A numerical optimization framework automatically synthesizes dynamic quantum circuits for state and unitary preparation, achieving shallower circuits at the cost of extra ancillas and mid-circuit measurement errors.
Characterizing MPS and PEPS Preparable via Measurement and Feedback
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Preparing long-range entangled states poses significant challenges for near-term quantum devices. It is known that measurement and feedback (MF) can aid this task by allowing the preparation of certain paradigmatic long-range entangled states with only constant circuit depth. Here we systematically explore the structure of states that can be prepared using constant-depth local circuits and a single MF round. Using the framework of tensor networks, the preparability under MF translates to tensor symmetries. We detail the structure of matrix-product states (MPS) and projected entangled-pair states (PEPS) that can be prepared using MF, revealing the coexistence of Clifford-like properties and magic. In one dimension, we show that states with abelian symmetry protected topological order are a restricted class of MF-preparable states. In two dimensions, we parameterize a subset of states with abelian topological order that are MF-preparable. Finally, we discuss the analogous implementation of operators via MF, providing a structural theorem that connects to the well-known Clifford teleportation.
citation-role summary
citation-polarity summary
fields
quant-ph 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
AC/DC: Automated Compilation for Dynamic Circuits
A numerical optimization framework automatically synthesizes dynamic quantum circuits for state and unitary preparation, achieving shallower circuits at the cost of extra ancillas and mid-circuit measurement errors.