26th Australian Institute of Physics Congress and the Australian and New Zealand Conference on Optics and Photonics

Session

AIP QST: Quantum simmulation of chemistry & materials

QST

8 Dec 2026, 11:00

Belinda Hutchinson Building (The University of Sydney )

600. End-to-End Simulation of Chemical Dynamics on a Quantum Computer

Arkin Tikku (University of Sydney)

08/12/2026, 11:00

AIP | Quantum Science and Technology (QST)

Invited talk

Simulations of chemical dynamics are a powerful means for understanding chemistry. However, classical computers struggle to simulate many chemical processes, especially non-adiabatic ones, where the Born-Oppenheimer approximation breaks down. Quantum computers could simulate quantum-chemical dynamics more efficiently than classical computers, but there is currently no complete quantum...

420. Processed Product Formulae for More Accurate Quantum Simulation

Abhishek Rawat (Macquarie University)

08/12/2026, 11:30

AIP | Quantum Science and Technology (QST)

Contributed Oral

Simulating how quantum systems evolve in time is one of the most promising applications of quantum computers, spanning chemistry, materials science, and fundamental physics. The original and still one of the most efficient tools for this is the product formula. It approximates the time-evolution operator as a sequence of simpler exponentials that map directly to quantum gates. For structured...

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

Dominic Berry (Macquarie University)

08/12/2026, 11:45

AIP | Quantum Science and Technology (QST)

Contributed Oral

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...

715. Sum of Squares Representations for the Hubbard Model

Sharan Krishnan (Macquarie University)

08/12/2026, 12:00

AIP | Quantum Science and Technology (QST)

Contributed Oral

Fast simulation algorithms for large systems of correlated electrons will revolutionise our predictive capabilities for chemical phenomena and is perhaps the most compelling promise of fault-tolerant quantum computers. Moreover, a suite of common electronic behaviour, including superconductivity and magnetism, is captured by the Hubbard model, which describes electron interactions on a...

576. Improved sample-efficiency in Sample-based Quantum Diagonalisation via a Lanczos-cluster expansion framework

Michael Jones (University of Melbourne)

08/12/2026, 12:15

AIP | Quantum Science and Technology (QST)

Contributed Oral

Accurate computation of chemical energies is a challenging problem for classical computers, that quantum computers are expected to be able to accelerate. While the argument for advantage in the fault-tolerant regime is relatively clear, the required circuit depths are well beyond current hardware capabilities. Recently, focus on near-term techniques has shifted to quantum-centric...