Webinars

A growing methodological problem for practical quantum algorithms research TITLE: Why are quantum algorithms papers so #!@*&% long? SPEAKER: Dr Yuval Sanders AFFILIATION: Centre for Quantum Software and Information, University of Technology Sydney ABSTRACT: In this talk I discuss the results of two of my recent quantum algorithms papers: arXiv:2007

Expressibility and trainability of parameterized quantum circuits for variational quantum algorithms and quantum neural networks

The fundamental constraints on population dynamics generated by Markovian thermal processes

Watch this webinar and gain expert insights that empower you to apply quantum control to automate and improve the performance of your hardware, even in the presence of large uncertainties, noise, and decoherence

Q+A takes a trip to the future to ask what comes next, with some of Australia’s finest scientific minds

Detecting stars and exoplanets with quantum imaging and light detection and ranging (LIDAR) remote sensing to overcome the Rayleigh criterion

How to improve the relative performance of variational algorithms, with strategies for initializing and optimizing larger parameterized quantum circuits

The power of parallelism to speed up quantum simulation TITLE: Parallel Quantum Algorithm for Hamiltonian Simulation TOPIC: Quantum Algorithms SPEAKER: Zhicheng Zhang AFFILIATION: University of Chinese Academy of Sciences, Beijing, China ABSTRACT: We study how parallelism can speed up quantum simulation

When initialised with suitable input states, fermionic linear optics circuits can be used to demonstrate quantum computational advantage with strong hardness guarantees

In this webinar we provide the basics in quantum sensing and its applications, and share how a “software-first” approach leveraging quantum control is essential for realizing the true potential of this emerging technology