Quantum Sensors, Quantum Applications

Quantum imaging expert joins Sydney Quantum Academy network

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October 15, 2026 by Ivy Delaney

Dr. Isa Ahmadalidokht is bringing five years of experience in Quantum Technologies to the Sydney Quantum Academy Experts Network. His work focuses on detecting subtle chemical differences in biological tissue using quantum imaging, potentially enabling earlier disease detection and more accurate diagnoses than current technologies allow. “By using quantum light, we aim to create non-invasive imaging tools that provide richer information about tissue structure and chemistry,” Ahmadalidokht said. He worked on quantum communication, quantum networks and advanced optical systems, including research into satellite-based secure data transmission.

Quantum Imaging Potential for Early Disease Detection

Dr. Ahmadalidokht is investigating how quantum imaging and spectroscopy may reveal new information about biological tissue, with potential applications in healthcare. He and his team at UTS are currently developing a quantum imaging platform specifically for biomedical applications, building on achievements including a QUBIC Research Translation Portfolio Fellowship and a win at the UTS Research Translation Competition.

This platform seeks to move beyond the limitations of conventional imaging by using the unique properties of quantum light to reveal previously undetectable changes at the molecular level. One particularly promising application of this technology lies in cancer diagnosis, where early and precise identification of tumours is critical for effective treatment.

Ahmadalidokht envisions a future where quantum imaging can not only detect cancer earlier but also define tumour boundaries with greater accuracy, enabling clinicians to make more informed decisions. “In the future, this may help clinicians identify cancer earlier, define tumour boundaries more accurately, and make more informed treatment decisions leading to better outcomes for patients,” he said.

He emphasizes the importance of a multidisciplinary approach for aspiring quantum researchers, advising students to cultivate strong foundations in physics and mathematics alongside practical skills in experimentation or computation. “Quantum technology is highly interdisciplinary, so being curious, adaptable and willing to learn across different fields is just as important as technical expertise.” Dr. Ahmadalidokht expresses a strong desire to translate laboratory research into tangible healthcare solutions, highlighting the potential for quantum imaging to revolutionize medical diagnostics and improve patient care.

By using quantum light, we aim to create non-invasive imaging tools that provide richer information about tissue structure and chemistry.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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