"Optimization problems, which are often difficult to solve using traditional methods..are being reimagined and accelerated... Financial services, biotech and pharmaceutical sectors could particularly benefit from #quantumcomputing"
https://t.co/Y1u8VpnT26
Interesting chart on #quantum#technologies in an article in @techcrunch .
Will quantum computing remain the domain of the specialist VC? https://t.co/w7uK8NTbWA
I wrote a FREE introductory quantum computing textbook! The only prerequisite is trigonometry. It's essentially the #PHY595 course I've been teaching at @Creighton since 2018.
Download it from my website at https://t.co/ggYwGgBgE1.
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"The ministry said the research undertaken by the Army in the field of #quantum technology will help it leapfrog into the next generation of communication and transform the current system of cryptography to post-quantum #cryptography."
https://t.co/ACJILFrcGW
ଓଡ଼ିଆ ମେସିନ୍ ଲର୍ଣ୍ଣିଂ ବିଶ୍ୱ ସମ୍ମିଳନୀ ୨୦୨୧ ପାଇଁ ଆପଣଙ୍କୁ ନିମନ୍ତ୍ରଣ!
You are invited to the Odias in Machine Learning Conference 2021!
Register your presence :
https://t.co/EtKHswct7r
📢We are thrilled to announce our $50M Series B round of financing! 🙌
🌟This is the largest ever investment in a non-full-stack quantum startup and is a major step forward towards implementing an effective cloud infrastructure for #quantum computers. https://t.co/KraSV0qC3F
The Indian government has launched the country’s first quantum computer simulator toolkit, called QSim, which will enable researchers and students to carry out cost-effective research in quantum computing.
#QuantumComputing#Quantum
https://t.co/jCUACYhS5n
A draft of the sequel, "Probabilistic Machine Learning: Advanced Topics", will be released by late Fall 2021. Together these two new books amount to about ~2000 pages of content. So my 2012 book ("Machine Learning: a Probabilistic Perspective") has finally been surpassed!
I am pleased to announce that the camera ready version of my new textbook, "Probabilistic Machine Learning: An Introduction", is finally available from https://t.co/dSlKkwYpLr. Hardcopies will be available from MIT Press in Feb 2022.