Simulation of Networked Quantum Computing on Encrypted Data
Published in , 2022
Internal presentation for the group about FBQC
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You can also find my articles on my Google Scholar profile.
Published in , 2022
Internal presentation for the group about FBQC
Download here
Published in Submitted to Quantum Machine Intelligence, 2020
Generative Modelling has become a promising use case for near term quantum computers. In particular, due to the fundamentally probabilistic nature of quantum mechanics, quantum computers naturally model and learn probability distributions. The Born machine is an example of such a model. Here we present the Born machine within the framework of Continuous Variable Quantum Computing for the purpose of learning continuous probability distributions.
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Published in Physical Review Letters, 2020
We demonstrate a two-photon pathway to the ground state of 6Li40K molecules that involves only singlet-to-singlet optical transitions.
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Published in Edinburgh University BSc Thesis, 2017
I adapt and simulate a Quantum Fully Homomorphic Encryption protocol based on the Measurement-Based Quantum Computing model on the recently released IBM 16-qubit cloud quantum processor.
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