Some problems explode
Every extra yes/no decision doubles the number of possible answers. At a few hundred variables, checking them all is hopeless for any computer.
PhD researcher · University College Dublin
Namasi G. Sankar
I design quantum optimisation methods that scale beyond the limits of today's hardware, and apply them to real problems in genomics.
Pulling quantum advantage into the present
The most useful problems in science often grow too fast for classical computers. Quantum hardware searches them differently, but today's devices are small and noisy, so the work is making them useful now.
Quantum searches differently
Qubits hold many possibilities at once, share correlations no classical bit can, and can tunnel through energy barriers instead of climbing over them.
Today’s hardware is small and noisy
Current devices offer around 150 qubits, sparse connections between them, and errors that pile up with every gate.
QPUs as accelerators
The goal: use quantum processors the way supercomputers use GPUs, as specialised accelerators working alongside classical nodes.
Dig deeper
Research
HADOF & quantum genome assembly
Decomposition, parallel HPQ execution, and topology-aware scaling on IBM hardware.
Read → AnimationsFour ideas, in motion
QUBO decomposition, the HADOF loop, assembly and results — animated.
Watch → PublicationsPapers & preprints
bioRxiv, arXiv, ECAI workshop proceedings, COMSNETS and Energy Economics.
Browse → TalksPosters & presentations
IBM Quantum Developer Conference 2026 and the AIQxQIA workshop at ECAI 2025.
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