No abstract

A single qubit provides sufficient computational capabilities to construct a universal quantum classifier. This fact may be surprising since a single qubit only offers a simple superposition of two states and single qubit gates only make a rotation in the Bloch sphere. The key ingredient to circumvent these limitations is to allow for multiple data re-uploading. A quantum circuit can then be organized as a series of data re-uploading and single-qubit processing units. Furthermore, both data re-uploading and measurements can accommodate multiple dimensions in the input and multiple categories in the output, so as to conform a universal quantum classifier. The extension of this idea to several qubits enhances the efficiency of the strategy as entanglement expands the superpositions carried along the classification. Extensive benchmarking on different examples of the single-and multi-qubit quantum classifier validates its ability to describe and classify complex data.

We present an exact simulation of a onedimensional transverse Ising spin chain with a quantum computer. We construct an efficient quantum circuit that diagonalizes the Ising Hamiltonian and allows to obtain all eigenstates of the model by just preparing the computational basis states. With an explicit example of that circuit for n = 4 spins, we compute the expected value of the ground state transverse magnetization, the time evolution simulation and provide a method to also simulate thermal evolution. All circuits are run in IBM and Rigetti quantum devices to test and compare them qualitatively.Accepted in Quantum 2018-12-18, click title to verify arXiv:1807.07112v3 [quant-ph]