Biamonte, Jacob

Quantum machine learning

Biamonte, J., Wittek, P., Pancotti, N., Rebentrost, P., Wiebe, N., & Lloyd, S. (2017) · Nature

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 4,779

Towards quantum chemistry on a quantum computer

Lanyon, B. P., Whitfield, J. D., Gillett, G. G., Goggin, M. E., Almeida, M. P., Kassal, I., Biamonte, J. D., Mohseni, M., Powell, B. J., Barbieri, M., et al. (2010) · Nature Chemistry

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 796

Simulation of electronic structure Hamiltonians using quantum computers

Whitfield, J. D., Biamonte, J., & Aspuru-Guzik, A. (2011) · Molecular Physics

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 472

High-fidelity spin entanglement using optimal control

Dolde, F., Bergholm, V., Wang, Y., Jakobi, I., Naydenov, B., Pezzagna, S., Meijer, J., Jelezko, F., Neumann, P., Schulte-Herbrüggen, T., et al. (2014) · Nature Communications

Diamond and Carbon-based Materials ResearchQuantum and electron transport phenomena

Cited by 325

Spectral Entropies as Information-Theoretic Tools for Complex Network Comparison

De Domenico, M., & Biamonte, J. (2016) · Physical Review X

Complex Network Analysis TechniquesStatistical Mechanics and Entropy

Cited by 160

Reachability Deficits in Quantum Approximate Optimization

Akshay, V., Philathong, H., Morales, M. E. S., & Biamonte, J. D. (2020) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 151

Complex networks from classical to quantum

Biamonte, J., Faccin, M., & De Domenico, M. (2019) · Communications Physics

Complex Network Analysis TechniquesQuantum Information and Cryptography

Cited by 149

On barren plateaus and cost function locality in variational quantum algorithms

Uvarov, A. V., & Biamonte, J. D. (2021) · Journal of Physics A: Mathematical and Theoretical

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 126

Parameter concentrations in quantum approximate optimization

Akshay, V., Rabinovich, D., Campos, E., & Biamonte, J. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 103

Universal variational quantum computation

Biamonte, J. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 102

On the Universality of the Quantum Approximate Optimization Algorithm

Morales, M. E. S., Biamonte, J., & Zimborás, Z. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 95

A quantum algorithm to train neural networks using low-depth circuits

Verdon, G., Broughton, M., & Biamonte, J. (2017) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 87

Machine learning phase transitions with a quantum processor

Uvarov, A. V., Kardashin, A. S., & Biamonte, J. D. (2020) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 69

Quantum Transport Enhancement by Time-Reversal Symmetry Breaking

Zimborás, Z., Faccin, M., Kádár, Z., Whitfield, J. D., Lanyon, B. P., & Biamonte, J. (2013) · Scientific Reports

Quantum Computing Algorithms and ArchitectureQuantum and electron transport phenomena

Cited by 64

Variational quantum eigensolver for frustrated quantum systems

Uvarov, A., Biamonte, J. D., & Yudin, D. (2020) · Physical Review B

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 61

Chiral quantum walks

Lu, D., Biamonte, J. D., Li, J., Li, H., Johnson, T. H., Bergholm, V., Faccin, M., Zimborás, Z., Laflamme, R., Baugh, J., et al. (2016) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 58

Variational learning of Grover's quantum search algorithm

Morales, M. E. S., Tlyachev, T., & Biamonte, J. (2018) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 57

Abrupt transitions in variational quantum circuit training

Campos, E., Nasrallah, A., & Biamonte, J. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 46

Quantum technologies in Russia

Fedorov, A. K., Akimov, A. V., Biamonte, J. D., Kavokin, A. V., Khalili, F. Y., Kiktenko, E. O., Kolachevsky, N. N., Kurochkin, Y. V., Lvovsky, A. I., Rubtsov, A. N., et al. (2019) · Quantum Science and Technology

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 46

Community Detection in Quantum Complex Networks

Faccin, M., Migdał, P., Johnson, T. H., Bergholm, V., & Biamonte, J. D. (2014) · Physical Review X

Complex Network Analysis TechniquesGraph theory and applications

Cited by 43

Hamiltonian gadgets with reduced resource requirements

Cao, Y., Babbush, R., Biamonte, J., & Kais, S. (2015) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 35

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping

Maciejewski, F. B., Biamonte, J., Hadfield, S., & Venturelli, D. (2025) · Quantum

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 10

Quantum Techniques for Stochastic Mechanics

Baez, J. C., & Biamonte, J. (2012) · arXiv

Stochastic processes and statistical mechanicsQuantum Mechanics and Applications

Cited by 4