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Speeding up quantum perceptron via shortcuts to adiabaticity
(Springer Nature, 2021-03-11)
The quantum perceptron is a fundamental building block for quantum machine learning. This is a multidisciplinary field that incorporates abilities of quantum computing, such as state superposition and entanglement, to ...
Quantum Simulation of Dissipative Processes without Reservoir Engineering
(Nature Publishing Group, 2015-05-29)
We present a quantum algorithm to simulate general finite dimensional Lindblad master equations without the requirement of engineering the system-environment interactions. The proposed method is able to simulate both ...
From transistor to trapped-ion computers for quantum chemistry
(Nature Publishing Group, 2014-01)
Over the last few decades, quantum chemistry has progressed through the development of computational methods based on modern digital computers. However, these methods can hardly fulfill the exponentially-growing resource ...
Measurement-Based Adaptation Protocol with Quantum Reinforcement Learning in a Rigetti Quantum Computer
(MDPI, 2020-05-19)
We present an experimental realisation of a measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti cloud quantum computer. The experiment in this few-qubit superconducting chip faithfully ...