Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Kivlichan, Ian D."'
Autor:
Zhang, Wenbo, Guo, Hangzhi, Kivlichan, Ian D, Prabhakaran, Vinodkumar, Yadav, Davis, Yadav, Amulya
Toxicity is an increasingly common and severe issue in online spaces. Consequently, a rich line of machine learning research over the past decade has focused on computationally detecting and mitigating online toxicity. These efforts crucially rely on
Externí odkaz:
http://arxiv.org/abs/2311.04345
Autor:
Diaz, Mark, Kivlichan, Ian D., Rosen, Rachel, Baker, Dylan K., Amironesei, Razvan, Prabhakaran, Vinodkumar, Denton, Emily
Human annotated data plays a crucial role in machine learning (ML) research and development. However, the ethical considerations around the processes and decisions that go into dataset annotation have not received nearly enough attention. In this pap
Externí odkaz:
http://arxiv.org/abs/2206.08931
Content moderation is often performed by a collaboration between humans and machine learning models. However, it is not well understood how to design the collaborative process so as to maximize the combined moderator-model system performance. This wo
Externí odkaz:
http://arxiv.org/abs/2107.04212
Iterative phase estimation has long been used in quantum computing to estimate Hamiltonian eigenvalues. This is done by applying many repetitions of the same fundamental simulation circuit to an initial state, and using statistical inference to glean
Externí odkaz:
http://arxiv.org/abs/1907.10070
Autor:
Kivlichan, Ian D., Gidney, Craig, Berry, Dominic W., Wiebe, Nathan, McClean, Jarrod, Sun, Wei, Jiang, Zhang, Rubin, Nicholas, Fowler, Austin, Aspuru-Guzik, Alán, Neven, Hartmut, Babbush, Ryan
Publikováno v:
Quantum 4, 296 (2020)
Recent work has deployed linear combinations of unitaries techniques to reduce the cost of fault-tolerant quantum simulations of correlated electron models. Here, we show that one can sometimes improve upon those results with optimized implementation
Externí odkaz:
http://arxiv.org/abs/1902.10673
Autor:
Cao, Yudong, Romero, Jonathan, Olson, Jonathan P., Degroote, Matthias, Johnson, Peter D., Kieferová, Mária, Kivlichan, Ian D., Menke, Tim, Peropadre, Borja, Sawaya, Nicolas P. D., Sim, Sukin, Veis, Libor, Aspuru-Guzik, Alán
Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century. Although many approximation methods have been introduced, the comple
Externí odkaz:
http://arxiv.org/abs/1812.09976
Autor:
Kivlichan, Ian D., McClean, Jarrod, Wiebe, Nathan, Gidney, Craig, Aspuru-Guzik, Alán, Chan, Garnet Kin-Lic, Babbush, Ryan
Publikováno v:
Phys. Rev. Lett. 120, 110501 (2018)
As physical implementations of quantum architectures emerge, it is increasingly important to consider the cost of algorithms for practical connectivities between qubits. We show that by using an arrangement of gates that we term the fermionic swap ne
Externí odkaz:
http://arxiv.org/abs/1711.04789
Autor:
McClean, Jarrod R., Sung, Kevin J., Kivlichan, Ian D., Cao, Yudong, Dai, Chengyu, Fried, E. Schuyler, Gidney, Craig, Gimby, Brendan, Gokhale, Pranav, Häner, Thomas, Hardikar, Tarini, Havlíček, Vojtěch, Higgott, Oscar, Huang, Cupjin, Izaac, Josh, Jiang, Zhang, Liu, Xinle, McArdle, Sam, Neeley, Matthew, O'Brien, Thomas, O'Gorman, Bryan, Ozfidan, Isil, Radin, Maxwell D., Romero, Jhonathan, Rubin, Nicholas, Sawaya, Nicolas P. D., Setia, Kanav, Sim, Sukin, Steiger, Damian S., Steudtner, Mark, Sun, Qiming, Sun, Wei, Wang, Daochen, Zhang, Fang, Babbush, Ryan
Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices. However, at present, developing and studying algorithms for these problems can be difficult due to the pr
Externí odkaz:
http://arxiv.org/abs/1710.07629
Autor:
Fried, E. Schuyler, Sawaya, Nicolas P. D., Cao, Yudong, Kivlichan, Ian D., Romero, Jhonathan, Aspuru-Guzik, Alán
Publikováno v:
PLoS ONE 13(12): e0208510. (2018)
Classical simulation of quantum computation is necessary for studying the numerical behavior of quantum algorithms, as there does not yet exist a large viable quantum computer on which to perform numerical tests. Tensor network (TN) contraction is an
Externí odkaz:
http://arxiv.org/abs/1709.03636
Publikováno v:
Journal of Physics A: Mathematical and Theoretical 50 (30), 305301 (2017)
We present a quantum algorithm for simulating the dynamics of a first-quantized Hamiltonian in real space based on the truncated Taylor series algorithm. We avoid the possibility of singularities by applying various cutoffs to the system and using a
Externí odkaz:
http://arxiv.org/abs/1608.05696