485 citations · 3k across the 63 of their papers we have counts for
6 papers · 2 filters
Quantum Mixed State Compiling
Nic Ezzell, Elliott M. Ball, Aliza U. Siddiqui +4
The task of learning a quantum circuit to prepare a given mixed state is a fundamental quantum subroutine. We present a variational quantum algorithm (VQA) to learn mixed states wh…
Inference-Based Quantum Sensing
C. Huerta Alderete, Max Hunter Gordon, Frederic Sauvage +4
In a standard Quantum Sensing (QS) task one aims at estimating an unknown parameter , encoded into an -qubit probe state, via measurements of the system. The success of this…
Dynamical simulation via quantum machine learning with provable generalization
Joe Gibbs, Zoë Holmes, Matthias C. Caro +5
Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to e…
Out-of-distribution generalization for learning quantum dynamics
Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell +5
Generalization bounds are a critical tool to assess the training data requirements of Quantum Machine Learning (QML). Recent work has established guarantees for in-distribution gen…
Improving the efficiency of learning-based error mitigation
Piotr Czarnik, Michael McKerns, Andrew T. Sornborger +1
Error mitigation will play an important role in practical applications of near-term noisy quantum computers. Current error mitigation methods typically concentrate on correction qu…
Challenges for quantum computation of nonlinear dynamical systems using linear representations
Yen Ting Lin, Robert B. Lowrie, Denis Aslangil +2
A number of recent studies have proposed that linear representations are appropriate for solving nonlinear dynamical systems with quantum computers, which fundamentally act linearl…