In Episode 101, Patrick and Ciprian welcome back Elisabetta Valiante of 1Qbit for an insightful discussion on the evolving landscape of quantum computing and artificial intelligence. Together, they explore how to tailor problems for quantum computers, the advancements in error-corrected qubits, and the rising energy demands of AI and Large Language Models. Tune in for expert perspectives on navigating these technological frontiers.
We are also thrilled to share a position paper co-authored by Elisabetta in collaboration with HPE, Qolab, Nvidia, and several other universities and institutions. This groundbreaking work delves into building scalable quantum supercomputers and overcoming key challenges in the field.
đź”— Read the position paper on arXiv
đź”— HPE Blog Post: How to Build a Quantum Supercomputer
Tune in for expert perspectives on navigating these technological frontiers and advancing the quantum era.
Elisabetta Valiante has been a member of the Optimization Solutions Team at 1QBit since 2018. She is experienced in optimization problems in chemistry, biochemistry, and finance, as well as benchmarking quantum and quantum-inspired optimization algorithms and hardware.
Elisabetta graduated in Physics in her home country at the Sapienza University of Rome. She earned a PhD from the Ludwig Maximilian University with a dissertation on galaxy evolution, and had postdoctoral appointments at the University of British Columbia and Cardiff University. She was the leader of the first major world data release of the Herschel Astrophysical Terahertz Large Area Survey (H-ATLAS).
 Elisabetta has published and co-authored scientific articles in peer-reviewed journals, and has presented at many international conferences (for example, the XXIX International Astronomical Union General Assembly) and colloquia.
A passionate mentor, she recently participated in the “Girls and STEAM” event at Science World in Vancouver, BC.
 Elisabetta currently resides in Vancouver, BC with her partner and her cat.
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