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
Quantum-related presentations are listed below in chronological order. All dates and times are in U.S. Pacific Time. Recorded and other non-timed presentations follow the live schedule.
The following papers have no timed live slot in the current official program. Confirmed recorded presentations are identified below.
These accepted papers are included in the ICEQT website records, but their presentation details are still being confirmed with the authors and the main conference organizers.
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’26), to be held on July 20-23, 2026, 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
ICEQT 2026 is accepting rolling submissions until July 10, 2026. Decisions are expected approximately 7 days after submission.
Paper Submission Deadline: Rolling submissions, but no later than July 10, 2026.
PUBLISHER: Springer Nature (https://www.springernature.com/)
IMPORTANT: Many universities and institutions require their faculty and
PhD students to publish papers indexed in major Science
Citation Index (SCI) systems. Due to overwhelming requests
from authors, we decided to choose a publisher more proactive
in the SCI indexing process than the one previously announced.
We are pleased to report that on June 16, Springer Nature's
management informed us they will meet our indexing needs.
Therefore, all accepted papers for ICEQT 2026 will benefit
from enhanced and elevated SCI indexing.
INDEXATION: The published proceedings will be submitted for indexing in
the CPCI, part of Clarivate Analytics' Web of Science;
Scopus; EI Engineering Index; Google Scholar; DBLP; and
others.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
For author or reviewer inquiries, please contact iceqt@rivas.ai.
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).
Luxor by MGM Resorts International.
Conference-rate hotel reservations are available through the official hotel booking portal on a first-come, first-served basis, subject to availability.
Reservations
800-926-4737 or 702-262-4445.
Mention the Group Code "CSREA 2026"
This is the code that the hotel will use to handle the reserved block
of rooms.
148
institutions
15
speakers
112
sessions
1000
attendees
$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 — Chair
Pablo Rivas is an associate professor of computer science whose research spans machine learning, AI ethics, and quantum machine learning. His recent work includes quantum learning under noise and robust methods for quantum machine learning, making his work closely aligned with ICEQT’s focus on quantum computing, QML, and AI for quantum systems.
Javier Orduz — Co-Chair
Javier Orduz is a researcher and educator working at the intersection of quantum computing, quantum machine learning, and data science. His work focuses on mathematical and computational methods for hybrid quantum-classical systems, and he has taught and conducted research at UNAM, Earlham College, and Baylor University.
Casimer DeCusatis — Program Chair
Casimer DeCusatis is an associate professor at Marist University and a former IBM Distinguished Engineer with deep experience in advanced computing systems, networking, and cybersecurity. His background in large-scale technical systems, secure computing, and emerging technologies supports the program-building side of ICEQT and complements the conference’s broader interests in advanced and quantum-enabled computing.
The ICEQT 2026 leadership team is affiliated with the following institutions.
