18 citations · 27 across the 3 of their papers we have counts for
4 papers
Quantum state tomography with tensor train cross approximation
Alexander Lidiak, Casey Jameson, Zhen Qin +4
It has been recently shown that a state generated by a one-dimensional noisy quantum computer is well approximated by a matrix product operator with a finite bond dimension indepen…
Error Analysis of Tensor-Train Cross Approximation
Zhen Qin, Alexander Lidiak, Zhexuan Gong +3
Tensor train decomposition is widely used in machine learning and quantum physics due to its concise representation of high-dimensional tensors, overcoming the curse of dimensional…
Implementing two-qubit gates at the quantum speed limit
Joel Howard, Alexander Lidiak, Casey Jameson +8
The speed of elementary quantum gates, particularly two-qubit gates, ultimately sets the limit on the speed at which quantum circuits can operate. In this work, we experimentally d…
Unsupervised machine learning of quantum phase transitions using diffusion maps
Alexander Lidiak, Zhexuan Gong
Experimental quantum simulators have become large and complex enough that discovering new physics from the huge amount of measurement data can be quite challenging, especially when…