We often discuss Quip’s technology, network architecture, and long-term vision, but I’m also interested in how the project could create practical value in the real world. Quip may have potential applications in areas such as logistics, finance, AI, manufacturing, and scientific research, but each field has different needs and challenges.
I would like to hear from both the team and the community about which directions seem the most realistic for Quip to explore first. Which types of users or customers could benefit the most, such as research institutions, developers, startups, large companies, or individual users?
It would also be interesting to understand what specific problems these customers currently face and how Quip could solve them better than existing solutions. For example, could Quip provide more affordable access to computing resources, reduce waiting times, support difficult optimization tasks, or make advanced computing easier to use?
I think probably the most important real world problem that should be solved is cryptography. I think quantum focus on breaking SHA-256 is a really great place to start. SHA-256 will likely be broken in the next 2-5 years, so being on the edge in this process is a unique opportunity right now.
Often people say SHA-256 can’t be broken by quantum computers, but there is no effort to even attempt to break it. Having SHA-256 encryption as a stated problem, then focusing research on attempting to break it as a solution, with bounties and incentives for success, I think will result in rapid innovation.
Likely, it won’t happen all at once. Rather, there will be incremental speedups in solution times until it is completely cracked. This research will have huge real world impact for cybersecurity, government, and finance because SHA-256 secures the infrastructure backing most modern institutions. It is critical to the development of future Internet infrastructure. But, right now the opportunity to work on this type of research is extremely limited.
Cryptography is definitely an interesting research direction. I am also curious about how Quip could turn its technology into a practical commercial product or service.
Which commercial use case do you think could attract the first paying customers, and who would those customers likely be?
It may not sound very trendy, but I think medicine is one of the best use cases. If quantum computing can help scientists discover new medicines for diseases like cancer and diabetes by better understanding molecules, it could improve millions of lives.
Right now we can solve a number of optimization problems with the network and, as we’ve announced with our QFT project, we can use quantum computers to create extremely secure RNG sources.
All of the comments so far are good, but there are limits to what the computers can do right now which is where our focus lies at the moment (and, of course, getting this into mainnet).
I agree that research into cryptography is essential. Personally, I think the biggest opportunity isn’t predicting exactly when SHA-256 could be broken, but making sure we’re ready before that day comes. Security upgrades take years to deploy across global infrastructure. By the time the threat becomes obvious, it may already be too late for a smooth transition. That’s why I find projects preparing for the post-quantum era today so interesting.
That makes sense! I’m really excited to see what Quip can do once everything is fully up and running. It already sounds promising, so the future should be really interesting 
I think one of the strongest opportunities for Quip is AI infrastructure rather than replacing classical computing entirely
As AI models continue to grow, access to affordable high performance compute becomes a major bottleneck for startups and researchers
If Quip can provide quantum accelerated workloads through familiar developer tools instead of requiring deep quantum expertise, it could significantly lower the barrier to adoption
Im also curious how the team sees the first commercial use case where quantum computing delivers measurable value over existing cloud infrastructure
yeah - I tend to agree with this. I think this is very well written. real commercial use for quantum delivering value is huge. this is particularly true in the context of AI. nice comment
for quantum, there are a bunch of private companies: D-Wave, IBM, Google, etc. my intuition is they are spending big on quantum R&D. Also governments and USA federal agencies are probably the biggest spenders on quantum technology as customers. There are probably many more. For commercial use, maybe AI, blockchain mining, maybe cybersecurity. I think cybersecurity is most important.
this is an interesting way to look at it. I think upgrades are probably pretty important. but i think a lot of institutions may end up being too late, if they aren’t already too late. so your point that it may already be too late for a smooth transition is well taken. i agree with that.
One area Im personally excited about is optimization for industries where small efficiency gains translate into huge cost savings
Logistics supply chains manufacturing and energy management all rely on solving incredibly complex optimization problems every day
Quip has so many potential directions to explore in the future. I’m really curious to see how far the team can take it.
That’s a really interesting direction. I agree that making quantum-accelerated computing accessible through familiar tools could be much more practical than trying to replace classical computing entirely. I’m also looking forward to seeing which real-world use case the team chooses to focus on first.
That makes a lot of sense. Optimization seems like one of the most realistic areas where Quip could create measurable value, especially in industries where even a sý mall improvement can save a huge amount of time and money. I’m really curious to see which sector the team will focus on first.
I agree Optimization feels like one of the most practical entry points because even small efficiency gains can translate into significant savings at scale Im also curious whether Quip will prioritize industries like logistics and manufacturing first or focus on AI and research where complex optimization problems are already a daily challenge Itll be interesting to see where the team believes quantum computing can deliver the earliest measurable impact