Exponential quantum speedups for near-term molecular electronic structure methods
Oskar Leimkuhler, K. Birgitta Whaley
TL;DR
The paper addresses whether near-term quantum circuits can offer provable speedups for molecular electronic-structure problems. It proves that particle-number conserving orbital-rotation circuits augmented with fermionic magic states are universal under post-selection, implying $\mathsf{GapP}$-hard strong simulation and $\mathsf{PH}$-hard weak simulation, and it shows that polynomial-depth generalized UCCSD circuits yield $\mathsf{BQP}$-complete hardness for output probabilities. These hardness results are then applied to quantum non-orthogonal multi-reference methods (TNQE and NOQE), revealing that estimating off-diagonal matrix elements and certain expectation values are intractable for classical algorithms under standard complexity assumptions, while still enabling practical near-term quantum-classical hybrids with linear-depth reference-state circuits. The work also discusses explicit candidate systems with static and dynamic electron correlation (e.g., transition-metal catalysis and Mn-containing complexes) where near-term quantum hardware could achieve meaningful quantum advantage. Overall, the results provide theoretical evidence for super-polynomial quantum speedups in quantum chemistry, particularly for strongly correlated regimes, and guide the design of near-term, low-depth quantum algorithms and reference-state architectures.
Abstract
We prove classical simulation hardness, under the generalized $\mathsf{P}\neq\mathsf{NP}$ conjecture, for quantum circuit families with applications in near-term chemical ground state estimation. The proof exploits a connection to particle number conserving matchgate circuits with fermionic magic state inputs, which are shown to be universal for quantum computation under post-selection, and are therefore not classically simulable in the worst case, in either the strong (multiplicative) or weak (sampling) sense. We apply this result to quantum non-orthogonal multi-reference methods designed for near-term hardware by ruling out certain dequantization strategies for computing the off-diagonal matrix elements between reference states. We demonstrate these quantum speedups for two choices of ansatz that incorporate both static and dynamic correlations to model the electronic eigenstates of molecular systems: linear combinations of orbital-rotated matrix product states, which are preparable in linear depth, and linear combinations of states prepared by generalized UCCSD circuits of polynomial depth, for which computing the expectation values of local fermionic observables up to a constant additive error is $\mathsf{BQP}$-complete. We discuss the implications for achieving practical quantum advantage in resolving the electronic structure of catalytic systems composed from multivalent transition metal atoms using near-term quantum hardware.
