Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Li, Andy"'
Autor:
Gustafson, Erik J., Tiihonen, Juha, Chamaki, Diana, Sorourifar, Farshud, Mullinax, J. Wayne, Li, Andy C. Y., Maciejewski, Filip B., Sawaya, Nicolas PD, Krogel, Jaron T., Neira, David E. Bernal, Tubman, Norm M.
Variational quantum eigensolvers are touted as a near-term algorithm capable of impacting many applications. However, the potential has not yet been realized, with few claims of quantum advantage and high resource estimates, especially due to the nee
Externí odkaz:
http://arxiv.org/abs/2404.02951
Autor:
Li, Andy C. Y., Hernandez, Imanol
Variational quantum algorithms are promising candidates for delivering practical quantum advantage on noisy intermediate-scale quantum (NISQ) hardware. However, optimizing the noisy cost functions associated with these algorithms is challenging for s
Externí odkaz:
http://arxiv.org/abs/2403.02762
Mechanisms for suppressing thermalization in disorder-free many-body systems, such as Hilbert space fragmentation and quantum many-body scars, have recently attracted much interest in foundations of quantum statistical physics and potential quantum i
Externí odkaz:
http://arxiv.org/abs/2309.11543
ChatGPT is phenomenal. However, it is prohibitively expensive to train and refine such giant models. Fortunately, small language models are flourishing and becoming more and more competent. We call them "mini-giants". We argue that open source commun
Externí odkaz:
http://arxiv.org/abs/2307.08189
Publikováno v:
Phys. Rev. A 109, 032419, 2024
Transferring quantum information between different types of quantum hardware is crucial for integrated quantum technology. In particular, converting information between continuous-variable (CV) and discrete-variable (DV) devices enables many applicat
Externí odkaz:
http://arxiv.org/abs/2305.03179
Publikováno v:
Expert Systems with Applications 2023
Federated Learning (FL) presents a decentralized approach to model training in the agri-food sector and offers the potential for improved machine learning performance, while ensuring the safety and privacy of individual farms or data silos. However,
Externí odkaz:
http://arxiv.org/abs/2304.09876
Autor:
Gustafson, Erik J., Li, Andy C. Y., Khan, Abid, Kim, Joonho, Kurkcuoglu, Doga Murat, Alam, M. Sohaib, Orth, Peter P., Rahmani, Armin, Iadecola, Thomas
Publikováno v:
Quantum 7, 1171 (2023)
Quantum many-body scar states are highly excited eigenstates of many-body systems that exhibit atypical entanglement and correlation properties relative to typical eigenstates at the same energy density. Scar states also give rise to infinitely long-
Externí odkaz:
http://arxiv.org/abs/2301.08226
Publikováno v:
Phys. Rev. A 107, 032603 (2023)
We present a quantum algorithm for implementing $\phi^4$ lattice scalar field theory on qubit computers. The field is represented in the discretized field amplitude basis. The number of qubits and elementary gates required by the implementation of th
Externí odkaz:
http://arxiv.org/abs/2210.07985
Autor:
Jahin, Ammar, Li, Andy C. Y., Iadecola, Thomas, Orth, Peter P., Perdue, Gabriel N., Macridin, Alexandru, Alam, M. Sohaib, Tubman, Norm M.
Publikováno v:
Phys. Rev. A 106, 022434 (2022)
We use the variational quantum eigensolver (VQE) to simulate Kitaev spin models with and without integrability breaking perturbations, focusing in particular on the honeycomb and square-octagon lattices. These models are well known for being exactly
Externí odkaz:
http://arxiv.org/abs/2204.05322
Publikováno v:
PRX Quantum 3, 040333 (2022)
As the number of qubits available on noisy quantum computers grows, it will become necessary to efficiently select a subset of physical qubits to use in a quantum computation. For any given quantum program and device there are many ways to assign phy
Externí odkaz:
http://arxiv.org/abs/2201.00445