Events

Felix Motzoi - University of California

In the NISQ era of quantum computing, as system sizes are progressively increasing, there are major concerns about the degradation of performance with increasing complexity. These can largely be reduced to the problems of crosstalk and correlations between system components, of fabrication uncertainties and drift in system parameters, and of multi-parameter optimization across multi-qubit state spaces in a fixed uptime duty cycle. In this presentation, we address inroads towards a more comprehensive, scalable approach for control theoretic solutions to maintaining (given architecture) performance that encompasses: a method to incorporate arbitrary couplings into an effective Hamiltonian frame with superexponential speedup compared to standard perturbative approaches [B. Li, T. Calarco, F. Motzoi, PRX Quantum 3, 030313 (2022)]; a control theoretic approach to tracking uncertainties in quantum circuits giving tight error bounds [M. Dalgaard, C. Weidner, F, Motzoi - Phys. Rev. Lett. 128, 150503 (2022)]; and a machine learning framework for symbolic optimization given particular Hamiltonian and associated uncertainties with a single meta-optimization permitting simultaneous tuneup of all qubits within the architecture belonging to the same class of Hamiltonians [F. Preti, T. Calarco, F. Motzoi, arXiv:2203.13594 (2022)].

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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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.

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.

The Quantum Innovators in science and engineering workshop brings together the most promising young researchers in quantum physics and engineering. Guests are invited for a three-day conference aimed at exploring the frontier of our field.

Monday, October 3 QNC 0101
Tuesday, October 4 RAC1 2009
Wednesday, October 5 QNC 0101

Stacey Jefferey - QuSoft

While the quantum query complexity of k-distinctness is known to be O(n^{3/4−1/4(2k−1)}) for any constant k≥4, the best previous upper bound on the time complexity was ~O(n^{1−1/k}). We give a new upper bound of ~O(n^{3/4−1/4(2k−1)}) on the time complexity, matching the query complexity up to polylogarithmic factors. In order to achieve this upper bound, we give a new technique for designing quantum walk search algorithms, which is an extension of the electric network framework. We also show how to solve the welded trees problem in O(n) queries and O(n^2) time using this new technique, showing that the new quantum walk framework can achieve exponential speedups.

The ability to engineer the electrical, optical and magnetic properties of advanced materials on the nanoscale is of increasing importance to the development of future technologies. One approach to achieving this is through impurity doping, with increased control over the spatial resolution and isotopic purity enabled by the development of dedicated tools. In this talk the 'P-NAME' tool will be described, and the underlying principle surrounding its application for the development of doped systems for quantum technologies including qubits presented. cont.

The Quantum Innovators in Computer Science and Mathematics workshop brings together promising researchers working on theoretical aspects of quantum information and computation in computer science and mathematics. Guests are invited for a three-day conference aimed at exploring the frontier of our field.