Leonard Wossnig

LabGenius (United Kingdom) — United Kingdom

Computer Science · Physical Sciences

13h-index2.0kcitations27works15.02yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(22), Quantum Information and Cryptography(17), Neural Networks and Reservoir Computing(5), Quantum and electron transport phenomena(4), Stochastic Gradient Optimization Techniques(3)

Publications27 total

Best practices for machine learning in antibody discovery and development
Drug Discovery Today·2024· 15 citedOpen Access
Best practices for machine learning in antibody discovery and development
arXiv (Cornell University)·2023· 1 citedOpen Access
The Variational Quantum Eigensolver: A review of methods and best practices
Physics Reports·2022· 897 citedOpen Access
The Variational Quantum Eigensolver: a review of methods and best practices
arXiv (Cornell University)·2021· 15 citedOpen Access
Intelligent drug discovery
Physics World·2021· 1 cited
Quantum Machine Learning For Classical Data
arXiv (Cornell University)·2021· 1 citedOpen Access
Computation of molecular excited states on IBM quantum computers using a discriminative variational quantum eigensolver
Physical review. A/Physical review, A·2020· 37 citedOpen Access
Universal discriminative quantum neural networks
Quantum Machine Intelligence·2020· 84 citedOpen Access
Statistical limits of supervised quantum learning
Physical review. A/Physical review, A·2020· 9 citedOpen Access
A quantum algorithm for simulating non-sparse Hamiltonians
Quantum Information and Computation·2020· 11 cited
Cost-function embedding and dataset encoding for machine learning with parametrized quantum circuits
Physical review. A/Physical review, A·2020· 29 citedOpen Access
Fast quantum learning with statistical guarantees.
arXiv (Cornell University)·2020· 5 citedOpen Access
Computation of molecular excited states on IBMQ using a Discriminative Variational Quantum Eigensolver
arXiv (Cornell University)·2020· 2 citedOpen Access
Dynamical mean field theory algorithm and experiment on quantum computers
Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)·2020Open Access
Dynamical mean field theory algorithm and experiment on quantum computers
arXiv (Cornell University)·2019· 49 citedOpen Access
Cost function embedding and dataset encoding for machine learning with parameterized quantum circuits
arXiv (Cornell University)·2019· 1 citedOpen Access
Quantum gradient descent and Newton’s method for constrained polynomial optimization
New Journal of Physics·2019· 15 citedOpen Access
Generative training of quantum Boltzmann machines with hidden units
arXiv (Cornell University)·2019· 32 citedOpen Access
Adversarial quantum circuit learning for pure state approximation
New Journal of Physics·2019· 74 citedOpen Access
Quantum machine learning: Challenges and Opportunities
Bulletin of the American Physical Society·2019· 1 cited
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Frequent Co-authors

Edward Grant(8), Hongxiang Chen(6), Simone Severini(5), Jules Tilly(4), Shuxiang Cao(4), Ivan Rungger(4), Carlo Ciliberto(3), Andrea Rocchetto(3), Dario Picozzi(2), Kanav Setia(2), Ying Li(2), George H. Booth(2), Jonathan Tennyson(2), Mark Herbster(2), Nathan Fitzpatrick(2), C. Huerta Alderete(2), Alexander Cowtan(2), David Muñoz Ramo(2), Nhung H. Nguyen(2), Stéphane Chrétien(2)