Insider Brief
- Phasecraft unveiled Mondrian, a quantum-enhanced software platform that accelerates classical optimization for hard industrial problems across energy, finance, logistics, and other sectors.
- Mondrian uses outputs from quantum algorithms to speed existing classical solvers, enabling high-quality results on today’s error-prone, small-scale quantum hardware.
- Backed by a £1.2M UK Quantum Catalyst Fund award and co-developed with the UK National Energy System Operator, early tests report up to 1,000× speed-ups on grid use cases like power exchange, intentional islanding, and renewable siting, with trials already under way with partners.
PRESS RELEASE – Phasecraft – the world’s leading quantum algorithms company – has unveiled Mondrian, its first-of-its-kind quantum-enhanced software platform designed to speed up classical optimization algorithms and apply them to hard optimization and constraint satisfaction problems across several industries.
Mondrian demonstrates how classical and quantum computing can work together to tackle some of the most complex optimization problems facing industries such as energy, finance, and logistics. The software platform, whose development was initially funded via a £1.2 million Quantum Catalyst Fund award from the UK Government, was developed in close collaboration with the UK’s National Energy System Operator (NESO), and is already being tested by several industrial and academic partners.
Smarter Optimization for a Greener Grid
When applied to energy networks, Mondrian addresses one of the UK’s most pressing computational problems: how to efficiently run increasingly complex energy grids as demand rises, renewable integration grows, and the cost of new infrastructure soars. Grid operators can use Mondrian to determine network efficiency, reduce energy losses, plan network expansion, and site renewables and sensors more effectively.
Mondrian implements Phasecraft’s new “quantum-enhanced optimization” approach, in which the output of a quantum algorithm is used to accelerate an existing classical algorithm. This enables high-quality results to be obtained from today’s error-prone quantum computers, and allows problems to be addressed that are too large and complex to fit onto small-scale quantum hardware directly.
Early testing shows Mondrian delivers speed-ups of up to 1,000x for optimization problems that map onto real-world use cases explored with NESO, including power exchange calculations, intentional islanding, and renewable resource placement. This applies to similarly critical problems in industries like logistics, finance, communications networks, and more.
Ashley Montanaro, co-founder and CEO of Phasecraft, said: “With the launch of Mondrian, we take a major step toward commercial quantum utility, showing how enhanced quantum algorithms can unlock near-term breakthroughs across sectors that face large-scale optimization problems. We’re rolling out secure access to Mondrian over the coming month and invite energy, infrastructure and logistics operators to reach out to get involved. ”
