The authors prove a benign optimization landscape for a Pauli-based diagonalization cost, but the claimed new family of efficiently diagonalizable Hamiltonians is invalid as stated because its 'diagonal' D includes Y operators, and the experiments are warm-started from exact eigensolutions.
Optimally generating $\mathfrak{su}(2^N)$ using Pauli strings
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Any quantum computation consists of a sequence of unitary evolutions described by a finite set of Hamiltonians. When this set is taken to consist of only products of Pauli operators, we show that the minimal such set generating $\mathfrak{su}(2^{N})$ contains $2N+1$ elements. We provide a number of examples of such generating sets and furthermore provide an algorithm for producing a sequence of rotations corresponding to any given Pauli rotation, which is shown to have optimal complexity. We also observe that certain sets generate $\mathfrak{su}(2^{N})$ at a faster rate than others, and we show how this rate can be optimized by tuning the fraction of anticommuting pairs of generators. Finally, we briefly comment on implications for measurement-based and trapped ion quantum computation as well as the construction of fault-tolerant gate sets.
citation-role summary
citation-polarity summary
fields
quant-ph 1years
2025 1verdicts
REJECT 1roles
method 1polarities
support 1representative citing papers
citing papers explorer
-
Classical optimization algorithms for diagonalizing quantum Hamiltonians
The authors prove a benign optimization landscape for a Pauli-based diagonalization cost, but the claimed new family of efficiently diagonalizable Hamiltonians is invalid as stated because its 'diagonal' D includes Y operators, and the experiments are warm-started from exact eigensolutions.