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Statistical and machine learning approaches for prediction of long-time excitation energy transfer dynamics
Kimara Naicker, Ilya Sinayskiy, Francesco Petruccione
One of the approaches used to solve for the dynamics of open quantum systems is the hierarchical equations of motion (HEOM). Although it is numerically exact, this method requires…
Hierarchical quantum circuit representations for neural architecture search
Matt Lourens, Ilya Sinayskiy, Daniel K. Park +2
Machine learning with hierarchical quantum circuits, usually referred to as Quantum Convolutional Neural Networks (QCNNs), is a promising prospect for near-term quantum computing.…
Markovian Noise Modelling and Parameter Extraction Framework for Quantum Devices
Dean Brand, Ilya Sinayskiy, Francesco Petruccione
In recent years, Noisy Intermediate Scale Quantum (NISQ) computers have been widely used as a test bed for quantum dynamics. This work provides a new hardware-agnostic framework fo…