Enhancing near-term quantum computing

Can quantum computers already do more than their fragile hardware seems to allow? PhD student Marten Folkertsma (CWI, QuSoft) shows that by interleaving partial quantum measurements with classical processing, even the most error-prone early-stage devices can perform more complex computations than previously thought.

On 19 January 2026 Folkertsma defends his PhD thesis 'Empowering Quantum Computation with: Measurements, Catalysts, and Guiding States' at the University of Amsterdam. His results are relevant for researchers developing the next generation of quantum technology.

Strengthening quantum computers

Folkertsma identifies ways to enhance quantum computers at different stages of their development. In early-stage devices, intermediate measurements combined with fast classical feedback can expand what is computationally possible. When only a few high-quality qubits are available, additional 'catalytic' memory can boost the machine's capabilities. In more advanced applications, such as quantum chemistry calculations, combining classical guiding states with quantum computations helps approximate energies vital for simulating chemical systems, showing how combining quantum and classical techniques can make quantum hardware more effective across the board.

Connecting theory and experiments

Folkertsma's research strengthens the bridge between algorithms, complexity theory, and emerging quantum hardware. The work received financial support from the Dutch Ministry of Economic Affairs and Climate Policy (EZK) as part of the Quantum Delta NL programme. It was carried out in the Algorithms & Complexity group at CWI, and was also affiliated with QuSoft, the Dutch research center for quantum software & technology. Launched by CWI and UvA, QuSoft builds on the institutions' excellent track record in quantum computing and quantum information.

Header picture made by Ivar Pel for CWI.