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ICQCML · Registering as Listener
International Conference on Quantum Computing and Machine Learning
8–9 Oct 2026
Dublin, Ireland
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169
virtual · $259 in person
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1. Policy on Cancellations & Refunds :
A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.
2. Participation & Registration Requirements :
To attend an ISIT event, participants must complete the registration process within the stipulated time.
The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
ISIT is not liable for any financial losses resulting from changes in event details.
Fees paid for registration are strictly non-refundable.
If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.
3. Submission & Publication Norms :
Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
Each submission is subject to a rigorous peer review before being accepted for presentation.
Only papers linked to a completed registration will be included in conference proceedings.
The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
Once a paper is removed, it cannot be reintroduced into any ISIT publication.
4. Travel & Accommodation Responsibilities :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
5. Visa & Invitation Letter Policy :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
ISIT does not engage directly with consulates or embassies on behalf of attendees.
Participants must handle their own visa applications and processes.
Important Information Regarding Invitation Letters:
The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
The letter assists in visa applications but does not guarantee visa approval.
ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
Legal action may be pursued if the document is misused.
By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.
6. Registration Transfers :
Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
Transfer requests must be made via email to info@isit.org.in with necessary details and supporting documents.
Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
Transferred registrations are not eligible for refunds.
7. General Considerations :
Any modifications or cancellations must be communicated in writing to info@isit.org.in.
Registration confirms acknowledgment and acceptance of these policies.
ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
Once registered, participants must submit a conference registration form within three days for confirmation.
Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
01
Quantum Algorithms for Machine Learning
This track focuses on the development and analysis of quantum algorithms specifically designed for machine learning tasks. Contributions may include novel approaches that leverage quantum principles to enhance computational efficiency and accuracy.
02
Quantum Neural Networks: Theory and Applications
This session explores the theoretical foundations and practical implementations of quantum neural networks. Researchers are invited to present innovative architectures and their applications in solving complex problems.
03
Quantum Optimization Techniques in Machine Learning
This track addresses the integration of quantum optimization methods within machine learning frameworks. Papers should discuss how quantum techniques can improve optimization processes in training machine learning models.
04
Quantum-Enhanced Learning Paradigms
This session investigates the impact of quantum computing on various learning paradigms, including supervised and unsupervised learning. Contributions should highlight the advantages of quantum-enhanced approaches over classical methods.
05
Quantum Data Analysis and Feature Extraction
This track focuses on methodologies for analyzing quantum data and extracting relevant features for machine learning applications. Submissions should present novel techniques that exploit quantum properties for improved data insights.
06
Hybrid Quantum-Classical Models in AI
This session explores the development of hybrid models that combine quantum and classical computing techniques in artificial intelligence. Researchers are encouraged to present case studies demonstrating the effectiveness of such models.
07
Reinforcement Learning in Quantum Systems
This track examines the intersection of reinforcement learning and quantum systems. Papers should focus on novel algorithms and their applications in environments that leverage quantum mechanics.
08
Quantum Classification and Predictive Modeling
This session highlights advancements in quantum classification techniques and their applications in predictive modeling. Contributions should demonstrate how quantum methods can enhance classification accuracy and model performance.
09
Anomaly Detection Using Quantum Techniques
This track focuses on the application of quantum computing for anomaly detection in various datasets. Researchers are invited to present innovative solutions that utilize quantum algorithms to identify outliers effectively.
10
Deep Learning Integration with Quantum Computing
This session investigates the integration of deep learning methodologies with quantum computing frameworks. Contributions should explore how quantum resources can enhance deep learning architectures and processes.
11
Quantum Simulation for Machine Learning Applications
This track examines the role of quantum simulation in advancing machine learning applications. Papers should discuss how quantum simulations can provide insights and improve the performance of machine learning models.