We look forward to meeting you!
This conference consists of sessions with invited presenters in the field of emergent and quantum technologies. Our sessions are dedicated to presenting the papers submitted for the conference and accepted for the oral presentation. There will also be an online/remote and poster session which will give an opportunity to present and discuss the best research works accepted for the conference.
The participants get access to a wide variety of talks in different disciplines.
Top researchers and technologists are invited to speak at the plenary sessions.
talk about the recent progress in emergent and quantum technologies and possible future research directions
Although we prefer in-person presentations, participants can do a remote presentation, or publication only.
For a sample of the last year's program go here
Quantum computing is a rapidly emerging interdisciplinary research area that integrates concepts from mathematics, physics, and engineering. For scientific rigor and successful progress in the field, it demands contributions from various STEM areas.
In this context, we are pleased to announce the International Conference on Emergent and Quantum Technologies (ICEQT’23), to be held on July 24-27, 2023, in Las Vegas, NV. The conference aims to provide an opportunity for researchers in the field of quantum machine learning and machine learning researchers interested in applying AI to enhance quantum computing algorithms, to present and discuss recent advancements in their areas of expertise.
Notably, there has been an increasing interest from machine learning researchers to apply AI to the quantum computing domain, and vice versa. As a result, we cordially invite submissions of original research papers that present state-of-the-art contributions in the following areas:
Foundations of Quantum Computing and Quantum Machine Learning
Quantum Machine Learning Algorithms
AI for Quantum Computing
Quantum Algorithms and Applications
Fairness and Ethics in Quantum Machine Learning
We look forward to receiving your submissions and to welcoming you to ICEQT’23.
Paper Submission Deadline: June 10, 2023
PAPER SUBMISSION PORTAL: https://american-cse.org/drafts/
PUBLISHER: IEEE CPS (https://www.computer.org/conferences/cps)
Papers should be typeset by using the general typesetting instructions
available at (select "US letter" option for accessing templates):
https://www.ieee.org/conferences/publishing/templates.html (i.e., single line spacing, 2-column format). However, ALL REASONABLE
TYPESETTING FORMATS ARE ACCEPTABLE for evaluation. Later, the authors
of accepted papers will be asked to follow the template cited above.
Authors of accepted papers must agree with the standard IEEE CPS
statement in reference to Copyrights (Intellectual Property Rights)
and Policy on Electronic Dissemination:
https://www.computer.org/conferences/cps/copyright and
https://www.ieee.org/publications/rights/index.html
Each paper will be peer-reviewed by two experts in the field for originality, significance, clarity, impact, and soundness. In cases of contradictory recommendations, a member of the conference program committee would be charged to make the final decision (accept/reject); often, this would involve seeking help from additional referees. Papers whose authors include a member of the conference program committee will be evaluated using the double-blinded review process. (Essay/philosophical papers will not be refereed but may be considered for discussion/panels).
Best papers may be invited to write extended versions to our journal Special Issue "Advances in Quantum Machine Learning and Quantum Information".
Luxor by MGM Resorts International.
TO QUALIFY FOR THE CONFERENCE RATE, ROOMS MUST BE RESERVED BY June 21,
2023
First-Come First-Served till the block of hotel rooms are fully booked.
158
institutions
15
speakers
122
sessions
2000
attenders
$575
$675
$495
Authors with more than one accepted paper must pay an "Extra Paper/Publication
Charge" of $495.00 for each extra paper.
For example, the fee for one author attending with two accepted papers
would be: 675 + 495 (or 575 + 495 in the case of a full-time student).
Pablo Rivas
An assistant professor of computer science at Baylor University where
he teaches courses related to machine learning, deep learning,
data mining, and theory. Former assistant professor at Marist College
and earlier at NASA Goddard Space Flight Center working on deep
learning and it applications, including quantum machine learning
and AI Orthopraxy.
rivas.ai
Javier Orduz
A visiting assistant professor of computer science and mathematics
at Earlham College (IN, USA). He is QMexico coordinator, he has been part of the organizing committee of scientific
conferences, paper author, and speaker about Physics, Mathematics
and Computing. J.O. currently works on quantum computing and quantum
machine learning and applications. He is enrolled in different
communities HEP-Mexico, and LXAI,
QWorld, and Washington DC
Quantum
Computing Meetup.
jaorduc.github.io
Sponsors, and supporters from different institutions and countries are welcomed. Contact one of the chairs for more information.