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quant-ph2026

Pulse Quality Optimisation in Quantum Optimal Control

Dylan Lewis, Roeland Wiersema

Quantum optimal control methods are widely used to design experimental control pulses such as laser amplitudes, phases, or detunings, that implement a target unitary evolution. In…

quant-ph2026

Hessian-vector products for tensor networks via recursive tangent-state propagation

Isabel Nha Minh Le, Roeland Wiersema, Christian B. Mendl

Optimizing tensor networks with standard first-order methods often leads to slow convergence and entrapment in local minima. Although second-order optimization offers enhanced robu…

quant-ph2026

Entanglement and optimization within autoregressive neural quantum states

Andrew Jreissaty, Hang Zhang, Jairo C. Quijano +2

Neural quantum states (NQSs) are powerful variational ansätze capable of representing highly entangled quantum many-body wavefunctions. While the average entanglement properties o…

quant-ph2026

Neural Quantum States in Mixed Precision

Massimo Solinas, Agnes Valenti, Nawaf Bou-Rabee +1

Scientific computing has long relied on double precision (64-bit floating point) arithmetic to guarantee accuracy in simulations of real-world phenomena. However, the growing avail…

quant-ph2025

Circuit compression for 2D quantum dynamics

Matteo D'Anna, Yuxuan Zhang, Roeland Wiersema +2

The study of out-of-equilibrium quantum many-body dynamics remains one of the most exciting research frontiers of physics, standing at the crossroads of our understanding of comple…

quant-ph2025

Beyond-classical computation in quantum simulation

Andrew D. King, Alberto Nocera, Marek M. Rams +60

Quantum computers hold the promise of solving certain problems that lie beyond the reach of conventional computers. However, establishing this capability, especially for impactful…