗕𝗲𝗹𝗹𝗼.
Discord: buff.ly/jZ0sg2p
June 3, 2025 at 2:01 PM
✨ We are excited to welcome Zenas Awuku as a speaker at 🐍 PyCon Africa 2025!
“Qiskit & Qubits: A Hands-On Intro to Quantum Computing with Python”
🗓 Oct 08–12, 2025
📍 The Wanderers Club, Johannesburg, South Africa 🇿🇦
#PyConAfrica #PyConAfrica2025 #PyConZA
September 22, 2025 at 1:15 PM
IBM Quantum will host the Qiskit Fall Tech Fest-2025 at the Rajiv Gandhi University of Knowledge and Technologies in Etcherla, Srikakulam, from October 21 to 27. This event aims to raise awareness about quantum computing, a rapidly advancing technology. The university was selected as one of 55
October 19, 2025 at 11:55 PM
.@IBM Boosts the Software Side of Quantum https://buff.ly/48affy3 @holgermu investigates the recent announcement from IBM regarding the Qiskit Functions Catalog and describes why it matters and what CxOs should do with quantum. #IBMForum2024
IBM Boosts the Software Side of Quantum
Introduction The race for the next computing platform, quantum computing, is at full speed. As with every new computing platform, the focus is first on getting the hardware right. With IBM making…
buff.ly
October 17, 2024 at 11:50 PM
widely-used quantum computing platforms: Qiskit, PennyLane, Pytket, and BQSKit, revealing 17 bugs, 14 of which are already confirmed or even fixed. Our results demonstrate QITE's effectiveness, its complementarity to existing quantum fuzzers in terms [6/7 of https://arxiv.org/abs/2503.17322v1]
March 24, 2025 at 6:01 AM
Short daily update for Patreons (paid) is published. It is an introduction to IBM Qiskit quantum computing framework for the Shadow Fleet Tracker and some more.
January 27, 2025 at 8:32 PM
What would be the quantum mechanics equivalent of independent identical distribution?
medium.com/quantum-fron...
#quantum #quantumcomputing #quantumcommunication #quantumphysics #quantumcomputer #qis #qiskit
Tensor Products in Quantum Information Science
Before proceeding, I recommend reviewing previous articles whose links I have added at the end.
medium.com
November 12, 2024 at 9:14 PM
matrices, we design a quantum circuit that approximates a given probability density function. Numerical simulations, conducted using Qiskit, confirm the theoretical predictions and validate the effectiveness of our approach. These results provide a [4/6 of https://arxiv.org/abs/2503.13388v1]
March 18, 2025 at 6:19 AM
Hillol Biswas
Power Networks SCADA Communication Cybersecurity, A Qiskit Implementation
https://arxiv.org/abs/2503.20365
March 27, 2025 at 5:40 AM