7–11 Dec 2026
The University of Sydney
Australia/Sydney timezone
AIP Congress 2026

Spectral amplification for simulation of electronic structure of materials in first quantisation

Not scheduled
20m
Belinda Hutchinson Building (The University of Sydney )

Belinda Hutchinson Building

The University of Sydney

Abercrombie St & Codrington St NSW 2008
Contributed Oral AIP | Quantum Science and Technology (QST)

Description

Simulating the quantum properties of molecules and materials is a leading application for quantum computing, with the primary task being the estimation of ground-state energies. Recent advances leverage spectral amplification, a technique that encodes an operator with amplified eigenvalues relative to the system Hamiltonian. By expressing the Hamiltonian as a sum of squares and block-encoding it using oblivious amplitude amplification, we obtain an operator with eigenphases $\phi_k = \arccos(2(E_k+\beta)/\lambda - 1)$, parameterised by an offset $\beta$ and scaling factor $\lambda$. The nonlinearity of the arccosine function near zero translates to highly accurate estimation of the Hamiltonian's eigenvalues, $E_k$.

We previously applied this technique to second-quantised molecular simulations, where qubits encode the occupation of fixed orbitals, reducing the gate complexity for the benchmark FeMoco cluster by over an order of magnitude. However, simulating periodic solid-state materials requires very different methods. It is most effectively treated in first quantisation using a plane-wave basis, where quantum registers instead encode the momenta of individual electrons. In this work, we extend spectral amplification to the quantum simulation of materials.

We present a highly efficient method for expressing the first-quantised plane-wave Hamiltonian as a sum of squares. This formulation yields an asymptotic gate complexity of $\mathcal{O}\left(\eta^2\Delta^{-1.5}+\eta^{2.5}\Delta^{-1}\right)$ for estimating the ground-state energy, demonstrating a significant improvement over the prior state-of-the-art complexity of $\mathcal{O}\left(\eta^2\Delta^{-2}+\eta^3\Delta^{-1}\right)$, where $\eta$ is the number of electrons and $\Delta$ is the simulation grid spacing. Furthermore, we compile explicit gate counts for a range of benchmark material systems. We demonstrate substantial resource reductions across the board, achieving up to a 44-fold speedup for the largest system considered. These algorithmic improvements significantly lower the barrier to achieving practical quantum advantage in solid-state physics.

I am the presenting author Yes

Authors

Prof. A. Eugene DePrince III (Florida State University) Dr Alec White (Google Quantum AI) Dr Alicja Dutkiewicz (Google Quantum AI) Dominic Berry (Macquarie University) Dr Guang Hao Low (Google Quantum AI) Dr Harrigan Matthew (Google Quantum AI) Dr Marika Kieferova (University of Technology Sydney) Dr Nicholas Rubin (Google Quantum AI) Dr Ryan Babbush (Google Quantum AI)

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