31 citations · 71 across the 4 of their papers we have counts for
4 papers
Faster variational quantum algorithms with quantum kernel-based surrogate models
Alistair W. R. Smith, A. J. Paige, M. S. Kim
We present a new optimization method for small-to-intermediate scale variational algorithms on noisy near-term quantum processors which uses a Gaussian process surrogate model equi…
Qubit Readout Error Mitigation with Bit-flip Averaging
Alistair W. R. Smith, Kiran E. Khosla, Chris N. Self +1
Quantum computers are becoming increasingly accessible, and may soon outperform classical computers for useful tasks. However, qubit readout errors remain a significant hurdle to r…
Variational quantum algorithm with information sharing
Chris N. Self, Kiran E. Khosla, Alistair W. R. Smith +5
We introduce an optimisation method for variational quantum algorithms and experimentally demonstrate a 100-fold improvement in efficiency compared to naive implementations. The ef…
Efficient Quantum State Sample Tomography with Basis-dependent Neural-networks
Alistair W. R. Smith, Johnnie Gray, M. S. Kim
We use a meta-learning neural-network approach to analyse data from a measured quantum state. Once our neural network has been trained it can be used to efficiently sample measurem…