Source: unstop Remote / Online
QuHack Hackathon
Organized by Rajiv Gandhi University of Knowledge Technologies (RGUKT), Nuzvid•university•North America
DEADLINESep 11, 2026Registration Closed
EVENT DATESSep 11 - Oct 7Timeline window
PRIZE POOL🏆 Certificates & SwagVerified bounties
QuHack Hackathon
About the Opportunity
OverviewOn the Occasion of IBM + Qiskit Fall FestWelcome to QuHack 2026, an online hackathon focused on Quantum Computing, Quantum Machine Learning, and emerging technologies.Participants will compete in teams to solve one of 100 unique problem statements and build innovative solutions using quantum computing concepts and technologies.What to Expect?100 problem statements to choose fromTeam-based participationQuantum Computing and Qiskit-focused challengesOpportunity to build and develop your solutionSolution and presentation submissionEvaluation by judgesPrizes and recognitionHackathon ProcessRegisterRegister individually or as a team.Choose a ChallengeChoose one of the 100 problem statements released for the hackathon.BuildWork with your team to develop your solution.SubmitSubmit your solution along with the required PPT/documentation before the deadline.EvaluationSubmissions will be evaluated based on innovation, technical implementation, problem-solving approach, and relevance to the problem statement.ResultsThe best solutions will be selected as the winners of QuHack 2026.Recommended SkillsQuantum ComputingQiskitMachine LearningProgrammingProblem SolvingNo prior professional experience is required. Participants are encouraged to learn, experiment, and build during the hackathon.Prizes & RecognitionCash prizes of up to ₹2,00,000Certificates and recognition for winning teams and outstanding participantsSpecial recognition and opportunities from participating industry sponsors may also be availableWho Can Participate?The hackathon is open to students, developers, researchers, and technology enthusiasts interested in exploring quantum computing.100 Challenges. One Hackathon. Your Solution.Register for QuHack 2026 and start building!
Relevant Tech & Domains
AI / Machine Learning
Score Composition (0–100)
Hiring Potential (25%)30%
Organizer Prestige (20%)85%
Accessibility & Format (15%)100%
Data Quality (10%)85%