1.1k citations · 1.3k across the 6 of their papers we have counts for
7 papers
The Variational Quantum Eigensolver: a review of methods and best practices
Jules Tilly, Hongxiang Chen, Shuxiang Cao +8
The variational quantum eigensolver (or VQE) uses the variational principle to compute the ground state energy of a Hamiltonian, a problem that is central to quantum chemistry and…
A variational quantum eigensolver for dynamic correlation functions
Hongxiang Chen, Max Nusspickel, Jules Tilly +1
Recent practical approaches for the use of current generation noisy quantum devices in the simulation of quantum many-body problems have been dominated by the use of a variational…
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
Michael Broughton, Guillaume Verdon, Trevor McCourt +26
We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data. This framework offers high…
Computation of molecular excited states on IBM quantum computers using a discriminative variational quantum eigensolver
Jules Tilly, Glenn Jones, Hongxiang Chen +2
Solving for molecular excited states remains one of the key challenges of modern quantum chemistry. Traditional methods are constrained by existing computational capabilities, limi…
Machine learning logical gates for quantum error correction
Hongxiang Chen, Michael Vasmer, Nikolas P. Breuckmann +1
Quantum error correcting codes protect quantum computation from errors caused by decoherence and other noise. Here we study the problem of designing logical operations for quantum…
Quantum State Discrimination Using Noisy Quantum Neural Networks
Andrew Patterson, Hongxiang Chen, Leonard Wossnig +3
Near-term quantum computers are noisy, and therefore must run algorithms with a low circuit depth and qubit count. Here we investigate how noise affects a quantum neural network (Q…
Universal discriminative quantum neural networks
Hongxiang Chen, Leonard Wossnig, Simone Severini +2
Quantum mechanics fundamentally forbids deterministic discrimination of quantum states and processes. However, the ability to optimally distinguish various classes of quantum data…