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Highlights
Quantum computing is influencing the future of food by making protein functionality more predictable and, in the future, programmable.
- A new signal: True Nexus and Pasqal have encoded protein structures linked to gelation on quantum hardware.
- A strategic shift: Food innovation could move from discovering proteins to designing them for specific performance outcomes.
- Five technologies affected: Alternative Proteins, Cellular Agriculture, Genomics, The Microbiome and Synthetic Biology will all benefit.
- A realistic timeline: AI is delivering formulation gains today, while quantum computing remains a five to ten-year capability question.
What if the next breakthrough in emerging food technologies isn’t a new protein source, but the ability to design exactly how that protein behaves?
That’s why the True Nexus and Pasqal collaboration is such an important signal.
As reported by Food Ingredients First, the companies have successfully encoded selected protein structures linked to gelation on quantum hardware.
Gelation is the process that turns a liquid into a gel. It helps create the texture, structure and stability we associate with foods such as yoghurt, desserts, confectionery and meat alternatives.
Nearly 60% of global food and beverage consumers report actively adding more protein to their diets, according to Innova Market Insights, yet the real constraint is predictable performance, not supply.
Neutral-atom quantum computing uses laser-held atoms as the building blocks of a quantum processor. In plain English, it gives researchers a different way to explore extremely complex interactions that are difficult for conventional computers to model.
The aim is to combine AI’s ability to identify patterns with quantum computing’s potential to explore difficult molecular relationships.
That can help food companies understand not only what a protein is, but how it will gel, bind water, create mouthfeel or hold its structure during processing.
Why this matters for the five technologies
This is where my Quantum Computing accelerator begins to influence the five core technologies in the TECHXponential™ model. It’s also a reminder that emerging food technologies are being shaped by connected capabilities, not isolated tools.
The four accelerators in the model are AI, Energy, Quantum Computing and Sensors, and Quantum Computing is the one now moving from theory into formulation practice.
- Alternative Proteins could be designed around performance rather than simply protein content. The question becomes whether a protein can deliver the right bite, stability, juiciness or stretch.
- Cellular Agriculture could use more precise models to develop cells and tissues with useful structural properties, rather than treating texture as a problem to solve at the end.
- Genomics could connect genetic information with practical food performance. That may eventually help researchers identify which biological traits are most valuable for specific applications.
- The Microbiome could benefit from better understanding of how proteins, fibres and other food components interact in complex systems. This may support future products designed for both nutrition and function.
- Synthetic Biology, including precision fermentation, could move towards producing proteins designed for a target outcome. That’s a major shift from making an existing protein and hoping it performs well in a finished product.
The biggest opportunity is the ability to move from protein discovery to protein design.
The two-speed reality
I’m excited by this signal, but I don’t want leaders to confuse a breakthrough demonstration with an immediately available commercial tool.
AI is already helping food companies screen ingredients, identify formulation patterns and reduce some trial and error. That’s where practical gains are happening today.
Quantum computing is different. It’s still an emerging capability. The True Nexus and Pasqal work shows a direction of travel towards an industrial platform.
My planning horizons look like this.
- One year. Use AI, formulation data and sensors to improve product development now. Start building the data foundations that future quantum applications will need.
- Three years. Track partnerships between quantum companies, ingredient businesses and food manufacturers. Look for early pilots focused on texture, stability and molecular design.
- Five years. Treat quantum computing as a serious capability question for R&D, ingredient strategy and innovation portfolios.
- Ten years and beyond. Prepare for a food system where companies may specify a desired function first, then design the protein, production method and formulation around it.
That’s why quantum computing shouldn’t be a this-year budget line. But it definitely should be part of a longer strategic conversation.
As I explored in The Autonomous Acre, the winners in the future food system won’t simply adopt individual technologies. They’ll understand how emerging food technologies reinforce one another.
The strategic question for leaders
The important question is whether your innovation pipeline is ready to move from finding ingredients to designing performance.
Are your teams capturing the right formulation data? Are your product briefs describing the functionality you need? Are you watching the signals that could reshape your category over the next five or ten years?
The True Nexus and Pasqal linkup suggests that protein functionality is becoming a computational problem.
And once functionality becomes computable, it could very well become programmable.
That’s a very exciting prospect for food, beverage and agriculture businesses. It’s also a reminder that the future is arriving through connections between technologies, not through isolated breakthroughs.
My FutureCUBED™ process helps organisations identify those connections and translate them into practical decisions across one, three, five and ten-plus-year horizons.
To continue the conversation email me at tony@futuristforfood.com
