Qiskit is a quantum computing software development kit and open-source community of people who believe anyone can learn how to program a quantum computer.
Qiskit v2.4 is now available: ibm.com/quantum/blog/qiskit-…
The update strengthens Qiskit as a platform for real quantum workloads, with support for compiled Python extensions via the C API, faster QPY serialization, and improvements in Qiskit’s fault‑tolerant transpilation pipeline.
Attended a World Quantum Day session (April 14) and explored quantum computing.
From superposition & entanglement to real-world use cases like drug discovery and finance, quantum is no longer just theory.
You can start today using tools like @qiskit@IBM#QuantumComputing
Qiskit Functions abstract away the complexity of quantum-classical workflows to help applications researchers run large‑scale quantum experiments on today’s quantum hardware—no deep expertise required: ibm.com/quantum/blog/functio…
In this new course, we outline Quantum high-performance classical computing (#HPC).
Specifically, we describe different compute resources, outline various programming workflows, and demonstrate an example application using sample-based quantum diagonalization (SQD).
The new #Qiskit v2.3 release expands the C API—adding faster, more flexible tools for custom circuit optimization in hybrid quantum-HPC workflows.
Full technical summary here: ibm.com/quantum/blog/qiskit-…
Registration is now open for the #Qiskit Advocate Mentorship Program (QAMP) 2025 Open House, scheduled for 3 - 4 February 2026: crowdcast.io/c/axfd1c9ywtsc
For the past three months, Qiskit advocates have been working on quantum computing projects under the guidance of experienced mentors through the Qiskit Advocate Mentorship Program (QAMP).
We invite you to drop in to any (or all) of the sessions linked above to see the minimum viable products (MVPs) these teams have built as part of their development journey—spanning quantum algorithms, research explorations, educational content, and open-source contributions.
Today, on the Qiskit blog, we’re highlighting a fun Qiskit Ecosystem project that provides users with a handy, GUI-based tool for building Bloch sphere visualizations. Check it out! medium.com/qiskit/quantum-gl…
#145: Tune in to hear about a work I am very proud of. Oles Shtanko will tell us about "Uncovering Local Integrability on #IBM Quantum Hardware" on the @Qiskit#QuantumSeminar
🔴 Tune in now to ask question & discuss live
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Qiskit v0.45 is here!
👩💻 API improvements for working with transpiler passes and layouts
🔩 New hardware-aware synthesis functionality
📈 Performance improvements
💨 Clean-up for deprecated code
Read our latest Qiskit blog to learn more: medium.com/qiskit/qiskit-v0-… 1/2
This will be the last release before we launch Qiskit 1.0, so you may notice we're making a few more changes than usual. To get all the details, be sure to check our documentation for the full release notes: qiskit.org/documentation/rel… 2/2
On the Qiskit blog, we're exploring how a tool from the Qiskit ecosystem can help us improve the performance of variational quantum algorithms.
Take a look: medium.com/qiskit/enhance-va… 1/5
The Qiskit Pulse module allows users to customize pulse shapes and adjust parameters like amplitude, phase, shape, and frequency. Users can also use the Qiskit Ecosystem project Qiskit Dynamics to quickly and efficiently simulate the resulting pulse schedules. 4/5
On the blog, @ZhidingLiang, Jinglei Cheng and @hanrui_w detail their approach to executing pulse-level VQE. For more details, be sure to read the full piece on the Qiskit Medium:
medium.com/qiskit/enhance-va… 5/5
Announcing the Quantum Explorers Qiskit Challenge launching November 28! 🚀 Join the ongoing Quantum Explorers 2023-24 cohort and put your skills to the test: challenges.quantum-computing…
🌟 Join us for a unique @Qiskit Quantum Seminar with Jay Gambetta and four amazing scientists! This isn't your regular seminar; we're diving deep into the world of large-scale quantum circuits, seeing 1/2
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