Zobrazeno 1 - 10
of 2 487
pro vyhledávání: '"P Tindall"'
We study time-crystalline order in periodically driven quantum Ising models on disorder-free decorated lattices. Using a tensor network ansatz for the state which reflects the geometry of a unit cell of the lattice, we show through finite entanglemen
Externí odkaz:
http://arxiv.org/abs/2411.00651
Tensor networks are a compressed format for multi-dimensional data. One-dimensional tensor networks -- often referred to as tensor trains (TT) or matrix product states (MPS) -- are increasingly being used as a numerical ansatz for continuum functions
Externí odkaz:
http://arxiv.org/abs/2410.03572
Despite its ubiquity, many-body dispersion remains poorly understood. Here we investigate the distribution of entanglement in quantum Drude oscillator assemblies, minimal models for dispersion bound systems. We analytically determine a relation betwe
Externí odkaz:
http://arxiv.org/abs/2407.04111
Autor:
Tindall, Joseph, Sels, Dries
We study the emergence of confinement in the transverse field Ising model on a decorated hexagonal lattice. Using an infinite tensor network state optimised with belief propagation we show how a quench from a broken symmetry state leads to striking n
Externí odkaz:
http://arxiv.org/abs/2402.01558
The interplay between delocalisation and repulsive interactions can cause electronic systems to undergo a Mott transition between a metal and an insulator. Here we use neural network hidden fermion determinantal states (HFDS) to uncover this transiti
Externí odkaz:
http://arxiv.org/abs/2311.05749
Autor:
Tindall, Joseph, Fishman, Matthew T.
Publikováno v:
SciPost Phys. 15, 222 (2023)
Effectively compressing and optimizing tensor networks requires reliable methods for fixing the latent degrees of freedom of the tensors, known as the gauge. Here we introduce a new algorithm for gauging tensor networks using belief propagation, a me
Externí odkaz:
http://arxiv.org/abs/2306.17837
Publikováno v:
PRX Quantum 5, 010308 (2024)
We report an accurate and efficient classical simulation of a kicked Ising quantum system on the heavy-hexagon lattice. A simulation of this system was recently performed on a 127 qubit quantum processor using noise mitigation techniques to enhance a
Externí odkaz:
http://arxiv.org/abs/2306.14887
Autor:
Yong Sun, Haibin Wu, Lin Ding, Lixin Chen, Christian Stepanek, Yan Zhao, Ning Tan, Baohuang Su, Xiayu Yuan, Wenchao Zhang, Bo Liu, Stephen Hunter, Alan Haywood, Ayako Abe-Ouchi, Bette Otto-Bliesner, Camille Contoux, Daniel J. Lunt, Aisling Dolan, Deepak Chandan, Gerrit Lohmann, Harry Dowsett, Julia Tindall, Michiel Baatsen, W. Richard Peltier, Qiang Li, Ran Feng, Ulrich Salzmann, Wing-Le Chan, Zhongshi Zhang, Charles J. R. Williams, Gilles Ramstein
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract The mid-Piacenzian warm period (MPWP, ~3.264–3.025 Ma) has gained widespread interest due to its partial analogy with future climate. However, quantitative data–model comparison of East Asian Summer Monsoon (EASM) precipitation during th
Externí odkaz:
https://doaj.org/article/a17bf41105bb4dd0bbb313e85f2643de
Autor:
Searle, Amy, Tindall, Joseph
Publikováno v:
Phys. Rev. Res. 6 (1 Jan. 2024)
We utilise the graphon--a continuous mathematical object which represents the limit of convergent sequences of dense graphs--to formulate a general, continuous description of quantum spin systems in thermal equilibrium when the average co-ordination
Externí odkaz:
http://arxiv.org/abs/2303.00731
Autor:
Victoria Norton, Carol Wagstaff, Julia Rodriguez Garcia, Alison Lovegrove, Peter Shewry, Mark Charlton, Nicola Gillett, Marcus John Tindall, Stella Lignou
Publikováno v:
Current Developments in Nutrition, Vol 8, Iss 9, Pp 104430- (2024)
Background: Sufficient dietary fiber consumption is associated with well-established health benefits, yet such intake is currently suboptimal globally. Thus, there is interest in developing strategies to improve dietary fiber intake. One such approac
Externí odkaz:
https://doaj.org/article/ddeb8dc351ff48af86f1063ea9bd17cf