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
Density Functional Theory (QEDFT)
QEDFT blends quantum and classical computing to capture the best from each, resting on advanced quantum algorithms for materials and molecular modeling.
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.
Mondrian generates superior starting points.
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.
Shallow circuits for less noise
Through a combination of advanced techniques and rigorous research, the Phasecraft team has built quantum algorithms that cut through the noise and cut out the errors that standard deep circuit approaches are prone to.
Phasecraft partners with the world’s leading quantum hardware providers.
Why go hardware-agnostic
with Phasecraft:
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:
43M× algorithmic efficiency in materials modelling over previous quantum methods
(Nature Communications)
First theoretical evidence that near-term quantum optimization can outperform classical
(QIP 2023)
Error mitigation techniques enabling the use of 4× more qubits and 10× more operations than previous experiments
(Nature Communications)





