Quantum Finite Temperature Lanczos Method
Introducing a hybrid method for computing thermal expectation values combining real-time quantum Krylov methods with typical-state trace estimation.
Research
Publications
Selected publications in quantum algorithms, many-body dynamics, and quantum machine learning.
From Quantum Computing Algorithms to Human Health Applications: Tunnelling through the Disciplinary Barriers
A collaborative working paper on hybrid quantum-classical methods for quantum-enhanced computational drug discovery.
Correcting and Extending Trotterized Quantum Many-Body Dynamics
A hybrid quantum-classical ansatz for correcting Trotter errors, enabling hardware-efficient simulations, and extending simulated system size.
Overhead-Constrained Circuit Knitting for Variational Quantum Dynamics
Distributing variational quantum dynamics over multiple quantum devices via circuit knitting with overhead constraints.
The Complexity of Quantum Support Vector Machines
Analysis of the computational complexity of quantum support-vector machines, based on master thesis work at IBM Research Zurich.
Quantum Kernel Alignment with Stochastic Gradient Descent
Conference paper on training quantum kernels via stochastic gradient descent, published in the 2023 IEEE International Conference on Quantum Computing and Engineering.