Conference Information

SEQUENCE 2026: International Symposium on Quantum Intelligence

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SEQUENCE
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Submission Date:
2026-09-21 Due tomorrow Extended
Notification Date:
2026-10-07
Conference Date:
2026-10-22
Location:
Ostrava, Czech Republic
Years:
1
Organizer:
Viewed: 580   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

37.5 / 100
Ranked #5,537 of 5,682 conferences · Top 98%
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
19
Community attention (10%)
10
Public record completeness (15%)
35

Inputs used: Editions on record: 1 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-20

Call For Papers

SEQUENCE 2026 (International Symposium on Quantum Intelligence) is an academic conference held in Ostrava, Czech Republic on 2026-10-22. The paper submission deadline is 2026-09-21 (extended). Acceptance notifications are sent on 2026-10-07.

About SEQUENCE SEQUENCE is aimed at catering to the growing interest in quantum computing and related developments all around the world. The primary motivation behind the inaugural edition in SEQUENCE 2026 lies in the fact that it will enable quantum computing researchers to showcase their novel and intelligent initiatives in this direction. This initiative also aligns with 2025 being declared as the International Year of Quantum Science and Technology by the United Nations. Foundations Theoretical foundations of quantum machine learning Quantum algorithms for intelligent applications Hybrid quantum-classical machine learning approaches Optimization of quantum circuits Quantum variational circuits for machine learning applications Quantum machine learning for state tomography Quantum fuzzy logic and quantum metaheuristics Tensor methods and quantum-inspired machine learning Quantum-enhanced machine learning models Quantum error correction and mitigation models Multilevel quantum systems Applications Pattern recognition and image processing Portfolio optimization and fraud detection Next-Generation Communication Networks Imaging Modalities and Sensing Techniques Music generation and cognition Drug design and discovery Internet security and cryptography IoT and Blockchain
Last updated by Siddhartha Bhattacharyya on

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