31 citations · 87 across the 4 of their papers we have counts for
4 papers · 1 filter
Learning quantum processes without input control
Marco Fanizza, Yihui Quek, Matteo Rosati
We introduce a general statistical learning theory for processes that take as input a classical random variable and output a quantum state. Our setting is motivated by the practica…
Exponentially tighter bounds on limitations of quantum error mitigation
Yihui Quek, Daniel Stilck França, Sumeet Khatri +2
Quantum error mitigation has been proposed as a means to combat unwanted and unavoidable errors in near-term quantum computing without the heavy resource overheads required by faul…
A single -gate makes distribution learning hard
Marcel Hinsche, Marios Ioannou, Alexander Nietner +6
The task of learning a probability distribution from samples is ubiquitous across the natural sciences. The output distributions of local quantum circuits form a particularly inter…
Multivariate trace estimation in constant quantum depth
Yihui Quek, Eneet Kaur, Mark M. Wilde
There is a folkloric belief that a depth- quantum circuit is needed to estimate the trace of the product of density matrices (i.e., a multivariate trace), a subroutine cr…