Quantum Technologies: State of Play | AISC

Published on ● Video Link: https://www.youtube.com/watch?v=ctmB6qYAAaM



Category:
Vlog
Duration: 1:02:53
158 views
8


Speaker(s): Mohamadreza Rezaee
Moderator(s): Amir Feizpour

Find the recording, slides, and more info at https://ai.science/e/quantum-technologies-state-of-play--lfKlKqbAvMGI76uBZ96Q

Motivation / Abstract
Harnessing the power of quantum physics phenomena, superposition and entanglement, promises a new type of machine with an unprecedented level of computational power, unlike any other technology before. Race to build the first practical and scalable quantum computing machine has been compared to the gold rush and resulted in the "quantum supremacy" declaration here and there. Governments and private sectors are investing multi-billion dollars in the quantum technology domain. The looming threat of the advent of quantum computing may bring to the security of our digital life is a significant concern and motivation behind some of the investments in quantum technologies.

This computational power can be employed to tackle a range of challenges we are facing today,from climate change to discovering new drugs and medical treatments. Quantum computation promises to significantly impact areas like discovering new materials, finance, machine learning,manufacturing, and logistics. Sampling, simulation, and optimization are the main categories of problems we can efficiently solve using quantum computation.

In this brief overview, we will discuss the basics of quantum computing and how they can be utilized to overcome the current computational limits. Quantum technologies are still in their infancy, yet the market opportunities are massive. We will briefly look into market opportunities and where the possibilities are


------
#AISC hosts 3-5 live sessions like this on various AI research, engineering, and product topics every week! Visit https://ai.science for more details




Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE


2020-08-12AI Fariness and Adversarial Debiasing
2020-08-11Joint Policy-Value Learning for Recommendation | AISC
2020-08-11Operationalizing the AI Canvas for AI Product Success (and profit) | AISC
2020-08-07Overview of Bias and Fairness in AI
2020-08-06Subexponential-Time Algorithms for Sparse PCA | AISC
2020-08-05Inverse design of nanoporous crystalline reticular materials with deep generative models | AISC
2020-08-04ChemOS: An orchestration software to democratize autonomous discovery | AISC
2020-07-30Recurrent Neural Network for Quantum Wave Function | AISC
2020-07-30Bounded Rationality in Las Vegas: Probabilistic Finite Automata PlayMulti-Armed Bandits | AISC
2020-07-30Information Retrieval for Price Consistency Monitoring - Liu Yang (Amazon)
2020-07-29Quantum Technologies: State of Play | AISC
2020-07-29NLP on Noisy User-generated text - NER for StackOverflow | AISC
2020-07-28Overview of Machine Learning in Marketing | AISC
2020-07-24Cognitive Model Priors for Predicting Human Decisions | AISC
2020-07-22Machine Learning to Assess Trends and Alignment of Funded Research Output | AISC
2020-07-22COVID and Racial Inequity, and Implications for AI
2020-07-21TGN: Temporal Graph Networks for Deep Learning on Dynamic Graphs [Paper Explained by the Author]
2020-07-20Founders in Fundraising, and AI Applications
2020-07-16Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents | AISC
2020-07-16Machine Learning for Forecasting Global Atmospheric Models | AISC
2020-07-15Towards Frequency-Based Explanation for Robust CNN | AISC