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The Quantum Tensor Engine project focuses on creating a software package that utilizes quantum tensor networks to enhance quantum computing capabilities. This tool aims to simplify the implementation of quantum algorithms for simulations and machine learning, benefiting both academic and commercial sectors.
Quantum computers harness fundamental aspects of quantum behavior to drive exponential increases in the speed with which certain computations can be performed.
They have potentially a tremendous long-term impact in areas such as quantum-many body physics and material science, and further afield in machine learning.
The quantum many-body problems studied by condensed matter physicists are perhaps the most likely to yield early demonstrations of this potential.
However, current and near-term inter…
TECHNISCHE UNIVERSITAET MUENCHEN
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