52 citations
4 papers
Quantum Model Learning Agent: characterisation of quantum systems through machine learning
Brian Flynn, Antonio Andreas Gentile, Nathan Wiebe +2
Accurate models of real quantum systems are important for investigating their behaviour, yet are difficult to distill empirically. Here, we report an algorithm -- the Quantum Model…
The Impact of Hardware Specifications on Reaching Quantum Advantage in the Fault Tolerant Regime
Mark Webber, Vincent Elfving, Sebastian Weidt +1
We investigate how hardware specifications can impact the final run time and the required number of physical qubits to achieve a quantum advantage in the fault tolerant regime. Wit…
Generalized quantum circuit differentiation rules
Oleksandr Kyriienko, Vincent E. Elfving
Variational quantum algorithms that are used for quantum machine learning rely on the ability to automatically differentiate parametrized quantum circuits with respect to underlyin…
Zero-power calibration of photonic circuits at cryogenic temperatures
Ben M. Burridge, Gerardo E. Villarreal-Garcia, Antonio A. Gentile +2
The continual success of superconducting photon-detection technologies in quantum photonics asserts cryogenic-compatible systems as a cornerstone of full quantum photonic integrati…