Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Paraj Titum"'
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p L032003 (2024)
Entanglement exhibits universal behavior near the ground-state critical point where correlations are long ranged and the thermodynamic entropy is vanishing. On the other hand, a quantum quench imparts extensive energy and results in a build up of ent
Externí odkaz:
https://doaj.org/article/2c84d14b70e24e729a8b9fff6b0f41f4
Publikováno v:
npj Quantum Information, Vol 7, Iss 1, Pp 1-8 (2021)
Abstract Quantum systems are promising candidates for sensing of weak signals as they can be highly sensitive to external perturbations, thus providing excellent performance when estimating parameters of external fields. However, when trying to detec
Externí odkaz:
https://doaj.org/article/4dc5edd92d3547f88fe1b2ff37e3c42c
Publikováno v:
Physical Review Research, Vol 3, Iss 3, p 033229 (2021)
Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them. Autoregressive moving average (ARMA) models are a well-kn
Externí odkaz:
https://doaj.org/article/dbcb293c3f094833b1d28576cfa0708a
Autor:
Przemyslaw Bienias, James Douglas, Asaf Paris-Mandoki, Paraj Titum, Ivan Mirgorodskiy, Christoph Tresp, Emil Zeuthen, Michael J. Gullans, Marco Manzoni, Sebastian Hofferberth, Darrick Chang, Alexey V. Gorshkov
Publikováno v:
Physical Review Research, Vol 2, Iss 3, p 033049 (2020)
We study the dissipative propagation of quantized light in interacting Rydberg media under the conditions of electromagnetically induced transparency. Rydberg blockade physics in optically dense atomic media leads to strong dissipative interactions b
Externí odkaz:
https://doaj.org/article/69fd63ae2da3443d822ba21fbacdc23f
Autor:
Fangli Liu, Seth Whitsitt, Jonathan B. Curtis, Rex Lundgren, Paraj Titum, Zhi-Cheng Yang, James R. Garrison, Alexey V. Gorshkov
Publikováno v:
Physical Review Research, Vol 2, Iss 1, p 013323 (2020)
We use Nielsen's geometric approach to quantify the circuit complexity in a one-dimensional Kitaev chain across a topological phase transition. We find that the circuit complexities of both the ground states and nonequilibrium steady states of the Ki
Externí odkaz:
https://doaj.org/article/99757b57ef0042ff942ef2a2d414fe53
Publikováno v:
Physical Review X, Vol 6, Iss 2, p 021013 (2016)
We show that two-dimensional periodically driven quantum systems with spatial disorder admit a unique topological phase, which we call the anomalous Floquet-Anderson insulator (AFAI). The AFAI is characterized by a quasienergy spectrum featuring chir
Externí odkaz:
https://doaj.org/article/b1473d9cc9664d58b6a89bd57729af24
We demonstrate the use of matrix product state (MPS) models for discriminating quantum data on quantum computers using holographic algorithms, focusing on classifying a translationally invariant quantum state based on $L$ qubits of quantum data extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7da95c3167eab7e718ff80f71dbbd3c
Publikováno v:
Physical Review A. 103
We show that space- and time-correlated single-qubit rotation errors can lead to high-weight errors in a quantum circuit when the rotation angles are drawn from heavy-tailed distributions. This leads to a breakdown of quantum error correction, yieldi
Autor:
Kevin Schultz, Andrew Murphy, Helena Yoest, Gregory Quiroz, Leigh Norris, Colin J. Trout, Mayra Amezcua, Brian Tien-Street, Samuel Bibelhauser, Tom Gilliss, Eric D. Curtis, Christopher A. Watson, Paraj Titum, Timothy Sweeney
Publikováno v:
Quantum Information and Measurement VI 2021.
We experimentally execute recently developed quantum signal detection protocols and show that they remain effective when applied to real-world communications signals that do not meet the assumptions of the original formulation of the protocol.
Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them. Autoregressive moving average (ARMA) models are a well-kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81b67f4b91d61b5c80ec6793bc755675
http://arxiv.org/abs/2010.04580
http://arxiv.org/abs/2010.04580