Shows
Quantum Computing 101Quantum Gossip: VQE, the Hybrid Heartthrob Shaking Up Tech! Leo Spills the Qubits on the Hottest Algorithm in TownThis is your Quantum Computing 101 podcast.Hi, I'm Leo, short for Learning Enhanced Operator, and I'm here to dive into the fascinating world of quantum computing. Today, I want to share with you the most interesting quantum-classical hybrid solution that's been making waves in the tech community.Let's talk about the Variational Quantum Eigensolver, or VQE for short. This algorithm is a perfect example of how combining the best of both classical and quantum computing approaches can lead to groundbreaking results. Developed by researchers like Dr. Alán Aspuru-Guzik, VQE is used for quantum chemistry and m...
2025-01-2802 min
The New Quantum Era - innovation in quantum computing, science and technologyGenerative Quantum Eigensolver with Alán Aspuru-GuzikWelcome back to The New Quantum Era, a podcast by Sebastian Hassinger and Kevin Rowney. After a brief hiatus, we’re excited to bring you a fascinating conversation with a true pioneer in the field of quantum computing, Alán Aspuru-Guzik. Alán is a professor at the University of Toronto and a leading figure in quantum computing, known for his foundational work on the Variational Quantum Eigensolver (VQE). In this episode, we delve into the evolution of VQE and explore Alán’s latest groundbreaking work on the Generative Quantum Eigensolver (GQE). Expect to hear about the intersection of quan...
2025-01-2037 min
Citeline PodcastsThe Future Of Drug R&D Is Self-DrivingIn the latest episode of the In Vivo podcast, Alan Aspuru-Guzik, a pioneer in chemical engineering who holds many positions, talks about how he is folding in robotic automation, generative AI and quantum computing in his self-driving lab.
2024-09-3030 min
Agents Of TechChat GPT for Public Health and Creating Labs of the FutureAjay Gupta CEO of HSR Health and Este Geraghty, Chief Medical Office at Esri discuss how tech can be used to fight new and ongoing health threats. Dr. Alán Aspuru-Guzik, a professor of chemistry and computer science at the University of Toronto talks about creating labs of the future to accelerate scientific discovery. He also discusses the pressing question of whether AI can make a good cup of tea.
2024-04-0317 min
Interchange RechargedTransforming EV battery development through the power of AIThe traditional process of battery development is slow, expensive, and capital-intensive. AI can help overcome the challenges of predicting battery performance, exploring the vast design space, and conducting time-consuming cycle life testing. We are joined by Alán Aspuru-Guzik, a professor at the University of Toronto specialising in Chemistry and Computer Science, and Jason Koeller, the CTO and Co-founder of Chemix, to examine the role of machine learning in EV battery development. Chemix is exploring new ways of developing batteries for electric vehicles (EVs) by utilising AI, aiming to make it faster and more efficient compared to th...
2024-01-3039 min
Machines and MoleculesAlan Aspuru-Guzik on self driving labsIn the latest episode, Alan Aspuru-Guzik introduces us to the transformative potential of self-driving labs, where complex chemical equipment merges with machine learning. However, it's not about chasing the perfect algorithm – it's about making things work. Old workhorses like Bayesian optimization he augments with a wide range of innovative twists. Motivated by David King's chilling take on climate change, Aspuru-Guzik urges us to venture into uncharted territory, balancing imagination with impact. Because, in the end, it's about doing what can truly add value.
2023-10-2037 min
The Big StoryA Canadian team used AI to make a cancer drug. Is this a game-changer?It's a process that can take up to a decade. And individual aspects of it can take up to a year or more. Or... it can take, like, a month.The drug development process is time-consuming, intense and very, very expensive. So much so that only huge pharmaceutical companies can afford to keep swinging and missing. But a Canadian team using AI programs is aiming to change that—everything from the length of time to who can afford to do the work, and it just might revolutionize the entire process.GUEST: Alán Aspuru-Guzik, professor of C...
2023-01-2518 min
Solve for X: Innovations to Change the WorldThe race to discover new materialsWhat will it take to get to a world where we have all the energy we need — without the emissions, smog and other climate impacts? The shift requires a rapid draw-down on carbon-based fuels and the use of energy storage technologies. And while lithium batteries have been instrumental in the transition, supply chain and sustainability issues are of increasing concern. We need to think beyond the battery. In this episode, we’re looking into how new materials might get us one step closer in the on-going transition to a clean energy future. From using AI to speed up discovery to de...
2022-10-2730 min
QuantumQuantum 36 :Actualités de Février 2022Actualités françaisesLa région Île de France renouvelle son soutien à la recherche dans les technologies quantiquesRecherche : 9 nouveaux Domaines d'intérêt majeur soutenus par la Région Île-de-France Inauguration du laboratoire QTech de l’ONERAhttps://www.youtube.com/watch?v=LIcOJ4_qySEArticle de David Larousserie dans Le Monde du 17 février sur les startups françaises du quantiquehttps://www.lemonde.fr/economie/article/2022/02/17/une-nouvelle-vague-de-start-up-francaises-deferle-dans-la-technologie-quantique_6113997_3234.html?utm_source=dlvr.it&utm_medium=linkedinEt un autre...
2022-02-2043 min
Intel on AIDesigning Molecules with AIIn this episode of Intel on AI hosts Amir Khosrowshahi and Santiago Miret talk with Alán Aspuru-Guzik about the chemistry of computing and the future of materials discovery. Alán is a professor of chemistry and computer science at the University of Toronto, a Canada 150 Research Chair in theoretical chemistry, a CIFAR AI Chair at the Vector Institute, and a CIFAR Lebovic Fellow in the biology-inspired Solar Energy Program. Alán also holds a Google Industrial Research Chair in quantum computing and is the co-founder of two startups, Zapata Computing and Kebotix. Santiago Miret is...
2022-02-1656 min
Investigando la investigaciónScientific intuition inspired by machine learning-generated hypothesesTe cuento sobre el interesante artículo "Scientific intuition inspired by machine learning-generated hypotheses" que puedes encontrar en:
https://iopscience.iop.org/article/10.1088/2632-2153/abda08/meta
de Alan Azpuru-Guzik
https://www.researchgate.net/profile/Alan-Aspuru-Guzik
y Pascal Friederich:
https://www.researchgate.net/profile/Pascal-Friederich
Siendo este el episodio donde te he comentado el proyecto de Interpretable Machine Learning en el cáncer colorrectal:
https://anchor.fm/horacio-ps/episodes/Proyecto-Europeo-H2020-REVERT-Medicina-personalizada-mediante-inteligencia-artificial-etpfse
Si quieres continuar la discusión sobre el episodio dentro de nuestra comunidad en...
2021-12-2819 min
Eye On A.I.Creating New Materials with AIAlan Aspuru Guzik, a professor at the University of Toronto, talks about his work in new materials discovery with machine learning and building a fully automated materials lab that can synthesize molecules discovered in a computer.
2021-03-0326 min
PNAS Science SessionsDesigning theoretical moleculesAlán Aspuru-Guzik discusses how he uses supercomputing as a "molecular spaceship" to explore chemical space and discover potentially useful new molecules.
2019-06-1105 min
The Harry Glorikian ShowAlán Aspuru-Guzik and the Revolution in Molecular DesignMany of the processes carried out in traditional chemistry labs searching for new drugs or drug targets can be sped up through factory-style automation—and in fact, “combinatorial chemistry” was a big boost for the field. But Alán Aspuru-Guzik, a theoretical chemist in the departments of chemistry and computer science at the University of Toronto, says “the transition to autonomy is what we really want.” Think of a “self-driving chemical lab” that uses big data, AI, and robotics to explore chemical space through a cycle of synthesis, characterization, and testing: that’s what happening both at Aspuru-Guzik’s Cambridge, MA-based...
2019-03-2930 min
Theoretically Speaking PodcastQuantum ComputingQuantum computation could hold the key to being able to simulate matter exactly. This week we have an extended interview with Professor Alán Aspuru-Guzik, from Harvard University, to find out what a quantum computer is, how it works and how it can be used in chemistry.
Links:
- https://pubs.acs.org/doi/abs/10.1021/acscentsci.7b00550 (The Matter Simulation (R)evolution)
Credits:
- Support: TMCS, EPSRC
- Theme music: from "Earnest's Understanding" © 2017 Charles Ormrod
2018-03-1421 min
Business ExtraPowering through from A to B ... what the future of energy and mobility will look likeHost Mustafa Alrawi speaks to Harvard University's Alan Aspuru-Guzik who explains that organic storage technology is the big breakthrough to come for the energy industry and Christian Soemmer, Managing Director of Cadillac Middle East, sets out a vision for cars and transport.
2017-11-1637 min
Oxford Physics Public LecturesQuantum Computer Simulation of Chemistry and Materials: Advances and PerspectivesPhysics Colloquium 5th February 2016 delivered by Professor Alán Aspuru-Guzik Quantum computers promise the numerically exact simulation of molecules and materials. Furthermore, they are amongst the algorithms that have the lowest resource requirements for surpassing the power of classical computers. In this talk, I will briefly introduce the basic concepts of quantum computing and quantum simulation. Then, I will review the recent rapid progress in developing more efficient algorithms that have been achieved by many researchers in the field including our research group. I will describe the families of available algorithms (phase estimation, adiabatic and variational quantum eigensolver approaches) as w...
2016-02-1151 min