- Quantum information and quantum computation
- Quantum algorithms
- Tensor network methods
- Quantum machine learning
Dmitry Guskov is a dedicated researcher specializing in quantum information processing, quantum algorithms, and tensor network techniques. Originally from Moscow, Russia, his academic journey began with a Bachelor’s degree in Physics with Honors from Lomonosov Moscow State University in 2022. Currently, he is pursuing a Master of Science in Mathematical Methods of Quantum Statistics and Field Theory, expanding his knowledge and skills in the field of quantum computing, with an expected graduation date in June 2023. Dmitry’s journey in the realm of quantum machine learning began when he joined the Deep Quantum Lab in 2022 as a Research Intern.
1. Construction of a Circuit for the Simulation of a Hamiltonian with a Tridiagonal Matrix Representation
Boris Arseniev, Dmitry Guskov, Richik Sengupta, Jacob Biamonte, Igor Zacharov
arXiv:2310.00121 [quant-ph] (2023)