research
∙
06/20/2023
Fast quantum algorithm for differential equations
Partial differential equations (PDEs) are ubiquitous in science and engi...
share
research
∙
09/07/2022
Synthesizing efficient circuits for Hamiltonian simulation
We provide a new approach for compiling quantum simulation circuits that...
research
∙
12/15/2021
Quantum Model Learning Agent: characterisation of quantum systems through machine learning
Accurate models of real quantum systems are important for investigating ...
research
∙
10/29/2020
Entanglement Induced Barren Plateaus
We argue that an excess in entanglement between the visible and hidden u...
research
∙
09/16/2020
Bayesian phase estimation with adaptive grid refinement
We introduce a novel Bayesian phase estimation technique based on adapti...
research
∙
08/30/2020
Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions
Preconditioning is the most widely used and effective way for treating i...
research
∙
02/14/2020
Learning models of quantum systems from experiments
An isolated system of interacting quantum particles is described by a Ha...
research
∙
12/18/2019
A Theory of Trotter Error
The Lie-Trotter formula, together with its higher-order generalizations,...
research
∙
06/17/2019
Time-dependent Hamiltonian simulation with L^1-norm scaling
The difficulty of simulating quantum dynamics depends on the norm of the...
research
∙
05/23/2019
Generative training of quantum Boltzmann machines with hidden units
In this article we provide a method for fully quantum generative trainin...
research
∙
12/20/2017
Experimental Phase Estimation Enhanced By Machine Learning
Phase estimation protocols provide a fundamental benchmark for the field...
research
∙
12/19/2017
Pattern recognition techniques for Boson Sampling validation
The difficulty of validating large-scale quantum devices, such as Boson ...
research
∙
11/17/2017
Hardening Quantum Machine Learning Against Adversaries
Security for machine learning has begun to become a serious issue for pr...
research
∙
11/01/2017
Optimizing quantum optimization algorithms via faster quantum gradient computation
We consider a generic framework of optimization algorithms based on grad...
research
∙
02/15/2016
Quantum Perceptron Models
We demonstrate how quantum computation can provide non-trivial improveme...
research
∙
12/09/2015
Partial Reinitialisation for Optimisers
Heuristic optimisers which search for an optimal configuration of variab...
research
∙
11/20/2015
Bayesian inference via rejection filtering
We provide a method for approximating Bayesian inference using rejection...
research
∙
12/10/2014
