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

Session

AIP QST: Quantum characterization & learning from measurements

QST

10 Dec 2026, 14:00

Belinda Hutchinson Building (The University of Sydney )

146. From quantum channel discrimination to molecular spectroscopy

Zixin Huang (RMIT University)

10/12/2026, 14:00

AIP | Quantum Science and Technology (QST)

Invited talk

Molecular absorption spectroscopy is one of the most widely used tools for identifying and characterising matter. In a typical experiment, light is sent through a sample and the transmitted signal reveals information about the molecules present. Usually this light is well described by a classical laser field, or coherent state, which provides the standard benchmark for performance.

In this...

301. Connecting Quantum Tomography and Quantum Retrodiction

Dr Sebastian Murk (Faculty of Mathematics and Physics, Charles University)

10/12/2026, 14:30

AIP | Quantum Science and Technology (QST)

Contributed Oral

Quantum tomography and quantum retrodiction are traditionally viewed as separate inference tasks: tomography reconstructs quantum states from measurement data, whereas retrodiction infers past quantum states from observed outcomes. We show that the two are manifestations of the same underlying principle. We prove that the Petz recovery map associated with a measurement channel is precisely the...

212. Experimental Demonstration of Quantum State Smoothing in an Optical Parametric Oscillator

Dr Shota Yokoyama (RIKEN Center for Quantum Computing)

10/12/2026, 14:45

AIP | Quantum Science and Technology (QST)

Contributed Oral

Tracking the dynamics of a continuously monitored quantum system is usually performed using quantum filtering, which estimates the present state from measurement records available up to that time. When real-time estimation is not required, later measurement records can also improve the retrospective estimate of a quantum state. This approach, known as quantum state smoothing, can recover...

757. Beyond the Symmetric Beam-Splitter: Hong-Ou-Mandel Entropy from Frame Reconstruction Tomography

Matthew Armanasco

10/12/2026, 15:00

AIP | Quantum Science and Technology (QST)

Contributed Oral

Two-photon interference at a beam splitter is a foundational primitive in quantum optics, underpinning applications from precision metrology to photonic quantum computing. When two indistinguishable photons enter the input arms of a 50:50 (reflection:transmission) beam splitter, bosonic statistics dictate that they bunch and exit the same port, producing the Hong–Ou–Mandel (HOM) effect and...

282. Machine learning of quantum data using optimal similarity measurements

Raj Patel (Imperial College London)

10/12/2026, 15:15

AIP | Quantum Science and Technology (QST)

Contributed Oral

Quantum machine learning seeks to deliver a decisive computational advantage in data processing by evaluating specific functions of quantum states that remain classically intractable to compute. However, for this advantage to become viable, it is essential to bypass the prohibitively costly characterisation, or full state tomography, of individual data instances. Instead, we must favour the...