Jayne Thompson, Saving resources with Quantum Agents

Wednesday 26 Jun 2024, 14:30 → 16:00 Europe/Rome

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Agents often execute complex strategies - continually adapting their reactions to input stimuli to synergize with past actions. As society pushes to automate ever more complex tasks, the computational resource requirements of such agents is growing in tandem – contributing to chip shortages, and a growing energy footprint of such technologies. Indeed with the rapid advances in large language models, the memory resources costs required by such technologies has been doubling every 3-4 months and energetic costs are growing in tandem. In this talk we determine the fundamental limits on the amount of memory and energy required for executing a complex strategy classically. We demonstrate that a quantum agent can use less memory and lower energetic cost to execute such tasks, implying that it is more efficient to make decisions quantum mechanically.

 

Short bio: 

Jayne is the group manager for quantum algorithms and physics at the Institute of High Performance Computing in Singapore. She has previously worked in the quantum tech industry as a principal scientist for the quantum software company, Horizon Quantum Computing, as well as having completing a research fellowship at the Centre for Quantum Technologies in Singapore. Jayne also holds a PhD in theoretical physics from the University of Melbourne (circa 2012). She has worked extensively in the field of quantum information, and quantum computing both on developing new protocols as well as the design of quantum programming languages and their software implementation.