Quantum Dice Launches £5,000 Use Case Challenge for Innovators

Quantum Dice is offering a first-place prize of £5,000 and a six-month research collaboration, incentivizing innovators to apply probabilistic computing to real-world optimization challenges. Unlike many innovation contests, the Quantum Dice Use Case Challenge is open to anyone, explicitly stating that no student status is required, broadening the potential applicant pool and seeking diverse perspectives. Shortlisted applicants will also be prioritized for a 2027 Summer Internship, adding another benefit to participation beyond the cash prizes. The challenge invites participants to develop solutions across various industries, with a final submission deadline in late June and judging to follow in early July; successful teams will also receive support to publish their results and present at a Quantum Dice Demo day.

Quantum Dice Challenge: Prizes & Collaboration Opportunities The Quantum Dice Use Case Challenge extends beyond financial rewards; successful participants gain access to sustained research opportunities, demonstrating a commitment to implementing innovative solutions. This inclusivity suggests Quantum Dice values a wide range of experience in tackling complex optimization problems. Beyond the first-place prize of £5,000 and the potential for a six-month research collaboration, the challenge offers significant incentives for those who reach the shortlist. Shortlisted applicants are automatically prioritized for a 2027 Summer Internship, providing a clear pathway to further engagement with Quantum Dice’s technology and research teams. This tiered reward system acknowledges effort and potential even without a top-three finish, making participation worthwhile for a larger group of innovators. The challenge timeline, beginning with registration concluding on May 4, is structured to support development through three stages, culminating in a final submission in late June. The competition builds on the success of previous winners, such as Team Entropica, whose Michaelmas 2025 solution focused on “a probabilistic computing approach for managing risk across highly correlated choices,” and The Committed Units, who tackled the stochastic unit commitment problem. Links to team interviews are available for those interested in learning more about past projects. Quantum Dice invites innovators to explore the power of probabilistic computing, offering not just recognition, but a platform for collaborative development and real-world impact, with further inquiries directed to challenge@quantum-dice.com. May 7, June 26, 2026: Development & Benchmarking Stages Following the registration period concluding on May 4, the Quantum Dice Use Case Challenge enters its core development and benchmarking phase from May 7 to June 26, 2026. This eight-week period is structured around three distinct stages, designed to guide participants through solution development and rigorous testing of probabilistic computing applications. Initially, teams of one to three members will select a use case from a provided list and outline their proposed approach, focusing on key parameters for addressing the chosen optimization problem. This initial stage emphasizes conceptual design and strategic planning before moving into practical implementation. The second stage requires participants to define specific performance metrics for their models, demonstrating where probabilistic computing can deliver measurable improvements over conventional methods. Participants must clearly articulate justification for employing this approach, explaining why it’s superior for the selected problem. The final stage involves running benchmarks on the Quantum Dice simulator, allowing for quantitative assessment of solution efficacy. An assessment will conclude each stage, selecting the most promising projects to advance within the challenge; this tiered evaluation process ensures only high-potential solutions progress. Beyond the competitive aspect, participants gain access to both probabilistic computing software and hardware, facilitating hands-on experience with this emerging technology. Successful teams not only contend for cash prizes, £5,000 for first place, £2,000 for second, and £1,000 for third, but also the opportunity to collaborate on research for six months. Team Entropica, Committed Units, Quantext, Michaelmas 2025 Winners The Quantum Dice Use Case Challenge concluded its Michaelmas 2025 phase with three teams demonstrating innovative applications of probabilistic computing, showcasing solutions ranging from financial risk management to energy grid optimization. Team Entropica secured first place with a probabilistic approach to managing risk in correlated choices, specifically applied to portfolio-level optimization within sports betting; their work, detailed in a team interview available online, highlights the potential for reducing uncertainty in complex decision-making processes.

The team’s success earned them a £5,000 cash prize and a six-month research collaboration opportunity with Quantum Dice, extending beyond simple financial reward to foster continued development of their algorithms. Following closely, The Committed Units took second place by tackling the stochastic unit commitment problem, a critical challenge in energy grid management; their solution optimizes power generation schedules under uncertain demand, aiming to minimize costs while maintaining grid stability.

Like Team Entropica, The Committed Units also received a £2,000 cash prize and the opportunity to collaborate with Quantum Dice researchers for six months, alongside being shortlisted for the 2027 Quantum Dice Summer Internship.

The Quantext Team rounded out the top three, presenting a retrieval-augmented generation (RAG) system that leverages probabilistic computing to improve information retrieval in artificial intelligence applications by selecting complementary, non-redundant context. The challenge, which concluded with judging in early July, explicitly welcomed participants regardless of student status, broadening the scope of potential solutions and fostering a diverse range of perspectives. A probabilistic computing approach for managing risk across highly correlated choices, demonstrated through portfolio-level optimisation in a sports betting use case.

Team Entropica Source: https://quantum-dice.com/challenge Tags: