activity
19952025
most citedThe power of quantum neural networks

1k citations · 2.4k across the 38 of their papers we have counts for

collaborators

38 papers

quant-ph2025★ 2 cited

Uhlmann's theorem for relative entropies

Giulia Mazzola, David Sutter, Renato Renner

Uhlmann's theorem states that, for any two quantum states and , there exists an extension of such that the fidelity between and equal…

quant-ph2023★ 17 cited

Quantum Kernel Alignment with Stochastic Gradient Descent

Gian Gentinetta, David Sutter, Christa Zoufal +2

Quantum support vector machines have the potential to achieve a quantum speedup for solving certain machine learning problems. The key challenge for doing so is finding good quantu…

quant-ph2023★ 7 cited

Optimal wire cutting with classical communication

Lukas Brenner, Christophe Piveteau, David Sutter

Circuit knitting is the process of partitioning large quantum circuits into smaller subcircuits such that the result of the original circuits can be deduced by only running the sub…

quant-ph2022★ 107 cited

Circuit knitting with classical communication

Christophe Piveteau, David Sutter

The scarcity of qubits is a major obstacle to the practical usage of quantum computers in the near future. To circumvent this problem, various circuit knitting techniques have been…

quant-ph2022★ 37 cited

Generalised entropy accumulation

Tony Metger, Omar Fawzi, David Sutter +1

Consider a sequential process in which each step outputs a system and updates a side information register . We prove that if this process satisfies a natural "non-signalli…

quant-ph2022★ 59 cited

The complexity of quantum support vector machines

Gian Gentinetta, Arne Thomsen, David Sutter +1

Quantum support vector machines employ quantum circuits to define the kernel function. It has been shown that this approach offers a provable exponential speedup compared to any kn…