Q2B Offers Complimentary Admission for Selected Case Study Speakers

Q2B is prioritizing demonstrations of practical quantum technology by specifically seeking case studies from industry users, excluding submissions rooted in academic theory. The conference will showcase real-world applications in areas like computing, communications, security, and sensing, with a firm rule about who presents them: case studies “may be submitted by industry users of quantum vendor technology to highlight their use case.” While end-users are expected to lead the presentations, vendors sponsoring Q2B are permitted to join them on stage, creating a potentially revealing dynamic. As a benefit, selected end-customer speakers will receive complimentary admission to the Q2B conference, incentivizing companies to share details of their quantum implementations and the impact of their work.

Q2B Quantum Case Study Showcase: Real-World Application Focus

Unlike many forums focused on theoretical advancements, Q2B aims to highlight industrial use cases, requesting submissions directly from end-users of quantum vendor technology. Conference organizers state that the forum is aimed at industrial use cases rather than academic or theoretical ones. The presentation structure enforces a clear division of narrative control, mandating that case studies be delivered by the end-user organization, with an exception made only for vendors sponsoring the Q2B event, allowing for a collaborative presentation. This emphasis on end-user presentations, coupled with the admission perk, signals a deliberate effort to move beyond potential and showcase tangible impacts of quantum technology, fostering a more transparent exchange of practical knowledge within the industry. The Q2B showcase intends to spotlight successful quantum journeys, including challenges overcome and solutions implemented, offering valuable insights for others considering similar deployments.

End-User Submissions & Q2B Conference Participation Details

The accelerating transition of quantum technology from research to deployment is now driving a demand for demonstrable results beyond theoretical potential; the Q2B Quantum Case Study Showcase reflects this shift by specifically soliciting submissions from industry users, excluding academic or purely theoretical work. Organizers state that this showcase is a unique platform for end-users of quantum applications to exhibit their successful use of quantum technology, with a clear preference for presentations delivered by the companies implementing the solutions. This structure aims to highlight successful quantum journeys, focusing on real-world applications rather than future promises. This emphasis on end-user narratives signals a maturing quantum ecosystem, one increasingly focused on validation and return on investment; the conference’s structure underscores a desire to move beyond proof-of-concept demonstrations and toward tangible deployments. The call for submissions prioritizes detailing the entire quantum journey, from initial hurdles to realized benefits, offering a valuable resource for organizations considering similar implementations.

This forum is aimed at industrial use cases rather than academic or theoretical ones.

Q2B
Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: