Events

Quantum computing promises to dramatically alter how we solve many computational problems by controlling information encoded in quantum bits. With potential applications in optimization, materials science, chemistry, and more, building functional quantum computers is one of the most exciting challenges in research today. To build and use these devices, we need to precisely control quantum bits in the lab, understand the ability and limitations of quantum algorithms, and find new methods to correct for decoherence and other quantum errors.

Research in quantum computing is highly multidisciplinary, with important contributions being made from computer scientists, mathematicians, physicists, chemists, engineers, and more. In this panel, we’ll learn from three researchers at the forefront of the field studying experimental quantum devices, quantum algorithms, and quantum error correction:

• Crystal Senko, Assistant Professor, Institute for Quantum Computing and the Department of Physics

• Shalev Ben-David, Assistant Professor, Institute for Quantum Computing and Cheriton School of Computer Science
• Michael Vasmer, Postdoctoral Researcher, Institute for Quantum Computing and Perimeter Institute for Theoretical Physics

Quantum Perspectives: A Panel Series celebrates 20 years of quantum at IQC. Over the past two decades, IQC’s leading quantum research has powered the development of transformative technologies, from ideas to commercialization, through research in theory, experiment and quantum applications. This year, we’re celebrating IQC’s 20^th anniversary with a panel series exploring all perspectives of quantum, including sensing, materials, communication, simulation and computing.

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Effective JC and anti-JC Interactions via Strong Driving 

The Jaynes-Cummings Model (JCM) approximates the Quantum Rabi Model (QRM) in some regimes and is exactly solvable by only keeping the rotating or `energy-conserving’ terms and dropping the counter-rotating or `non-energy conserving’ terms.

Since the proposal of the JCM, questions on the effect and presence of counter-rotating terms popped up.

Using strong driving, one can induce the effects of the counter-rotating terms on a comparable timescale to the rotating terms. In such a scenario, one can create a Schrödinger cat state in a resonant manner without the need for any type of Kerr nonlinearity.

In this talk, we review the QRM and its descendant, the JCM. Then, we discuss the realization of a Schrödinger cat state, its challenges in practice and how to solve them.

On behalf of the IQC-GSA, we invite you to the IQC RAC BBQ. We hope to see everyone on Friday, September 16^th. Please bring your friends, advisors, group members, and batchmates! We are especially happy to welcome new members of IQC and we hope everyone will take this opportunity to interact with other IQC members and visit RAC.

TQT’s Quantum For Health (Q4Health), is open to all at the University of Waterloo, seeking opportunities where quantum can advance health.

On September 19, TQT will host a Q4Health Launch Event in the Mike and Ophelia Lazaridis Quantum-Nano Centre Rm 0101. This event will include descriptions of quantum for health case studies. Following the talks, there will be a meet and greet to assist in team building. Attendees will receive information updates and an opportunity to register and learn more about upcoming Lunch and Learn sessions.

Register by September 16 (for refreshment planning purposes). There will be limited onsite registration at the event.

Jonathan Lavoie, Experimental Physicist, Xanadu Quantum Technologies

A quantum computer attains computational advantage when outperforming the best classical computers running the best-known algorithms on well-defined tasks. No photonic machine offering programmability over all its quantum gates has demonstrated quantum computational advantage: previous machines were largely restricted to static gate sequences. I will discuss a quantum computational advantage using Borealis, the latest of Xanadu’s photonic processors offering dynamic programmability and available on the cloud. This work is a critical milestone on the path to a practical quantum computer, validating key technological features of photonics as a platform for this goal.

Quantum Chaos in Kicked Top

Quantum-classical correspondence is of fundamental interest as it allows for computing and analysing the quantum properties with respect to their classical counterparts. This helps us study the transition from the quantum to the classical. According to the correspondence principle, quantum mechanics should agree with classical mechanics in appropriate limits. In our first project, we show that currently available NISQ computers can be used for versatile quantum simulations of chaotic systems. We introduce a classical-quantum hybrid approach for exploring the dynamics of the chaotic quantum kicked top (QKT) on a  universal quantum computer. The programmability of this approach allows us to experimentally explore the complete range of QKT chaoticity parameter regimes inaccessible to previous studies. Furthermore, the number of gates in our simulation does not increase with the number of kicks, thus making it possible to study the QKT evolution for arbitrary number of kicks without fidelity loss. Using a publicly accessible NISQ computer (IBMQ), we observe periodicities in the evolution of the 2-qubit QKT, as well as signatures of chaos in the time-averaged 2-qubit entanglement. We also demonstrate a connection between entanglement and delocalization in the 2-qubit QKT, confirming theoretical predictions. However, the connection between classical and quantum mechanics is not straightforward, especially in chaotic systems. The question of why a chaotic system, in certain situations, breaks the correspondence principle remains one of the open questions. Nevertheless, the breaking of Quantum classical correspondence for a large system i.e., the large value of j (but finite), is surprising. It suggests that the system never behaves classically in certain situations, irrespective of the system size. It is also worth exploring this strange behavior from an experimental point of view, as it will decide the parameters of the experimental setup designed for studying Quantum Chaos.

Join us for Quantum Today, where we sit down with researchers from the University of Waterloo’s Institute for Quantum Computing (IQC) to talk about their work, its impact and where their research may lead.

There's growing awareness of the lack of diversity in science and the presence of barriers to inclusion. What factors lead to disparities in representation? Why should we be motivated to effect change? What can we do to change things? Will our actions really make a difference? 

This presentation will focus on ideas to challenge the status quo – actions to advance equity, diversity, and inclusion (EDI). We will discuss recent research to illustrate and raise awareness of the many EDI challenges in science, then explore various practical ways to take action to advance EDI. These practical actions stem from our recently released "Science is For Everyone" Teaching toolkit, which provides an abundance of ideas to diversify science education and further support recruitment, retention, and advancement of all students. We will touch on the importance of diversifying content and talk about how Indigenous content is being brought into post-secondary science courses. Finally, we will give an overview of other exciting science EDI initiatives across research and academic life.

Meet graduate student researchers from science, engineering, and mathematics and hear how they discovered quantum information science, found their way into research, and how the skills they gained in their undergraduate studies are helping them develop the next generation of quantum technology.

Measuring quantum fields with particle detectors and machine learning

Abstract: The model for measurements used in quantum mechanics (based on the projection postulate) cannot be extended to model measurements of quantum fields, since they are incompatible with relativity. We will see that measurements performed with particle detectors (i.e., localized non-relativistic quantum systems that couple covariantly to quantum fields) are consistent with relativity, and that they allow us to build a consistent measurement theory for QFT. For this measurement framework to be of practical use, we need to understand how can we measure specific properties of the field using a particle detector. I will show that there is a simple fixed measurement protocol that allows us to extract essentially all the information about the field that the detector gathers, and that this information can then be interpreted to study a specific targeted feature using machine learning techniques. Specifically, I will examine two examples in which we use a neural network to extract global information about the field (boundary conditions and temperature) performing local measurements, taking advantage of the fact that this global information is stored locally by the field, albeit in a scrambled way.