CQT Talk - Quantum Machine Learning Journal Club Talk by Hsin-Yuan Huang, California Institute of Technology

Title:  Power of data in quantum machine learning 
Date/Time: 26-Nov, 10:00AM
Venue: Online event

Abstract: The use of quantum computing for machine learning is among the most exciting prospective applications of quantum technologies. At the crux of excitement is the potential for quantum computers to perform some computations exponentially faster than their classical counterparts. However, a machine learning task where some data is provided can be considerably different than more commonly studied computational tasks. In this work, we show that some problems that are classically hard to compute can be predicted easily with classical machines that learn from data. We find that classical machines can often compete or outperform existing quantum models even on data sets generated by quantum evolution, especially at large system sizes. Using rigorous prediction error bounds as a foundation, we develop a methodology for assessing the potential for quantum advantage in prediction on learning tasks. We show how the use of exponentially large quantum Hilbert space in existing quantum models can result in significantly inferior prediction performance compared to classical machines. To circumvent the observed setbacks, we propose an improvement by projecting all quantum states to an approximate classical representation. The projected quantum model provides a simple and rigorous quantum speed-up for a recently proposed learning problem in the fault-tolerant regime. For more near-term quantum models, the projected versions demonstrate a significant prediction advantage over some classical models on engineered data sets in one of the largest numerical tests for gate-based quantum machine learning to date, up to 30 qubits.

Register in advance for this meeting: https://nus-sg.zoom.us/meeting/register/tZAqd-usqzkvG9LKB9Dc0ZKPdaA9F-39I1jl 

After registering, you will receive a confirmation email containing information about joining the meeting.

CQT-SGInnovate Event

Title: Firing Up the Quantum Future
Date/Time: 08-Dec, 11:00AM
Venue: Online event

At this quantum tech event, we have Prof Michael J Biercuk, CEO & Founder of Q-CTRL and one of the world's leading authorities on quantum physics and technology, present a keynote on 'Starting Up the Quantum Future'.

Quantum technology, harnessing quantum physics as a resource, promises to be as transformational in the 21st century as harnessing electricity was in the 19th century. In this presentation, Michael will introduce the emerging field of quantum tech and describe how he and colleagues around the world are working to build a greenfield industry. Beginning with an intuitive picture of how quantum technology expands on the technological state-of-the-art, this presentation will inform about the potential and promise of exploiting quantum physics in computing and sensing. Michael will also introduce Q-CTRL, a global quantum tech startup headquartered in Australia, focused on making quantum technologies useful through quantum control engineering. This presentation will conclude with lessons for the deep tech founder seeking to transition from fundamental research to entrepreneurship.

Following his presentation, Michael will join a panel discussion on an overview of the global quantum economy and the future of quantum software, as well as why the focus on quantum software when quantum computers are not yet ready.

Programme Details:
11:00am – 11:05am: Opening Remarks
11:05am – 11:25am: Keynote Presentation on ‘Starting Up the Quantum Future’ by Prof Michael J Biercuk, CEO & Founder, Q-CTRL
11:25am – 12:00pm: Panel Discussion and Q&A with:
Prof Michael J Biercuk, CEO & Founder, Q-CTRL
Dr Joe Fitzsimons, CEO & Founder, Horizon Quantum Computing
Dr Ng Hui Khoon, Associate Professor, Yale-NUS College and the Centre for Quantum Technologies, National University of Singapore

More details and registration: https://www.sginnovate.com/events/firing-quantum-future