The peer-reviewed article “Constant-Depth Preparation of Matrix Product States with Adaptive Quantum Circuits“ by Kevin C. Smith, Abid Khan, Bryan K. Clark, S.M. Girvin, and Tzu-Chieh Wei published in PRX Quantum has been selected for the APS International Year of Quantum Collection under the section “Route to Outsmarting Classical Processing”
“In this paper, the authors demonstrate that translationally invariant matrix product states (MPS), a powerful ansatz for studying 1D quantum systems, can be prepared on quantum computers using constant-depth adaptive circuits. This is a surprising result given that even the simplest of MPS, such as the GHZ state, can exhibit long-range correlations. The key innovation lies in leveraging intermediate measurements and classical feedforward, features essential for fault-tolerant quantum computing, to achieve a divide-and-conquer construction of the state. This approach not only outperforms the best-known unitary circuit preparations but also paves the way for incorporating these techniques into early quantum hardware as a powerful subroutine.”
— Daniel Stilck França (INRIA, France)