44 citations · 200 across the 10 of their papers we have counts for
10 papers
Certifying fermionic Gaussian states (and a little more) with optimal precision dependence
Ninnat Dangniam, Laphas Premcharoen, Metrasit Sripech +1
Fermionic Gaussian states are the workhorse reference states for qubit-based quantum simulation of fermionic systems, yet existing certification protocols either proceed via fideli…
Quantum Next Generation Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics
Apimuk Sornsaeng, Ninnat Dangniam, Thiparat Chotibut
Next Generation Reservoir Computing (NG-RC) is a modern class of model-free machine learning that enables an accurate forecasting of time series data generated by dynamical systems…
Quantum diffusion map for nonlinear dimensionality reduction
Apimuk Sornsaeng, Ninnat Dangniam, Pantita Palittapongarnpim +1
Inspired by random walk on graphs, diffusion map (DM) is a class of unsupervised machine learning that offers automatic identification of low-dimensional data structure hidden in a…
Quantum supremacy and quantum phase transitions
Supanut Thanasilp, Jirawat Tangpanitanon, Marc-Antoine Lemonde +2
Demonstrating the ability of existing quantum platforms to perform certain computational tasks intractable to classical computers represents a cornerstone in quantum computing. Des…
Fermion Sampling: a robust quantum computational advantage scheme using fermionic linear optics and magic input states
Michał Oszmaniec, Ninnat Dangniam, Mauro E. S. Morales +1
Fermionic Linear Optics (FLO) is a restricted model of quantum computation which in its original form is known to be efficiently classically simulable. We show that, when initializ…
Optimal verification of stabilizer states
Ninnat Dangniam, Yun-Guang Han, Huangjun Zhu
Statistical verification of a quantum state aims to certify whether a given unknown state is close to the target state with confidence. So far, sample-optimal verification protocol…
Expressibility and trainability of parameterized analog quantum systems for machine learning applications
Jirawat Tangpanitanon, Supanut Thanasilp, Ninnat Dangniam +2
Parameterized quantum evolution is the main ingredient in variational quantum algorithms for near-term quantum devices. In digital quantum computing, it has been shown that random…
Quantum supremacy in driven quantum many-body systems
Jirawat Tangpanitanon, Supanut Thanasilp, Marc-Antoine Lemonde +2
A crucial milestone in the field of quantum simulation and computation is to demonstrate that a quantum device can compute certain tasks that are impossible to reproduce by a class…
On the novelty, efficacy, and significance of weak measurements for quantum tomography
Jonathan A. Gross, Ninnat Dangniam, Christopher Ferrie +1
The use of weak measurements for performing quantum tomography is enjoying increased attention due to several recent proposals. The advertised merits of using weak measurements in…
Quantum Bochner's theorem for phase spaces built on projective representations
Ninnat Dangniam, Christopher Ferrie
Bochner's theorem gives the necessary and sufficient conditions on a function such that its Fourier transform corresponds to a true probability density function. In the Wigner phas…