Webinars

Cryptographic protocols for classical clients to verifiably delegate quantum computation to untrusted quantum servers - the desiderata and their feasibility

A physics inspired class of quantum neural network for generative training TITLE: Training Fully Quantum Boltzmann Machines SPEAKER: Affiliate Assistant Professor Nathan Wiebe AFFILIATION: Pacific Northwest National Laboratory | University of Washington, USA HOSTED BY: Dr Márika Kieferová, UTS Centre for Quantum Software and Information ABSTRACT: In recent years quantum machine learning has grown by leaps and bounds but a major problem still vexes the field is how to efficiently train quantum neural networks

Controls and frames: A new approach to quantum noise spectroscopy TITLE: Noise Cancellation and your Quantum Computer SPEAKER: Dr Gerardo Paz Silva AFFILIATION: Centre for Quantum Dynamics, Griffith University, Brisbane, Qld, Australia HOSTED BY: A/Prof Chris Ferrie, UTS Centre for Quantum Software and Information ABSTRACT: Noise cancellation, as in everyday headphones, requires the ability to characterize & filter out the noise affecting a system one wants to protect

Protecting and leveraging quantum machine learning algorithms on a future quantum internet TITLE: Introducing Adversarial Quantum Learning: Security and machine learning on the quantum internet SPEAKER: Assistant Professor Nana Liu AFFILIATION: Shanghai Jiao Tong University, PR China HOSTED BY: A/Prof Chris Ferrie, UTS Centre for Quantum Software and Information ABSTRACT: In the classical world, there is a powerful interplay between security and machine learning deployed in a network, like on the modern internet

Self-Guided Quantum Learning: Estimation via optimisation applied to quantum estimation TITLE: Self-Guided Quantum Learning SPEAKER: Associate Professor Chris Ferrie AFFILIATION: Centre for Quantum Software and Information, University of Technology Sydney, Australia HOSTED BY: Dr Clara Javaherian, UTS Centre for Quantum Software and Information, Australia ABSTRACT: Quantum state learning is often understood as a data analytics problem—large amounts of data collected from many prior repetitions of incompatible measurements need to be churned into a single estimate of a quantum state or channel

In the final instalment of our Educational series, learn how clever quantum algorithm designers are working to achieve Quantum Advantage with near-term machines, targeting applications in chemistry, drug discovery, and industry

Engineering a coherent and tunable bilinear coupling between two microwave quantum memories in a 3D circuit QED architecture

In this episode, learn about noise in quantum computing: What is noise? How does noise affect a quantum computer? Does noise matter in conventional computers? What are the impacts of noise in the development of quantum computers? How does Q-CTRL help?

Bosonic mode error correcting codes: Quantum oscillators with an infinite Hilbert space TITLE: Quantum computing with rotation-symmetric bosonic codes SPEAKER: Assistant Professor Josh Combes AFFILIATION: University of Colorado Boulder, CO, USA HOSTED BY: A/Prof Chris Ferrie, UTS Centre for Quantum Software and Information ABSTRACT: Bosonic mode error correcting codes are error correcting codes where a qubit (or qudit) is encoded into one or multiple bosonic modes, i

This talk explains the quantum supremacy milestone achieved by Google