5 papers
Optimizing resource allocation for accuracy in noisy variational quantum algorithms
Harshit Verma, Thomas Ayral, Alexia Auffèves +1
For quantum algorithms to achieve their full potential, we need methodologies to optimize them, such as reaching a given output accuracy with minimal resource costs. Here, we devel…
Computing logical error thresholds with the Pauli Frame Sparse Representation
Thomas Tuloup, Thomas Ayral
We introduce a sparse classical representation, a truncation strategy and a shot-efficient sampling method to push the classical prediction of quantum error correction thresholds b…
A quadratic Grassmann manifold optimization problem arising from quantum embedding methods
Thomas Ayral, Eric Cancès, Fabian M. Faulstich +2
This article presents a mathematical analysis and numerical strategies for solving the optimization problem of minimizing the quadratic function $J(P) = \text{Tr}(BP)- \frac{1}{2}…
Simulation and Benchmarking of Real Quantum Hardware
T. Piskor, M. Schöndorf, M. Bauer +5
The effects of noise are one of the most important factors to consider when it comes to quantum computing in the noisy intermediate-scale quantum computing (NISQ) era that we are c…
Simulated non-Markovian Noise Resilience of Silicon-Based Spin Qubits with Surface Code Error Correction
Oscar Gravier, Thomas Ayral, Benoît Vermersch +2
We investigate the resilience of silicon-based spin qubits against non-Markovian noise within the framework of quantum error correction. We consider a realistic non-Markovian noise…