
Amira Abbas
@amiramorphism
Trying to answer big questions with small devices. Quantum Research Scientist @Google Quantum AI. South African 🇿🇦
ID: 1168122154430476288
https://scholar.google.co.uk/citations?user=-v3wO_UAAAAJ&hl=en 01-09-2019 11:23:27
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Tomorrow, the 'Quantum Leap into the Future: Exploring the Synergy of Quantum & AI' French Tech Amsterdam x Quantum.Amsterdam event takes place at Startup Village. Speakers are a.o. Iordanis Kerenidis (QC Ware, CNRS 🌍) and QuSoft's Amira Abbas. See: quantum.amsterdam


Posted today, our paper contains a surprising twist. The complex conjugate of a quantum state can provide exponential advantages in learning. The learning task we look at is motivated from bosonic physics. Check it out: scirate.com/arxiv/2403.034… With Jarrod McClean and Kianna Wan.



Umesh Vazarani kicks off the "Quantum Complexity: Quantum PCP, Area Laws, and Quantum Gravity" workshop at the Simons Institute for the Theory of Computing. Talks will be recorded and available at simons.berkeley.edu/workshops/quan…. I'll be around all week, come say hi!





Avi Wigderson gave a truly inspiring talk yesterday at Cambridge Computer Science about the value of errors in proofs. The video will be posted shortly on the Cambridge Algorithms and Complexity Workshop webpage. cl.cam.ac.uk/~tg508/cacw202…



New paper on the arXiv with Robbie King, David Gosset, and Ryan Babbush: "Triply efficient shadow tomography". arxiv.org/abs/2404.19211 scirate.com/arxiv/2404.192…





📢 The EPFL_AI_Center Postdoctoral Fellowships call is now open! 💡Are you a postdoctoral researcher interested in collaborative and interdisciplinary research on #AI topics? ✏️Apply now until 29 November 2024 (17:00 CET). 👉More info: epfl.ch/research/fundi…



Excited to share this new paper with Jack O'Connor and Nick Spooner! We improve our ZK-PCP construction to cover all of NEXP (with exponential proofs), scale it to NP with polynomial proofs, and obtain O(1)-locality via composition--yielding a ZK analogue of the PCP theorem. 1/3


With Jarrod McClean and Dar Gilboa, we prove a new quantum advantage for learning periodic neurons in the quantum statistical query model! arxiv.org/pdf/2503.20879 The hardness of this problem was studied long before this work by classical learning theorists. 🔎


Generative models excel at images and text, but tabular data remains a challenge.🤔 We introduce 🐈 TabbyFlow 🐈 - a variational flow matching approach with general exponential families for mixed-type tables. Work with Andrés Guzmán-Cordero & Jan-Willem van de Meent accepted to #ICML2025 🎉 👇 1/n
