Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mária Kieferová"'
Publikováno v:
Quantum, Vol 6, p 806 (2022)
Quantum simulation, the simulation of quantum processes on quantum computers, suggests a path forward for the efficient simulation of problems in condensed-matter physics, quantum chemistry, and materials science. While the majority of quantum simula
Externí odkaz:
https://doaj.org/article/41d3a81e0009476b9b459e628ab35b2f
Autor:
Mária Kieferová, Yuval R. Sanders
Publikováno v:
Harvard Data Science Review (2022)
Externí odkaz:
https://doaj.org/article/8bcc2ebb04114605bd46a5af144be4cc
Publikováno v:
PRX Quantum, Vol 2, Iss 4, p 040316 (2021)
We argue that an excess in entanglement between the visible and hidden units in a quantum neural network can hinder learning. In particular, we show that quantum neural networks that satisfy a volume law in the entanglement entropy will give rise to
Externí odkaz:
https://doaj.org/article/197b535f4ffc41e8808383d2a2bdb1e6
Autor:
Mária Kieferová, Nathan Wiebe
Publikováno v:
New Journal of Physics, Vol 16, Iss 12, p 123034 (2014)
We provide a new approach to adiabatic state preparation that uses coherent control and measurement to average different adiabatic evolutions in ways that cause their diabatic errors to cancel, allowing highly accurate state preparations using less t
Externí odkaz:
https://doaj.org/article/e80dae81dcdf45039693399d33ef0afb
Autor:
Theodore White, Alex Opremcak, George Sterling, Alexander Korotkov, Daniel Sank, Rajeev Acharya, Markus Ansmann, Frank Arute, Kunal Arya, Joseph C. Bardin, Andreas Bengtsson, Alexandre Bourassa, Jenna Bovaird, Leon Brill, Bob B. Buckley, David A. Buell, Tim Burger, Brian Burkett, Nicholas Bushnell, Zijun Chen, Ben Chiaro, Josh Cogan, Roberto Collins, Alexander L. Crook, Ben Curtin, Sean Demura, Andrew Dunsworth, Catherine Erickson, Reza Fatemi, Leslie Flores Burgos, Ebrahim Forati, Brooks Foxen, William Giang, Marissa Giustina, Alejandro Grajales Dau, Michael C. Hamilton, Sean D. Harrington, Jeremy Hilton, Markus Hoffmann, Sabrina Hong, Trent Huang, Ashley Huff, Justin Iveland, Evan Jeffrey, Mária Kieferová, Seon Kim, Paul V. Klimov, Fedor Kostritsa, John Mark Kreikebaum, David Landhuis, Pavel Laptev, Lily Laws, Kenny Lee, Brian J. Lester, Alexander Lill, Wayne Liu, Aditya Locharla, Erik Lucero, Trevor McCourt, Matt McEwen, Xiao Mi, Kevin C. Miao, Shirin Montazeri, Alexis Morvan, Matthew Neeley, Charles Neill, Ani Nersisyan, Jiun How Ng, Anthony Nguyen, Murray Nguyen, Rebecca Potter, Chris Quintana, Pedram Roushan, Kannan Sankaragomathi, Kevin J. Satzinger, Christopher Schuster, Michael J. Shearn, Aaron Shorter, Vladimir Shvarts, Jindra Skruzny, W. Clarke Smith, Marco Szalay, Alfredo Torres, Bryan W. K. Woo, Z. Jamie Yao, Ping Yeh, Juhwan Yoo, Grayson Young, Ningfeng Zhu, Nicholas Zobrist, Yu Chen, Anthony Megrant, Julian Kelly, Ofer Naaman
We demonstrate a high dynamic range Josephson parametric amplifier (JPA) in which the active nonlinear element is implemented using an array of rf-SQUIDs. The device is matched to the 50 $\Omega$ environment with a Klopfenstein-taper impedance transf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e07240ba2fe7a867a743edf6d33e659
http://arxiv.org/abs/2209.07757
http://arxiv.org/abs/2209.07757
Publikováno v:
PRX Quantum. 2
Surplus of entanglement is shown to hinder the successful training of quantum machine learning algorithms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76f22b3dff26e10ca36b576b69e228ae
https://doi.org/10.1103/prxquantum.2.040316
https://doi.org/10.1103/prxquantum.2.040316
Autor:
Ian D. Kivlichan, Mária Kieferová, Matthias Degroote, Tim Menke, Libor Veis, Nicolas P. D. Sawaya, Yudong Cao, Peter D. Johnson, Alán Aspuru-Guzik, Jonathan Romero, Jonathan P. Olson, Borja Peropadre, Sukin Sim
Publikováno v:
Chemical reviews. 119(19)
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3290c8964b07ed8e4e54915cca7a8c4d
https://pubmed.ncbi.nlm.nih.gov/31469277
https://pubmed.ncbi.nlm.nih.gov/31469277
Heat-bath algorithmic cooling (HBAC) provides algorithmic ways to improve the purity of quantum states. These techniques are complex iterative processes that change from each iteration to the next and this poses a significant challenge to implementin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::396d0191ca384c1e93dacfafbd4764f0
Autor:
Mária Kieferová, Craig Gidney, Nathan Wiebe, Artur Scherer, Guang Hao Low, Yuval R. Sanders, Dominic W. Berry, Ryan Babbush
Publikováno v:
npj Quantum Information, Vol 4, Iss 1, Pp 1-7 (2018)
Modeling low energy eigenstates of fermionic systems can provide insight into chemical reactions and material properties and is one of the most anticipated applications of quantum computing. We present three techniques for reducing the cost of prepar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1bd70cf0b99d8851eb4e0cd654c43a5
https://hdl.handle.net/10453/161201
https://hdl.handle.net/10453/161201
We provide a general method for efficiently simulating time-dependent Hamiltonian dynamics on a circuit-model-based quantum computer. Our approach is based on approximating the truncated Dyson series of the evolution operator, extending the earlier p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa21a9613e34d9a6683fb1928cd67601
http://arxiv.org/abs/1805.00582
http://arxiv.org/abs/1805.00582