Yuri Alexeev

Multilevel Combinatorial Optimization Across Quantum Architectures

2019 · TigerPrints (Clemson University)

Emerging quantum processors provide an opportunity to explore new approaches for solving traditional problems in the Post Moore's law supercomputing era. However, the limited number of qubits makes it infeasible to tackle massive real-world datasets …

Localized Quantum Chemistry on Quantum Computers

2022 · ChemRxiv

Quantum chemistry calculations of large, strongly correlated systems are typically limited by the computation cost that scales exponentially with the size of the system. Quantum algorithms, designed specifically for quantum computers, can alleviate this, but …

Towards provably efficient quantum algorithms for large-scale machine-learning models

2023 · arXiv (Cornell University)

Large machine learning models are revolutionary technologies of artificial intelligence whose bottlenecks include huge computational expenses, power, and time used both in the pre-training and fine-tuning process. In this work, we show that fault-tolerant quantum …

A Perspective on Quantum Computing Applications in Quantum Chemistry using 25--100 Logical Qubits

2025 · arXiv (Cornell University)

The intersection of quantum computing and quantum chemistry represents a promising frontier for achieving quantum utility in domains of both scientific and societal relevance. Owing to the exponential growth of classical resource requirements for simulating …