no code implementations • 30 Jan 2024 • Sahil Gulania, Yuri Alexeev, Stephen K. Gray, Bo Peng, Niranjan Govind
The manuscript introduces the basics of quantum error sources and explores the potential of using classical computation for error mitigation.
no code implementations • 11 Oct 2023 • Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev
The current era of quantum computing has yielded several algorithms that promise high computational efficiency.
no code implementations • 25 Jul 2023 • Yunfei Wang, Yuri Alexeev, Liang Jiang, Frederic T. Chong, Junyu Liu
Quantum random access memory (QRAM), a fundamental component of many essential quantum algorithms for tasks such as linear algebra, data search, and machine learning, is often proposed to offer $\mathcal{O}(\log N)$ circuit depth for $\mathcal{O}(N)$ data size, given $N$ qubits.
no code implementations • 6 Mar 2023 • Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yunfei Wang, Yuri Alexeev, Jens Eisert, Liang Jiang
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.
no code implementations • 19 May 2022 • Minzhao Liu, Junyu Liu, Yuri Alexeev, Liang Jiang
Random quantum circuits have been utilized in the contexts of quantum supremacy demonstrations, variational quantum algorithms for chemistry and machine learning, and blackhole information.
no code implementations • 14 Aug 2020 • Dmitry A. Fedorov, Matthew J. Otten, Stephen K. Gray, Yuri Alexeev
Ab initio molecular dynamics (AIMD) is a valuable technique for studying molecules and materials at finite temperatures where the nuclei evolve on potential energy surfaces obtained from accurate electronic structure calculations.
Chemical Physics
no code implementations • 25 Nov 2019 • Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
Proposed recently, the Quantum Approximate Optimization Algorithm (QAOA) is considered as one of the leading candidates for demonstrating quantum advantage in the near term.
no code implementations • 11 Nov 2019 • Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
The Quantum Approximate Optimization Algorithm (QAOA) is arguably one of the leading quantum algorithms that can outperform classical state-of-the-art methods in the near term.
no code implementations • 10 Oct 2019 • Ruslan Shaydulin, Yuri Alexeev
We perform a large-scale numerical study of the approximation ratios attainable by QAOA is the low- to medium-depth regime.
Quantum Physics Data Structures and Algorithms