IBM is releasing Qiskit Machine Learning, a new application module that's part of its open source quantum software.

Qiskit SDK v1.0 represents a pivotal advancement in quantum computing, providing a robust and user-friendly platform for both scientific research and practical applications.

In effect, as Qiskit's applications team explained, quantum machine learning is expected to work in tandem with classical computing, with compute-heavy tasks run on quantum devices to improve ...

IBM is releasing Qiskit SDK v1.2, introducing several important new features and improvements, all aimed at boosting the Qiskit SDK's industry-leading performance and functionality. Since ...

The vision for Qiskit consists of four foundational elements: Terra (the code foundation, for composing quantum programs at the level of circuits and pulses), Aqua (for building algorithms and ...

When combined with Qiskit software tools, the 156-qubit R2 Heron quantum processor can perform 5,000 two-qubit gate operations — double the previous best — meaning it's ready for complex ...

IBM is expanding Qiskit, its quantum computing software, into a comprehensive software stack that includes middleware, serverless building blocks, and generative AI coding assistance.

We all know that quantum computing is coming, but it is hard to know how to get started with it. [Mtreinish] suggests Qiskit — an Apache Licensed SDK for developing quantum applications. He has ...

At first glance, that seems relatively unremarkable, but it’s worth noting that Qiskit was founded by IBM Research and is IBM’s default tool for working with its quantum computers.

Qiskit Runtime established two new quantum computing paradigms: It was the first application to use containers in the quantum cloud to increase programming efficiency and speed.