Check out our new preprint about practical #quantum advantage in #GenerativeAI and join the race!๐๐ฝโโ๏ธ๐๐ฝโโ๏ธ
https://t.co/CFHeUc9hTa
Details in the ๐งตโคต๏ธ
Glad to share a new paper formalizing a race for practical #quantum advantage (PQA) between classical and quantum generative models in terms of generalization. Join us in the race with your top runners!
https://t.co/anjByJFPKD
Summary in the thread below ๐งต: 1/7
#TGIF: Zapata has launched the Summer '23 Internship Program! Don't be shy and apply to join our Quantum AI team if you're looking forward to exciting research + software development + loads of fun with the greatest people! Share the word and reach out ๐
Brand new milestone in the journey towards characterizing #generalization capabilities of quantum-circuit-based #generative models. Check out the thread below and dig into the manuscript for more details! https://t.co/3Av6weAPEq
Research paper alert!๐ฅ Have you ever wondered if #quantum-circuit-based generative models have any generalization capability? Check out this joint work, https://t.co/M3WQqxHYx3 with @gili_kaitlin@MedHibatAllah@maurimarta14 & Chris Ballance
Summary in the thread below ๐งต๐
Could not be more grateful to work at @ZapataComputing - the spotlight is always on the people and this has such an impact on my job every single day! Excited to be part of the family!
Loved this personal spotlight about our raising star @maurimarta14 ! ๐ซ ๐๐ฉโ๐ป: https://t.co/x4q8Tjrr9e. Could not be more grateful for her outstanding work as our Research Manager, and for all her past and present outstanding contributions to our #Quantum#ML research โ๏ธ.
Welcome to all the 2022 Zapata interns! Special greetings to our Quantum AI stars, who are already doing an exceptional job with their projects! Excited to continue learning from them and walk together towards practical quantum advantage ๐
Please retweet!๐ฅ We have 6 new positions in our #Quantum#AI team @Zapata!๐ We are now a team of 15 scientists and engineers committed to the quest for practical quantum advantage! Looking for exceptional talent to push the frontier of #QuantumComputing & #ML research. See ๐งต๐
As a highlight of quality-based metrics, we demonstrate that the TNBM is able to generate queries that are of better quality than those in the training set. The quantum-inspired model produces 15x more of these samples than the classical GAN. 8/8
We are excited to share our work on the challenging topic of generalization in classical and quantum generative models!
https://t.co/sK6b1YjtcI
We propose a new framework and generalization metrics, that are also useful tools to rigorously define practical quantum advantage. 1/8
Our validity-based metrics show that the quantum-inspired model is a clear winner, achieving superior generalization values to three GAN variants. The TNBM is (3.76, 3.75, 68.2) times better than the GANs across (Fidelity, Rate, Coverage) values! 7/8
We are very happy to introduce orqviz: An open-source Python library to flexibly visualize high-dimensional landscapes of Variational Quantum Algorithms.
https://t.co/8naDQsui0P and https://t.co/APNe0FqlcA
Check out this thread for applications we explore in the paper. 1/6