Shaping Quantum for Practical Advantage

Quantum hardware is capable of meaningful breakthroughs,
but standard algorithms leave users with a fuzzy picture full of errors.
Phasecraft’s algorithms are 43,000,000x more efficient
than standard approaches.

Magritte: Quantum-Enhanced Materials Modeling

Classical computers model materials using Density Functional Theory (DFT). But DFT struggles with quantum correlations, the very phenomena that determine a material's most interesting properties.
Classical computers model materials using Density Functional Theory (DFT). But DFT struggles with quantum correlations, the very phenomena that determine a material's most interesting properties.

QEDFT blends quantum and classical computing to capture the best from each, resting on advanced quantum algorithms for materials and molecular modeling. Magritte uses quantum algorithms to model materials, the foundation for QEDFT.

Quantum-Enhanced Density Functional Theory
Quantum-Enhanced Density Functional Theory
Classical DFT provides the structural framework.
Classical DFT provides the structural framework.
Together, they simulate materials and molecules beyond either system's reach.
Together, they simulate materials and molecules beyond either system's reach.

Our Magritte tool brings QEDFT to life, optimizing and building quantum circuits for real materials.

Mondrian:
Quantum-Enhanced Optimization

Test Mondrian on real network optimization problems via our emulator to see quantum-enhanced speedups firsthand.

Optimization problems like portfolio balancing, network routing, and logistics demand finding the best solution among billions. Classical solvers start from random guesses.
Optimization problems like portfolio balancing, network routing, and logistics demand finding the best solution among billions. Classical solvers start from random guesses.

Mondrian generates superior starting points. 

Quantum hardware explores exponentially large solution spaces in parallel.
Quantum hardware explores exponentially large solution spaces in parallel.
Our algorithms use this to generate structured initial solutions for classical solvers.
Our algorithms use this to generate structured initial solutions for classical solvers.
Classical optimizers then refine them, up to 1000× faster.
Classical optimizers then refine them, up to 1000× faster.

Quantum hardware provides fantastic tools but mastering them takes the right technique. Ours is the result of years of dedicated refining. 

Quantum hardware provides fantastic tools but mastering them takes the right technique. Ours is the result of years of dedicated refining. 

Algorithmic efficiency

01

Fewer operations means less exposure to noise. Our 43M× efficiency improvements compress billion-gate workloads into thousands.

Algorithmic efficiency

01

Fewer operations means less exposure to noise. Our 43M× efficiency improvements compress billion-gate workloads into thousands.

Error mitigation

02

We craft noise filters for each computation, rather than rely on generic correction schemes. We preserve what matters and discard what doesn't.

Error mitigation

02

We craft noise filters for each computation, rather than rely on generic correction schemes. We preserve what matters and discard what doesn't.

Precise application

03

We limit quantum's role to what it does uniquely well. Classical computation handles the noise-sensitive bookkeeping while quantum handles the correlations classical cannot capture.

Precise application

03

We limit quantum's role to what it does uniquely well. Classical computation handles the noise-sensitive bookkeeping while quantum handles the correlations classical cannot capture.

The result is algorithms designed to extract value from today's NISQ hardware, but which also forge a clear path to tomorrow's fault-tolerant machines.

Integrating Phasecraft into your technology stack

01

Magritte and QEDFT construct functionals that can be used within standard DFT workflows.

02

Mondrian accepts standard optimization formulations and returns solutions through classical interfaces.

No quantum PhD required

No infrastructure overhaul

The craft is ours. 
The results are yours.

Phasecraft partners with the world’s leading quantum hardware providers.

Each has distinct characteristics:

Each has distinct characteristics:
• Speed • Fidelity
• Connectivity • Noise profiles 

Most companies bet on one. We work with all.

Speed

Fidelity

connectivity

noise profiles

Most companies bet on one. We work with all.

Most companies bet on one. We work with all.

Most companies bet on one. We work with all.

Why go hardware-agnostic
with Phasecraft:

01

De-risked technology choice

No vendor lock-in; algorithms adapt as hardware evolves.

02

Cross-platform insights

Multiple architectures reveal universal techniques vs. hardware-specific adaptations.

03

Optimized for each

~90% of gains we achieve come from platform-agnostic algorithms; the final 10% is tuned per device.

You get the best of the world’s leading quantum platforms without having to choose a single winner.

Built on Theory. Tested on Hardware.

Every claim rests on rigorous research
and real-hardware validation.

20+ publications across Nature Communications, Physical Review Letters, Quantum,
and more.

Cross-platform results prove our methods work in practice, not just on paper.

Record-breaking demonstrations:

01

43M× algorithmic efficiency in materials modelling over previous quantum methods

(Nature Communications)

02

First theoretical evidence that near-term quantum optimization can outperform classical

(QIP 2023)

03

Error mitigation techniques enabling the use of 4× more qubits and 10× more operations than previous experiments

(Nature Communications)

We don't announce breakthroughs without substance. We don't claim advantage without evidence.

Quantum computing isn't decades away. Phasecraft's algorithms are positioned to deliver value through quantum in the near term, with demonstrations available now and production deployments approaching rapidly. 

Quantum computing isn't decades away. Phasecraft's algorithms are positioned to deliver value through quantum in the near term, with demonstrations available now and production deployments approaching rapidly. 

We're rounding quantum’s edges
into a more practical shape.

Every operation precise, every cycle productive.

Female scientist in gloves using a microscope beside test tubes, with overlay text about merging biotech, AI, and human-centric research.
Female scientist in gloves using a microscope beside test tubes, with overlay text about merging biotech, AI, and human-centric research.