1 code implementation • 23 Mar 2023 • Tobias Haug, M. S. Kim
Generalization is the ability of quantum machine learning models to make accurate predictions on new data by learning from training data.
no code implementations • 2 Nov 2022 • 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 equipped with a classically-evaluated quantum kernel.
1 code implementation • 2 Aug 2021 • Tobias Haug, Chris N. Self, M. S. Kim
Further, we efficiently encode high-dimensional data into quantum computers with the number of features scaling linearly with the circuit depth.
1 code implementation • 29 Apr 2021 • Tobias Haug, M. S. Kim
Variational quantum algorithms (VQAs) promise efficient use of near-term quantum computers.
1 code implementation • 2 Feb 2021 • Tobias Haug, Kishor Bharti, M. S. Kim
We identify a transition in the quantum geometry of the parameter space, which leads to a decay of the quantum natural gradient for deep circuits.
no code implementations • 1 Feb 2021 • G. S. Thekkadath, S. Sempere-Llagostera, B. A. Bell, R. B. Patel, M. S. Kim, I. A. Walmsley
The discrimination of coherent states is a key task in optical communication and quantum key distribution protocols.
Quantum Physics Optics
no code implementations • 1 Feb 2021 • Benjamin A. Stickler, Klaus Hornberger, M. S. Kim
Rotations of microscale rigid bodies exhibit pronounced quantum phenomena that do not exist for their center-of-mass motion.
Quantum Physics
no code implementations • 16 Sep 2020 • Alistair W. R. Smith, Johnnie Gray, M. S. Kim
Once our neural network has been trained it can be used to efficiently sample measurements of the state in measurement bases not contained in the training data.
1 code implementation • 14 Jun 2019 • Adam Smith, M. S. Kim, Frank Pollmann, Johannes Knolle
Universal quantum computers are potentially an ideal setting for simulating many-body quantum dynamics that is out of reach for classical digital computers.
Quantum Physics Mesoscale and Nanoscale Physics Strongly Correlated Electrons