Zobrazeno 1 - 10
of 1 829
pro vyhledávání: '"Causer, A."'
Diffusion models (DMs) are a class of generative machine learning methods that sample a target distribution by transforming samples of a trivial (often Gaussian) distribution using a learned stochastic differential equation. In standard DMs, this is
Externí odkaz:
http://arxiv.org/abs/2407.11133
Autor:
Blyth, James, Sridhar, Sadhana, Zhao, Mengting, Ali2, Sajid, Vu, Thi Hai Yen, Li, Qile, Maniatis, Johnathon, Causer, Grace, Fuhrer, Michael S., Medhekar, Nikhil V., Tadich, Anton, Edmonds, Mark
The kagome metal FeSn, consists of alternating layers of kagome-lattice Fe3Sn and honeycomb Sn2, and exhibits great potential for applications in future low energy electronics and spintronics because of an ideal combination of novel topological phase
Externí odkaz:
http://arxiv.org/abs/2407.06587
Autor:
Cortie, David L., Causer, Grace L., Rule, Kirrily C., Fritzsche, Helmut, Kreuzpaintner, Wolfgang, Klose, Frank
Publikováno v:
Adv. Funct. Mater. 2020, 30, 1901414
The recent discovery of two-dimensional magnetic order in van-der Waals materials has stimulated a renaissance in the field of atomically-thin magnets. This has led to promising demonstrations of spintronic functionality such as tunneling magnetoresi
Externí odkaz:
http://arxiv.org/abs/2406.13206
We study the non-equilibrium dynamics of the dissipative quantum East model via numerical tensor networks. We use matrix product states to represent evolution under quantum-jump unravellings for sizes beyond those accessible to exact diagonalisation.
Externí odkaz:
http://arxiv.org/abs/2404.03750
Publikováno v:
Phys. Rev. B 110, 134322 (2024)
We study the dynamics and thermalization of the Fredkin spin chain, a system with local three-body interactions, particle conservation and explicit kinetic constraints. We consider deformations away from its stochastic point in order to tune between
Externí odkaz:
http://arxiv.org/abs/2403.03986
Publikováno v:
Phys. Rev. Research 6, 033062 (2024)
The advent of near-term digital quantum computers could offer us an exciting opportunity to investigate quantum many-body phenomena beyond that of classical computing. To make the best use of the hardware available, it is paramount that we have metho
Externí odkaz:
http://arxiv.org/abs/2312.14245
Autor:
Harrison D. Collier-Bain, Frankie F. Brown, Adam J. Causer, Lois Ross, Daniela Rothschild-Rodriguez, Noah Browne, Rachel Eddy, Kirstie L. Cleary, Juliet C. Gray, Mark S. Cragg, Sally Moore, James Murray, James E. Turner, John P. Campbell
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Complement-dependent cytotoxicity (CDC) is a primary mechanism-of-action of monoclonal antibody (mAb) immunotherapies used to treat haematological cancers, including rituximab and daratumumab. However, mAb efficacy may be limited by reduced
Externí odkaz:
https://doaj.org/article/05c09f05aa634c8b8fd55a17bc92a64f
We show how the trajectories of $d$-dimensional cellular automata (CA) can be used to determine the ground states of $(d+1)$-dimensional classical spin models, and we characterise their quantum phase transition, when in the presence of a transverse m
Externí odkaz:
http://arxiv.org/abs/2309.08059
Most iterative neural network training methods use estimates of the loss function over small random subsets (or minibatches) of the data to update the parameters, which aid in decoupling the training time from the (often very large) size of the train
Externí odkaz:
http://arxiv.org/abs/2306.13442
Publikováno v:
Phys. Rev. B 109, 024307 (2024)
Continuous-time quantum Monte Carlo refers to a class of algorithms designed to sample the thermal distribution of a quantum Hamiltonian through exact expansions of the Boltzmann exponential in terms of stochastic trajectories which are periodic in i
Externí odkaz:
http://arxiv.org/abs/2305.08935