English

The Quantum Paldus Transform: Efficient Circuits with Applications

Quantum Physics 2025-10-14 v2 Representation Theory

Abstract

We present the Quantum Paldus Transform: an efficient quantum algorithm for block-diagonalising fermionic, spin-free Hamiltonians in the second quantisation. Our algorithm implements an isometry between the occupation number basis of a fermionic Fock space of 2d2d modes, and the Gelfand-Tsetlin (GT) states spanning irreducible representations of the group U(d)×SU(2)U(d) \times SU(2). The latter forms a basis indexed by well-defined values of total particle number NN, global spin SS, spin projection MM, and U(d)U(d) GT patterns. This realises the antisymmetric unitary-unitary duality discovered by Howe and developed into the Unitary Group Approach (UGA) for computational chemistry by Paldus and Shavitt in the 1970s. The Paldus transform lends tools from the UGA readily applicable to quantum computational chemistry, leading to maximally sparse representations of spin-free Hamiltonians, efficient preparation of Configuration State Functions, and a direct interpretation of quantum chemistry reduced density matrix elements in terms of SU(2)SU(2) angular momentum coupling. The transform also enables the encoding of quantum information into novel Decoherence-Free Subsystems for use in communication and error mitigation. Our work can be seen as a generalisation of the quantum Schur transform for the second quantisation, made tractable by the Pauli exclusion principle. Alongside self-contained derivations of the underlying dualities we provide fault-tolerant circuit compilation methods with full gate counts for the Paldus transform, resulting in O(d3)\mathcal{O}(d^3) Toffoli complexity, where a transform on 5050 spatial orbitals would require a modest 55005500 Toffoli gates. This paves the way for significant advancements in quantum simulation on quantum computers enabled by the UGA paradigm.

Keywords

Cite

@article{arxiv.2506.09151,
  title  = {The Quantum Paldus Transform: Efficient Circuits with Applications},
  author = {Jędrzej Burkat and Nathan Fitzpatrick},
  journal= {arXiv preprint arXiv:2506.09151},
  year   = {2025}
}

Comments

94 pages, 57 figures; v2 contains new Toffoli counts

R2 v1 2026-07-01T03:09:47.588Z