Three Professors Got Tired of Academic Papers That Never Ship

While most quantum companies are building hardware that works sometimes, maybe, if the temperature is right, Phasecraft decided to focus on software that actually runs on today's broken quantum computers.

Their THRIFT algorithm supposedly cuts quantum operations by factors of millions. Nature Physics published their peer-reviewed research showing significant operation reduction for complex molecular simulations. That sounds impressive until you realize today's quantum computers still break if you look at them wrong. IBM's quantum computers fail like 1% of the time per operation, which sounds good until you realize most programs need millions of operations. But hey, at least someone's working on the software side while everyone else obsesses over qubit counts that mean nothing without error correction.

The company spun out of University College London and University of Bristol when three quantum physics professors realized their research was collecting dust in academic journals while quantum computing companies raised $24 billion in 2024 on theoretical advantages. Quantum computing patents have tripled since 2020, but commercial applications remain limited to optimization and simulation problems. Smart move - VCs love paying for published papers with commercial potential.

Here's what makes Phasecraft different: they're not promising quantum computers that work. They're building software for quantum computers that barely work today but might work better tomorrow. It's like writing drivers for graphics cards that crash 40% of the time - frustrating as hell, but someone has to do it while the hardware people figure their shit out.

Their timing is perfect. Every tech giant is spending billions on quantum research while admitting their systems won't be practical for years. IBM's quantum roadmap extends to 2033 for error-corrected systems. Google's latest Willow quantum chip is impressive in demos but useless for real problems. AWS Braket provides access to multiple quantum systems, but customer use cases remain predominantly research-focused. Microsoft's quantum investments total over $1 billion annually with minimal commercial returns so far. Microsoft's Azure Quantum is essentially a cloud service for accessing other people's experimental hardware.

Phasecraft faces the same problem as every quantum startup: convincing customers that quantum computers that work 60% of the time are better than classical computers that work 99.9% of the time. Their software might be brilliant, but it's still running on hardware held together with liquid helium and prayers.

VCs Are Throwing Money at Quantum Because They Missed Crypto

Phasecraft's funding round represents something bigger: venture capital desperately trying not to miss the next computing revolution. VCs watched Bitcoin go from worthless to $60k and decided they'd rather overpay for quantum than miss out entirely.

The problem is quantum computing has been "5 years away" since I started my computer science degree - which was 20 years ago. Every breakthrough paper gets hyped as the moment quantum goes mainstream, then reality hits. Decoherence times are still measured in microseconds. Error rates make classical computers look perfect. And commercial applications remain theoretical.

But Phasecraft's approach is actually clever. Instead of promising working quantum computers, they're building tools for the broken ones we have today. Their partnerships with BMW and other manufacturers aren't about magical quantum advantages - they're about incremental improvements to classical simulations.

The venture capital math here is simple: if quantum computing works, early software companies become platform plays worth hundreds of billions. If it doesn't, the investment goes to zero. For VCs managing billion-dollar funds, that's an acceptable bet.

What's telling is who's NOT investing: the hyperscalers building actual quantum hardware. Google, IBM, and Amazon are developing their own quantum software stacks. They're not buying what startups are selling - they're building it themselves.

That leaves companies like Phasecraft fighting for the scraps: enterprises that want quantum exposure without building quantum teams. It's a real market, but probably not an $18 billion market. Unless quantum computers suddenly start working reliably, which seems unlikely given that the fundamental physics problems haven't changed.

Quantum Computing Reality Check

Q

Is Phasecraft's algorithm actually breakthrough technology?

A

Their THRIFT algorithm reduces quantum operations by millions of factors, which matters if you're running simulations on today's error-prone quantum computers. It's real improvement, just not magical.

Q

When will quantum computers actually be useful?

A

Commercial quantum advantage for practical problems is still years away. IBM targets 2033 for fault-tolerant systems. Google's latest progress is impressive but limited to specific computational tasks.

Q

Why are VCs investing in quantum now?

A

They missed crypto and don't want to miss the next computing revolution. Better to overpay for quantum exposure than explain to LPs why they sat out the future of computing.

Q

What problems can quantum computers solve today?

A

Very specific optimization problems, some cryptography research, and quantum simulations. Nothing that affects normal business operations or consumer applications.

Q

Is this another tech bubble?

A

Quantum valuations are definitely inflated. Whether that's bubble pricing or early investment in transformational technology depends on whether quantum computers ever work reliably at scale.

Q

Should companies invest in quantum research?

A

Large enterprises with complex optimization problems might benefit from pilot programs. Most companies should wait until quantum computers can run for more than a few microseconds without breaking.

Q

What makes Phasecraft different from other quantum startups?

A

They're building software for broken quantum computers instead of promising perfect quantum computers. It's a more realistic approach but still dependent on hardware that barely works.

Q

Will quantum computing kill current encryption?

A

Eventually, yes, but not anytime soon. Breaking RSA encryption requires fault-tolerant quantum computers that don't exist yet. Current quantum systems can't even run Shor's algorithm on meaningful key sizes.

Q

What happens if quantum computing doesn't work out?

A

The companies building actual hardware (Google, IBM, IonQ) lose billions but survive. Quantum software startups like Phasecraft probably disappear unless they pivot to classical computing applications.

Q

Should developers learn quantum programming?

A

Unless you're working at a quantum research lab, probably not. Focus on classical computing skills that actually matter for shipping products. Quantum programming will matter when quantum computers work consistently.

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