Zobrazeno 1 - 10
of 16 580
pro vyhledávání: '"Economou A"'
Network science has presented community detection as a valuable tool for revealing the functional modules in complex systems as rooted in the wiring architectures of complex networks. The varying procedures of community detection can produce, however
Externí odkaz:
http://arxiv.org/abs/2409.12852
Autor:
Gustafson, Erik, Sherbert, Kyle, Florio, Adrien, Shirali, Karunya, Chen, Yanzhu, Lamm, Henry, Valgushev, Semeon, Weichselbaum, Andreas, Economou, Sophia E., Pisarski, Robert D., Tubman, Norm M.
Inspired by recent advancements of simulating periodic systems on quantum computers, we develop a new approach, (SC)$^2$-ADAPT-VQE, to further advance the simulation of these systems. Our approach extends the scalable circuits ADAPT-VQE framework, wh
Externí odkaz:
http://arxiv.org/abs/2408.12641
Autor:
Lei, Mi, Fukumori, Rikuto, Wu, Chun-Ju, Barnes, Edwin, Economou, Sophia, Choi, Joonhee, Faraon, Andrei
Studying and controlling quantum many-body interactions is fundamentally important for quantum science and related emerging technologies. Optically addressable solid-state spins offer a promising platform for exploring various quantum many-body pheno
Externí odkaz:
http://arxiv.org/abs/2408.00252
We propose a generative quantum learning algorithm, R\'enyi-ADAPT, using the Adaptive Derivative-Assembled Problem Tailored ansatz (ADAPT) framework in which the loss function to be minimized is the maximal quantum R\'enyi divergence of order two, an
Externí odkaz:
http://arxiv.org/abs/2408.00218
Photonic graph states are important for measurement- and fusion-based quantum computing, quantum networks, and sensing. They can in principle be generated deterministically by using emitters to create the requisite entanglement. Finding ways to minim
Externí odkaz:
http://arxiv.org/abs/2407.15777
Autor:
Economou, Theo, Parliari, Daphne, Tobias, Aurelio, Dawkins, Laura, Stoner, Oliver, Steptoe, Hamish, Lowe, Rachel, Athanasiadou, Maria, Sarran, Christophe, Lelieveld, Jos
We present a statistical modelling framework for implementing Distributed Lag Models (DLMs), encompassing several extensions of the approach to capture the temporally distributed effect from covariates via regression. We place DLMs in the context of
Externí odkaz:
http://arxiv.org/abs/2407.13374
In the framework of non-Hermitian photonics, we investigate the interplay between disorder and non-Hermiticity in a one-dimensional Hatano-Nelson lattice. While Anderson localization dictates the wave's evolution in conservative random systems, the i
Externí odkaz:
http://arxiv.org/abs/2407.10746
Autor:
Ramôa, Mafalda, Anastasiou, Panagiotis G., Santos, Luis Paulo, Mayhall, Nicholas J., Barnes, Edwin, Economou, Sophia E.
Adaptive variational quantum algorithms arguably offer the best prospects for quantum advantage in the NISQ era. Since the inception of the first such algorithm, ADAPT-VQE, many improvements have appeared in the literature. We combine the key improve
Externí odkaz:
http://arxiv.org/abs/2407.08696
Autor:
Long, Christopher K., Mayhall, Nicholas J., Economou, Sophia E., Barnes, Edwin, Barnes, Crispin H. W., Martins, Frederico, Arvidsson-Shukur, David R. M., Mertig, Normann
Standing as one of the most significant barriers to reaching quantum advantage, state-preparation fidelities on noisy intermediate-scale quantum processors suffer from quantum-gate errors, which accumulate over time. A potential remedy is pulse-based
Externí odkaz:
http://arxiv.org/abs/2406.10913
In conventional variational quantum eigensolvers (VQEs), trial states are prepared by applying series of parameterized gates to a reference state, with the gate parameters being varied to minimize the energy of the target system. Recognizing that the
Externí odkaz:
http://arxiv.org/abs/2405.15166