Seminars

Presenter: Dr Iman Shekerriz,  School of IT, SEBE, Deakin University, Burwood.

Date: 18 August 2025, 3.30 pm (AET)

Recording

Abstract:Quantum contextuality stands as a fundamental departure from the classical worldview, revealing that the outcome of a quantum measurement can depend on the context in which it is performed. In this talk, we explore quantum contextuality through the lens of graph theory, contrasting two primary analytical strategies: the traditional assignment of two-valued states and the more fine-grained approach of hypergraph colouring [2]. Such hypergraphs, if they allow a faithful orthogonal representation in an n-dimensional Hilbert space, have quantum mechanical realisations in terms of intertwined contexts or maximal observables that are widely discussed as empirically testable criteria for contextuality. A reconstruction is possible for the class of perfectly separable hypergraphs [1]. Colourings can be constructed from a minimal set of two-valued states. Some examples from exempt categories are presented, which either cannot be reconstructed by two-valued states or whose two-valued states cannot yield a chromatic number that is equal to the maximal clique number.

References

[1] Mohammad H. Shekarriz and Karl Svozil. Noncontextual coloring of orthogonality hypergraphs. Journal of Mathematical Physics, 63(3):032104, 03 2022.

[2] Karl Svozil. Chromatic quantum contextuality. Entropy, 27(4), 2025.

Slides: TBC

Presenter: Moe Hdaib,  School of IT, SEBE, Deakin University, Burwood.

Date: 18 July 2025, 3.30 pm (AET)

Abstract:Identifying and mitigating aberrant activities within the network traffic is important to prevent adverse consequences caused by cyber security incidents, which have been increasing significantly in recent times. Existing research mainly focuses on classical machine learning and deep learning-based approaches for detecting such attacks. However, exploiting the power of quantum deep learning to process complex correlation of features for anomaly detection is not well explored. Hence, in this paper, we investigate quantum machine learning and quantum deep learning-based anomaly detection methodologies to accurately detect network attacks. In particular, we propose three novel quantum auto-encoder-based anomaly detection frameworks. Our primary aim is to create hybrid models that leverage the strengths of both quantum and deep learning methodologies for efficient anomaly recognition. The three frameworks are formed by integrating the quantum autoencoder with a quantum one-class support vector machine, a quantum random forest, and a quantum k-nearest neighbor approach. The anomaly detection capability of the frameworks is evaluated using benchmark datasets comprising computer and Internet of Things network flows. Our evaluation demonstrates that all three frameworks have a high potential to detect the network traffic anomalies accurately, while the framework that integrates the quantum autoencoder with the quantum k-nearest neighbor yields the highest accuracy. This demonstrates the promising potential for the development of quantum frameworks for anomaly detection, underscoring their relevance for future advancements in network security.

Slides: TBC

Presenter: SpinQ

Date: 10 August 2023, 4pm (AET)

Zoom link

Conference number: 840 2118 3907

Password: 751467

Abstract: SpinQ introduces two distinct quantum computing solutions for educational and research purposes. The first solution is a Desktop NMR Quantum Computer designed for use in education and entry-level research. It features 2-3 qubits of real quantum computer hardware, complemented by user-friendly software that offers over 15 quantum computing experiments and related courses. The system's main functions include pulse design and optimization, as well as quantum gate customization, making it particularly advantageous for research purposes. Currently, there are four product offerings with varying qubit configurations: Triangulum (3 qubits), Gemini (2 qubits), Triangulum mini (3 qubits), and Gemini mini (2 qubits). These products have been successfully installed in more than 20 countries, including prestigious institutions such as UWA, OsloMet, and the University of Tokyo.

 The second solution is a Superconducting Quantum Computer tailored for advanced research in laboratory settings, boasting a remarkable 20 qubits. The provided complete solution encompasses hardware, software, and installation services, enabling universities to establish fully functional Superconducting Quantum Computers within their labs. This comprehensive approach not only accelerates the research process but also optimizes cost-efficiency, allowing professors and students to embark on quantum research projects promptly and effectively.

Slides: 

Presenter: Kelvin Li

Date: 20 July 2023, 4pm (AET)

Zoom link 

Abstract: "Lattices, an essential concept in group theory, have proven their significance in various areas of mathematics and computer science. In cryptography, lattice-based techniques rely on the hardness of lattice problems to provide security. Unlike integer factorisation-based cryptographic assumptions vulnerable to quantum algorithms, lattice problems have no known significantly faster quantum solutions compared to classical (non-quantum) algorithms. This makes lattice-based cryptography an attractive approach for constructing quantum-resistant schemes. In this talk, I will briefly introduce lattices and their role in cryptography, highlighting important lattice problems used in cryptographic constructions, and examining how their average-case hardness contributes to security. I will also discuss the relevance of ideal lattices, their appealing properties, and concerns regarding the well-structured nature of ideal lattices compared to general lattices."

Slides: SVP_slides.pdf

Presenter: CLASSIQ

Date: 20 April 2023, 4pm (AET)

Zoom link 

Abstract: Classiq is a quantum software company that has a leading quantum algorithms development platform. Classiq allows you to generate optimized quantum circuits, to visualize and analyze them interactively, and then to execute them on real-hardware with only 3 simple clicks!

Although we were led to think that a quantum algorithm is synonymous to a quantum circuit, this is not the case! A specific quantum algorithm (even a quantum adder) can have an infinite amount of quantum circuits that implement it. The Classiq Platform will generate an optimal quantum circuit for you, according to your quantum algorithm and the available resources (like the number of qubits, the circuit depth, the hardware connectivity map etc.)

Join us for an hands-on workshop of Classiq and the Quantum IT @ Deakin. In the workshop we will discuss the Classiq Platform and quantum algorithm design. Then we will simply start using the platform, hands-on, and see how easy it could be to generate optimized circuits for complicated algorithms, to understand them and then to run them on real hardware!

Recording:https://deakin.zoom.us/rec/share/ylr_78qx4cVfk6DugaXmt9vANXDSICbOAVkYKynlod53xNJd_upeKX3PBsbG7XTA.kbvOYm_03hemzuyg 

Passcode: e*2.anWr

Sildes: Click here

Presenter: Lucas Fabian Hackl

Date: 30 March 2023, 4pm (AET)

Zoom link 

Abstract: All matter is made from particles and entanglement is a hallmark of quantum theory describing how two parts of a system can be quantum mechanically correlated that cannot be classically explained. In this talk, I will discuss how one can quantify the typical entanglement for quantum states with a fixed number of indistinguishable particles when dividing the system into two parts.

Recording

Passcode: +$CL6x1. 

Presenter: Prof. Byoung S. Ham, School of EECS, Gwangju Institute of Science and Technology (123 Chumdangwagi-ro, Buk-gu, Gwangju 61005, South Korea)

Date: 15 December 2022, 2pm (AET)

Zoom link 

NOTE: The seminar will be in hybrid mode (zoom AND face-to-face in Deakin Downtown).

Abstract: Quantum correlation is known as a mysterious phenomenon of quantum mechanics since the EPR paper in 1935 published by Einstein et al. Based on the EPR paradox, the quantum correlation violates local realism and establishes nonlocal correlation even between space-like separated two parties. Recently, the origin of the nonlocal correlation has been found in quantum coherence between phase-paired photons, where coincidence detection induces the inseparable nonlocal correlation via measurement-event modification, otherwise results in local intensity products. Here, the basic physics of new understanding on the coherence-based nonlocal quantum feature is presented and discussed for its potential applications toward wireless communications relied on a coherent system of MIMO technologies.

Recording

Presenter: Prof Seng Loke, School of IT, SEBE, Deakin University, Burwood.

Date: 24 November 2022, 4pm (AET)

Zoom link 

Abstract: This talk will introduce Quantum Internet Computing (QIC) – not exactly a new idea but it is where Distributed Quantum Computing (DQC) meets the Quantum Internet (QI). QIC is analogous to (classical) Internet Computing, which is where (classical) Distributed Computing meets the (classical) Internet. The talk will start from the basics, i.e., introducing qubits, quantum circuits and entanglement, and go on to talk about DQC, QI, and QIC. Finally, it will try to answer the question: will we (ever) have the “Quantum Internet of Things”?

Related writings:

https://arxiv.org/abs/2208.00733

https://arxiv.org/abs/2208.10127

Recording 

Presenter: Hon Assoc. Prof. Jacob Cybulski, School of IT, SEBE, Deakin University, Burwood.

Date: 10 November 2022, 1:30pm (AET)

MS Teams link 

NOTE: Hosted at RMIT - DISBA

Abstract: Quantum computing is a fascinating new area of technological development, which aims at exploiting processes occurring between elementary particles to perform highly efficient computation. Compared with traditional computer systems, quantum computing works on entirely different principles, allowing tackling problems which until recently have been considered practically unsolvable with classical computer hardware. The new discipline requires expertise intersecting Particle Physics and Data Science, and good knowledge of advanced Mathematical concepts. And yet, quantum computing attracts enthusiasts, researchers, and developers able to create novel solutions to complex problems in science, business, and engineering. This seminar will provide a bird view of quantum computing concepts, some of its accomplishments and its promises in diverse application domains, including Astronomy, Weather Forecasting, Chemistry, Pharmacology, Finance, Logistics, Optimisation, Computer Communication and Security, Machine Learning, and of course software and hardware for quantum computing. At the same time, the seminar will also explain the challenges and limitations of the quantum technology.

Slides

Presenter: Dr Ria Rushin Joseph, School of IT, SEBE, Deakin University, Burwood.

Date: 27 October 2022, 4pm (AET)

Zoom link 

Abstract: Quantum dynamics of correlated Fermi systems are an interesting and challenging topic. One promising and exact method of solving such systems involves fermionic phase space representations. One of the main advantages of the phase space methods are that Hilbert space dimension scales only quadratically with number of particles. The fermionic Q-function and the P-function are the two main quasiprobability distributions used to treat fermions with a basis of Gaussian operators. We derive differential identities involving Majorana fermion operators and an antisymmetric matrix which are relevant to the derivation of the corresponding Fokker–Planck equations on symmetric space. Fokker-Planck equations enable stochastic simulations either in real or imaginary time. Majorana phase space methods are used here to study dynamics of both interacting and non interacting Fermi systems. They are also used to calculate entropy, purity and fidelity in Fermi systems. They have applications in quantum computing.

Slides 

Presentation recording 

Presenter: Hon Assoc. Prof. Jacob Cybulski, School of IT, SEBE, Deakin University, Burwood.

Date: 29 September 2022, 4pm (AET)

Zoom link 

Abstract: In recent years, breakthroughs in quantum computing methods, as supported by the widely available software and hardware, provided great opportunities for advancing quantum machine learning (QML). In some cases, in spite of limitations of the current quantum technology, such efforts lead to great improvement in effectiveness and efficiency of QML algorithms. In other cases, where efficiency gains may not be apparent at this point in time, quantum researchers developed completely new approaches to data analysis, creation of QML models and their applications. Examples of such work include quantum neural networks, quantum support vector machines, quantum kernel methods and quantum optimisation methods, to name just a few.

Surprisingly, in spite of the potential benefits, there is very little research on applying QML methods to time series processing, such as the effective encoding of time-based data on quantum devices, analysis of such representations and interpretation of results obtained from quantum algorithms to support decision making.

This seminar introduces the main QML concepts and their relevance to time series processing. It explains a selection of novel quantum algorithms for time series analysis and demonstrates their workings in IBM Qiskit.

Slides

Presentation recording 

Presenter: Dr Lei Pan, School of IT, SEBE, Deakin University, Burwood.

Date: 18 August 2022, 4pm (AET)

Zoom link 

Abstract: Quantum internet is a very popular concept. It aims to build a quantum-based network with secure communication and storage. In particular, most communication protocols are related to quantum key distribution and quantum relay. As many countries and states are stepping into the quantum era, there are different proposed solutions to technical problems. In this talk, we will introduce the current situations of the quantum internet. We will compare a few mainstream solutions before discussing some challenges and opportunities for research. This talk will be concluded with some open-ended questions about the future of the quantum internet. 

Slides: download

Presentation recording

Presenter: Dr Jihong Park, School of IT, SEBE, Deakin University, Burwood.

Date: 21 July 2022, 4pm (AET)

Zoom link 

Abstract: The parameterized quantum circuit (PQC), also known as a quantum neural network (QNN), is a promising architecture for quantum machine learning (QML). As analogous to training a classical neural network (NN) by tuning its weight parameters, training a PQC is tantamount to adjusting its circuit parameters, or equivalently tuning the angle of the qubit states represented over a hypersphere, called the Bloch sphere. Unlike classical NNs returning deterministic outputs, the output of a PQC cannot be directly obtained, but instead be determined by the average of multiple observations projected with respect to a basis, or equivalently the pole of the Bloch sphere. Inspired from this, in this talk we will focus on the role of adjusting the pole as a training process, providing a new training dimension to the standard PQC angle training. Leveraging this idea, we will revisit meta learning and federated learning applications, and show its effectiveness in memory and communication efficiencies.

Presentation recording

Part of Quantum Computing Workshop with Anna Phan and John Heap (IBM), Innovation Series at Deakin University.

Presenter: Hon Assoc. Prof. Jacob Cybulski, School of IT, SEBE, Deakin University, Burwood.

Date: 15 Sept 2021

Abstract: This presentation discusses the workings of the quantum computing community, which spans the world and which responds to the needs of business and science by providing novel solutions to previously unsolved problems in Chemistry, Medicine, Finance or Logistics.

Slides

Presenter: Hon Assoc. Prof. Jacob Cybulski, School of IT, SEBE, Deakin University, Burwood.

Date: 1 Sept 2021

Abstract: Quantum computing is a new and rapidly evolving area of research and development. It concerns building and using information processing systems, which are capable of harnessing phenomena at atomic and sub-atomic scale. Such systems work on entirely new principles of computation and offer breakthroughs in solving problems, which are deemed practically unsolvable with classical machines. In the last few years, quantum computing captured the attention of computer vendors, research labs and the enterprise. It attracted phenomenal government grants and business investment, and stirred imagination of academics, students, and citizen scientists. And yet, its fundamental concepts are commonly misunderstood, its claims grossly exaggerated and promises misplaced. This seminar therefore aims to give a high-level overview of quantum computing and its sub-discipline quantum machine learning. It explains their basic concepts, their tools and devices, as well as their practical applications. It then discusses the benefits and limitations of quantum technology. It finally, outlines the future challenges and opportunities for research and education.

Slides

Video
(the extended version of this seminar which was prepared for SheQuantum, 11 Oct 2021)