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Quantum-machine-learning channel discrimination
Quantum channel discrimination with a variational quantum classifier (ii) allows one to operate even with random and mixed input states and simple variational circuits.
Certified variational quantum algorithms for eigenstate preparation
Solutions to many-body problem instances often involve an intractable number of degrees of freedom and admit no known approximations in general form.
Machine Learning Phase Transitions with a Quantum Processor
To overcome this slowdown while still leveraging machine learning, we propose a variational quantum algorithm which merges quantum simulation and quantum machine learning to classify phases of matter.
Quantum Machine Learning Tensor Network States
Tensor network algorithms seek to minimize correlations to compress the classical data representing quantum states.
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