99 citations · 483 across the 13 of their papers we have counts for
13 papers
Diabatic Quantum Annealing for the Frustrated Ring Model
Jeremy Côté, Frédéric Sauvage, Martín Larocca +3
Quantum annealing is a continuous-time heuristic quantum algorithm for solving or approximately solving classical optimization problems. The algorithm uses a schedule to interpolat…
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
Louis Schatzki, Martin Larocca, Quynh T. Nguyen +2
Despite the great promise of quantum machine learning models, there are several challenges one must overcome before unlocking their full potential. For instance, models based on qu…
Theory for Equivariant Quantum Neural Networks
Quynh T. Nguyen, Louis Schatzki, Paolo Braccia +5
Quantum neural network architectures that have little-to-no inductive biases are known to face trainability and generalization issues. Inspired by a similar problem, recent breakth…
Representation Theory for Geometric Quantum Machine Learning
Michael Ragone, Paolo Braccia, Quynh T. Nguyen +5
Recent advances in classical machine learning have shown that creating models with inductive biases encoding the symmetries of a problem can greatly improve performance. Importatio…
Building spatial symmetries into parameterized quantum circuits for faster training
Frederic Sauvage, Martin Larocca, Patrick J. Coles +1
Practical success of quantum learning models hinges on having a suitable structure for the parameterized quantum circuit. Such structure is defined both by the types of gates emplo…
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…
Optimal control of families of quantum gates
Frederic Sauvage, Florian Mintert
Quantum Optimal Control (QOC) enables the realization of accurate operations, such as quantum gates, and support the development of quantum technologies. To date, many QOC framewor…
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…
FLIP: A flexible initializer for arbitrarily-sized parametrized quantum circuits
Frederic Sauvage, Sukin Sim, Alexander A. Kunitsa +3
When compared to fault-tolerant quantum computational strategies, variational quantum algorithms stand as one of the candidates with the potential of achieving quantum advantage fo…
Efficient Assessment of Process Fidelity
Sean Greenaway, Frédéric Sauvage, Kiran E. Khosla +1
The accurate implementation of quantum gates is essential for the realisation of quantum algorithms and digital quantum simulations. This accuracy may be increased on noisy hardwar…
Phase diagram and optimal control for n-tupling discrete time crystal
Arkadiusz Kuroś, Rick Mukherjee, Weronika Golletz +4
A remarkable consequence of spontaneously breaking the time translational symmetry in a system, is the emergence of time crystals. In periodically driven systems, discrete time cry…
Preparation of ordered states in ultra-cold gases using Bayesian optimization
Rick Mukherjee, Frederic Sauvage, Harry Xie +2
Ultra-cold atomic gases are unique in terms of the degree of controllability, both for internal and external degrees of freedom. This makes it possible to use them for the study of…
Optimal quantum control with poor statistics
Frederic Sauvage, Florian Mintert
Control of quantum systems is a central element of high-precision experiments and the development of quantum technological applications. Control pulses that are typically temporall…