317 citations
- University College LondonGB12 papers
- University of OxfordGB4 papers
- Cambridge Quantum Computing (United Kingdom)GB3 papers
- Imperial College LondonGB2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- King's College LondonGB2 papers
- National Physical LaboratoryGB2 papers
- The University of Texas at AustinUS2 papers
- Google (United States)US1 paper
- Institute of Theoretical and Applied InformaticsPL1 paper
- Johnson Matthey (United Kingdom)GB1 paper
- Kavli Institute for Theoretical PhysicsUS1 paper
Showing 2019Show all
3 papers · 1 filter
quant-ph2019★ 26 cited
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…
quant-ph2019★ 30 cited
Cost function embedding and dataset encoding for machine learning with parameterized quantum circuits
Shuxiang Cao, Leonard Wossnig, Brian Vlastakis +2
Machine learning is seen as a promising application of quantum computation. For near-term noisy intermediate-scale quantum (NISQ) devices, parametrized quantum circuits (PQCs) have…
quant-ph2019★ 209 cited
Structure optimization for parameterized quantum circuits
Mateusz Ostaszewski, Edward Grant, Marcello Benedetti
We propose an efficient method for simultaneously optimizing both the structure and parameter values of quantum circuits with only a small computational overhead. Shallow circuits…