Lecture: The Next Biology Revolution
The development of Quantum computers might pose a quantum leap forward in the truest sense of the wording. A technology with the potential to change the aptitude of bioscience entirely, EU has denoted it “a key sector of technological development in the 21st century”, and companies and states race to take the lead in the progress towards its development and application. So what is Quantum Computing? Quantum computing is a new computational paradigm based on quantum phenomena that offers potentially transformative solutions to many societal challenges within such diverse areas as health, economics, and climate. In the biological sciences, quantum computing has the potential to overcome hard computational problems within, for instance, drug discovery, protein folding and bioinformatics, that are currently impossible to solve using conventional supercomputers. Both keynote speakers are heading newly established research consortia awarded through the Novo Nordisk Foundation’s Challenge Programme 2020, concerning the development of quantum simulators to advance our understanding of complex biological processes.
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For this month’s lecture, we are proud to present the following talks:
Quantum Hardware for Photonics Quantum Simulators
BY PETER LODAHL, PROFESSOR AT THE NIELS BOHR INSTITUTE AND DIRECTOR AT HY-Q CENTER FOR HYBRID QUANTUM NETWORKS, UNIVERSITY OF COPENHAGEN
Single photons are the fundamental constituent of light and encode robust quantum bits. Advanced photonic-integrated technology is already commercially available today, and scaling up quantum photonics towards real-world applications therefore appears feasible. We will discuss the operational principles of photonic quantum hardware and the route for scaling up. Applications such as quantum optical neural networks and quantum simulations of molecular dynamics will be discussed.
Artificially creating strongly correlated electrons
BY MATTHIAS CHRISTANDL, PROFESSOR AT DEPARTMENT OF MATHEMATICAL SCIENCES, UNIVERSITY OF COPENHAGEN
Understanding the electronic structures of molecules is of key importance to computational molecular biology. Since the correlations of electrons are quantum-mechanical in nature, this poses a challenge for our current computing infrastructure, which only operates with classical states. In the talk, I will explain how we imagine artificially creating strongly correlated electrons in a system of quantum dots – and how we can measure their quantumnes. It is a step on the way to the quantum simulation of molecules.
Please note that this lecture will be entirely online. Register to receive a mail on the day of the event with a direct link.
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