Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Sun, Jiace"'
Autor:
Sun, Jiace
Various quantum mechanics effects have been found and widely studied in different microscopic systems, such as quantum nuclear effects and electron correlation in molecular systems, electron-phonon coupling in crystal systems, and quantum Zeno effect
Stabilizer states, which are also known as the Clifford states, have been commonly utilized in quantum information, quantum error correction, and quantum circuit simulation due to their simple mathematical structure. In this work, we apply stabilizer
Externí odkaz:
http://arxiv.org/abs/2403.08441
Autor:
Kamakari, Hirsh, Sun, Jiace, Li, Yaodong, Thio, Jonathan J., Gujarati, Tanvi P., Fisher, Matthew P. A., Motta, Mario, Minnich, Austin J.
Quantum systems subject to random unitary evolution and measurements at random points in spacetime exhibit entanglement phase transitions which depend on the frequency of these measurements. Past work has experimentally observed entanglement phase tr
Externí odkaz:
http://arxiv.org/abs/2403.00938
Achieving chemical accuracy with shallow quantum circuits is a significant challenge in quantum computational chemistry, particularly for near-term quantum devices. In this work, we present a Clifford-based Hamiltonian engineering algorithm, namely C
Externí odkaz:
http://arxiv.org/abs/2306.12053
Autor:
Sun, Jiace, Minnich, Austin J.
Recent ab-initio studies of electron transport in GaAs have reported that electron-phonon (e-ph) interactions beyond the lowest order play a fundamental role in charge transport and noise phenomena. Inclusion of the next-leading-order process in whic
Externí odkaz:
http://arxiv.org/abs/2302.01480
Autor:
Cheng, Lixue, Sun, Jiace, Deustua, J. Emiliano, Bhethanabotla, Vignesh C., Miller III, Thomas F.
We introduce a novel machine learning strategy, kernel addition Gaussian process regression (KA-GPR), in molecular-orbital-based machine learning (MOB-ML) to learn the total correlation energies of general electronic structure theories for closed- an
Externí odkaz:
http://arxiv.org/abs/2207.08317
This study extends the accurate and transferable molecular-orbital-based machine learning (MOB-ML) approach to modeling the contribution of electron correlation to dipole moments at the cost of Hartree-Fock computations. A molecular-orbital-based (MO
Externí odkaz:
http://arxiv.org/abs/2205.15510
Autor:
Zhang, Shi-Xin, Allcock, Jonathan, Wan, Zhou-Quan, Liu, Shuo, Sun, Jiace, Yu, Hao, Yang, Xing-Han, Qiu, Jiezhong, Ye, Zhaofeng, Chen, Yu-Qin, Lee, Chee-Kong, Zheng, Yi-Cong, Jian, Shao-Kai, Yao, Hong, Hsieh, Chang-Yu, Zhang, Shengyu
Publikováno v:
Quantum 7, 912 (2023)
TensorCircuit is an open source quantum circuit simulator based on tensor network contraction, designed for speed, flexibility and code efficiency. Written purely in Python, and built on top of industry-standard machine learning frameworks, TensorCir
Externí odkaz:
http://arxiv.org/abs/2205.10091
The accurate and efficient calculation of the rate coefficients of chemical reactions is a key issue in the research of chemical dynamics. In this work, by applying the dimension-free ultra-stable Cayley propagator, the thermal rate coefficients of a
Externí odkaz:
http://arxiv.org/abs/2205.09331
We introduce an unsupervised clustering algorithm to improve training efficiency and accuracy in predicting energies using molecular-orbital-based machine learning (MOB-ML). This work determines clusters via the Gaussian mixture model (GMM) in an ent
Externí odkaz:
http://arxiv.org/abs/2204.09831