activity
20142025
most citedOn fundamental aspects of quantum extreme learning machines

29 citations · 149 across the 27 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cond-mat.stat-mech2025

Aging in a two-dimensional swarmalator crystal with delayed interactions

Chanin Kumpeerakij, Thiparat Chotibut, Oleg Kogan

Time delay can have a significant impact on the properties of collective organization of active matter. In the previous paper [1], we discussed delay-induced breathing in a system…

quant-ph2025

Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms

Kasidit Srimahajariyapong, Supanut Thanasilp, Thiparat Chotibut

Variational quantum algorithms (VQAs) promise near-term quantum advantage, yet parametrized quantum states commonly built from the digital gate-based approach often suffer from sca…

quant-ph2025

Role of scrambling and noise in temporal information processing with quantum systems

Weijie Xiong, Zoë Holmes, Armando Angrisani +3

Scrambling quantum systems have attracted attention as effective substrates for temporal information processing. Here we consider a quantum reservoir processing framework that capt…

quant-ph2025

A unifying account of warm start guarantees for patches of quantum landscapes

Hela Mhiri, Ricard Puig, Sacha Lerch +4

Barren plateaus are fundamentally a statement about quantum loss landscapes on average but there can, and generally will, exist patches of barren plateau landscapes with substantia…

quant-ph2025

Dissipation alters modes of information encoding in small quantum reservoirs near criticality

Krai Cheamsawat, Thiparat Chotibut

Quantum reservoir computing (QRC) has emerged as a promising paradigm for harnessing near-term quantum devices to tackle temporal machine learning tasks. Yet identifying the mechan…

quant-ph2025

Practical Quantum Circuit Implementation for Simulating Coupled Classical Oscillators

Natt Luangsirapornchai, Peeranat Sanglaor, Apimuk Sornsaeng +4

Simulating large-scale coupled-oscillator systems presents substantial computational challenges for classical algorithms, particularly when pursuing first-principles analyses in th…

cond-mat.mtrl-sci2025★ 3 cited

CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks

Krit Tangsongcharoen, Teerachote Pakornchote, Chayanon Atthapak +6

Determining whether a candidate crystalline material is thermodynamically stable depends on identifying its true ground-state structure, a central challenge in computational materi…