The future of Quantum Computing
Exclusive Early Access to the Definitive Quantum Technology Forecast.
Powered by 20 Years of MIT Research and TechNext's Patented Prediction Algorithm
TechNext’s Quantum Tech Forecast 2025
gives you an in-depth understanding of:
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The Likelihood of solving important problems such as RSA encryption and simulation of materials.
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Qubit Architecture Showdown:
Superconducting vs. photonic vs. trapped-ion -
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The Emerging Quantum Supply Chain
What’s inside
When (if) will quantum computers break RSA-2048?
Our analysis predicts the likelihood and timeframe for Quantum solutions solving critical problems, including the breaking of RSA encryption and simulation of materials.
Qubit Architecture Showdown
Superconducting vs. photonic vs. trapped-ion vs. neutral atoms vs. quantum dots
A rigorous analysis of which qubit architecture (Superconducting, Photonics, Trapped Ion, etc.) possesses the fastest rate of improvement and is likely to dominate commercial applications
The Emerging Quantum Supply Chain
A map of key players beyond the usual integrators. Learn who the potential “Nvidia of Quantum” might be – the component makers and enablers poised to gain as the industry matures.
Secure First-Mover Advantage
Secure First-Mover Advantage
The public release is months away. We are inviting a select group of equity research leaders to access the analysis now and benefit from a decisive information advantage. Conflicting predictions from industry titans create volatility, not viable strategy. As the recent boom-bust cycles in tech demonstrate, immensely talented organizations waste billions pursuing dead-ends by relying on intuition over data.
In equity research, timing is the difference between genius and disaster. You require systematic, data-driven foresight.
TechNext brings you these insights through a patented, MIT-developed forecasting system unlike any other. We’ve developed an algorithm from 20+ years of MIT research that analyzes massive empirical datasets – from patent network centrality to performance metrics – to quantitatively predict technology improvement rates. In plain terms, we cut through hype with hard data. Our platform has guided the U.S. Air Force and some of the largest companies, investment funds and VCs in strategic R&D decisions, and now we’re applying it to quantum computing so you can make informed moves before your competitors do.
"Traditional forecasting methods can't keep pace with technological change. Our newly patented system... provides the crucial missing piece: a rapid, data-driven, and systematic way to anticipate the future." Prof. Christopher L. Magee, Co-founder, TechNext (Professor Emeritus, MIT)
As Featured In
✺ Frequently asked questions ✺
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The report includes content plus complimentary (but restricted) access to TechNext system for 1 month. The team be on call to answer any questions you have.
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We’ve developed an algorithm from 20+ years of MIT research that uses massive empirical datasets, an ML model based on patent network centrality and performance metrics measured over decades, to quantitatively predict technology improvement rates. All of our research is published in top journals and auditable for trust and robustness (see technologyrates.mit.edu). This is one-of-a-kind, research not available until we invented it.
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Apart from tonnes of published paper which have been in prescient in predicting technology change, we also have detailed studies available on request.