203 citations · 380 across the 22 of their papers we have counts for
23 papers
Memory--Transport Competition in Physical Two-Bath Quantum Reset Dynamics
Jishad Kumar, Achilleas Lazarides, Tapio Ala-Nissila
Coherence preservation and environmental renewal offer competing ways of controlling quantum memory and transport. We show that a seemingly natural protocol which exactly replaces…
The ebbs and flows of quantum learning and sensing
Matias Karjula, Teemu Ojanen, Tapio Ala-Nissila +1
What is the relation between subsystem quantum complexity and the emergence of computationally useful structure? We address this by studying a family of minimally tunable postvaria…
Dislocation-loop formation is a first-order phase transition
Xiaoya Chang, Arsalan Hashemi, Nima Ghafari Cherati +3
Dislocation loops are the elementary product of radiation damage in crystals, limiting reactor-component lifetimes, power-electronics reliability and the coherence of solid-state q…
Machine-learning-driven kinetic discovery of carbon interstitial color centers in diamond
Xiaoya Chang, Arsalan Hashemi, Nima Ghafari Cherati +3
Diamond hosts optically active point defects central to quantum technologies, yet the carbon self-interstitials introduced during growth and irradiation compete with them and form…
TorchNEP: Ultra-Efficient and Accurate Training of Neuroevolution Potentials
Yong-Chao Wu, Xiaoya Chang, Tero Mäkinen +5
Neuroevolution Potential (NEP) is one of the most efficient machine-learned interatomic potential frameworks for large-scale atomistic simulations. However, its original training s…
Thermodynamics of Coherence-Selective Quantum Reset Protocols
Jishad Kumar, Achilleas Lazarides, Tapio Ala-Nissila
We develop an exact theory of coherence-selective stroboscopic resetting for quadratic open quantum systems within the single-particle density-matrix formalism. We focus on the sur…
Coherence-Controlled Quantum Zeno Dynamics from Exact Reset Maps
Jishad Kumar, Achilleas Lazarides, Tapio Ala-Nissila
We develop an exact framework for quantum Zeno and anti-Zeno dynamics in a broad class of open systems, whose microscopic Hamiltonians are quadratic in bosonic or fermionic operato…
Interaction-Enabled Hartree Fixed Points in Fermionic Resetting Dynamics
Jishad Kumar, Achilleas Lazarides, Tapio Ala-Nissila
In resetting dynamics, a system is repeatedly coupled to and decoupled from ancillary degrees of freedom that are reinitialized between interactions. This provides a versatile rout…
Nine-element machine-learned interatomic potentials for multiphase refractory alloys
Jesper Byggmästar, Tiago Lopes, Zheyong Fan +1
New refractory alloys are being continuously designed and characterised for applications requiring good high-temperature mechanical properties and stability. Computational design f…
Stabilisation of hBN/SiC Heterostructures with Vacancies and Transition-Metal Atoms
Arsalan Hashemi, Nima Ghafari Cherati, Sadegh Ghaderzadeh +3
When two-dimensional atomic layers of different materials are brought into close proximity to form van der Waals (vdW) heterostructures, interactions between adjacent layers signif…
Optimal quantum reservoir learning in proximity to universality
Moein N. Ivaki, Matias Karjula, Tapio Ala-Nissila
The study of the boundary between classically simulable and computationally complex quantum dynamics is fundamental to understanding which physical resources may enable enhanced in…
Timescales for stochastic barrier crossing: inferring the potential from nonequilibrium data
A. J. Archer, T. Ala-Nissila, T. J. W. Honour +1
Kramers' rate theory forms a cornerstone for thermally activated barrier crossing. However, its reliance on equilibrium quantities excludes analysis of nonequilibrium dynamics at e…
Dynamical learning and quantum memory with non-Hermitian many-body systems
Moein N. Ivaki, Austin J. Szuminsky, Achilleas Lazarides +3
Non-Hermitian (NH) systems provide a fertile platform for quantum technologies, owing in part to their distinct dynamical phases. These systems can be characterized by the preserva…
State-Based Quantum Simulation: Releasing the Powers of Quantum States and Copies
S. Alipour, A. T. Rezakhani, Alireza Tavanfar +2
Quantum computing employs controllable interactions to perform sequences of logical gates and entire algorithms on quantum registers. This paradigm has been widely explored, e.g.,…
NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements
Ting Liang, Ke Xu, Eric Lindgren +16
While machine-learned interatomic potentials offer near-quantum-mechanical accuracy for atomistic simulations, many are material-specific or computationally intensive, limiting the…
On-the-fly reparametrization of pairwise dispersion interactions for accurate and efficient molecular dynamics: Phase diagram of white phosphorus
Heikki Muhli, Tapio Ala-Nissila, Miguel A. Caro
Accurate estimation of the contribution from dispersion interactions to the total energy is important for many molecular systems and low-dimensional solids. In this work we demonst…
Boron Isotope Effects on Raman Scattering in Bulk BN, BP, and BAs: A Density-Functional Theory Study
Nima Ghafari Cherati, I. Abdolhosseini Sarsari, Arsalan Hashemi +1
For many materials, Raman spectra are intricately structured and provide valuable information about compositional stoichiometry and crystal quality. Here we use density-functional…
Quantum reservoir computing on random regular graphs
Moein N. Ivaki, Achilleas Lazarides, Tapio Ala-Nissila
Quantum reservoir computing (QRC) is a low-complexity learning paradigm that combines the inherent dynamics of input-driven many-body quantum systems with classical learning techni…
Density dependence of thermal conductivity in nanoporous and amorphous carbon with machine-learned molecular dynamics
Yanzhou Wang, Zheyong Fan, Ping Qian +2
Disordered forms of carbon are an important class of materials for applications such as thermal management. However, a comprehensive theoretical understanding of the structural dep…
General-purpose machine-learned potential for 16 elemental metals and their alloys
Keke Song, Rui Zhao, Jiahui Liu +25
Machine-learned potentials (MLPs) have exhibited remarkable accuracy, yet the lack of general-purpose MLPs for a broad spectrum of elements and their alloys limits their applicabil…
Mutual Information is not a Reliable Measure for Variations in Total Correlations
S. Alipour, S. Tuohino, A. T. Rezakhani +1
Correlations disguised in various forms underlie a host of important phenomena in classical and quantum systems, such as information and energy exchanges. The quantum mutual inform…
Quantum Treatment for Bose-Einstein Condensation in Non-Equilibrium Systems
H. Flayac, I. G. Savenko, M. Möttönen +1
We develop an approach based on stochastic quantum trajectories for an incoherently pumped system of interacting bosons relaxing their energy in a thermal reservoir. Our approach e…
Distribution of Entropy Production in a Single-Electron Box
J. V. Koski, T. Sagawa, O. -P. Saira +6
Recently, the fundamental laws of thermodynamics have been reconsidered for small systems. The discovery of the fluctuation relations has spurred theoretical and experimental studi…