The technology giant IBM has released a set of application modules, Qiskit Machine Learning, which are part of its open-source quantum software.
As part of this reframing, we’re excited to announce improvements to these application modules that will soon be replacing Aqua. First up, learn more about Qiskit Machine Learning, which will enable integration into PyTorch, here: https://t.co/b7Z1iMQ5UR
— Qiskit (@qiskit) April 6, 2021
According to the developers, the Qiskit modules are capable of optimising machine learning by using quantum computers for certain parts of the training process.
“Quantum machine learning (QML) offers new types of models that use the unique capabilities of quantum computers, for example, to operate in high-dimensional feature spaces and improve model accuracy,” they wrote in their blog.
IBM argues that quantum computers will not replace existing computing architectures in the near term. Experts expect quantum processors to take on narrowly targeted tasks in artificial intelligence and machine learning.
In March 2020, IBM introduced Qiskit с открытым исходным кодом to make quantum computing more accessible to developers. The company said the framework could accelerate the work of some applications by a factor of 100.
Earlier, in January 2019, IBM introduced the first commercially available quantum computer, the Q System One, with a 20-qubit system.
In March 2019, IBM’s blockchain leader Jesse Lund said that quantum computing poses a threat to digital currencies and cryptography.
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