48 citations · 227 across the 16 of their papers we have counts for
17 papers
Bounded-Error Quantum Simulation via Hamiltonian and Lindbladian Learning
Tristan Kraft, Manoj K. Joshi, William Lam +11
Analog Quantum Simulators offer a route to exploring strongly correlated many-body dynamics beyond classical computation, but their predictive power remains limited by the absence…
Going Beyond Gadgets: The Importance of Scalability for Analogue Quantum Simulators
Dylan Harley, Ishaun Datta, Frederik Ravn Klausen +4
Quantum hardware has the potential to efficiently solve computationally difficult problems in physics and chemistry to reap enormous practical rewards. Analogue quantum simulation…
Efficient ground-state energy estimation and certification on early fault-tolerant quantum computers
Guoming Wang, Daniel Stilck França, Gumaro Rendon +1
A major thrust in quantum algorithm development over the past decade has been the search for the quantum algorithms that will deliver practical quantum advantage first. Today's qua…
Lower Bounds on Learning Pauli Channels with Individual Measurements
Omar Fawzi, Aadil Oufkir, Daniel Stilck França
Understanding the noise affecting a quantum device is of fundamental importance for scaling quantum technologies. A particularly important class of noise models is that of Pauli ch…
Quantum Differential Privacy: An Information Theory Perspective
Christoph Hirche, Cambyse Rouzé, Daniel Stilck França
Differential privacy has been an exceptionally successful concept when it comes to providing provable security guarantees for classical computations. More recently, the concept was…
A game of quantum advantage: linking verification and simulation
Daniel Stilck França, Raul Garcia-Patron
We present a formalism that captures the process of proving quantum superiority to skeptics as an interactive game between two agents, supervised by a referee. Bob, is sampling fro…
On contraction coefficients, partial orders and approximation of capacities for quantum channels
Christoph Hirche, Cambyse Rouzé, Daniel Stilck França
The data processing inequality is the most basic requirement for any meaningful measure of information. It essentially states that distinguishability measures between states decrea…
Fast and robust quantum state tomography from few basis measurements
Fernando G. S. L. Brandão, Richard Kueng, Daniel Stilck França
Quantum state tomography is a powerful, but resource-intensive, general solution for numerous quantum information processing tasks. This motivates the design of robust tomography p…
Efficient classical simulation and benchmarking of quantum processes in the Weyl basis
Daniel Stilck França, Sergii Strelchuk, Michał Studziński
One of the crucial steps in building a scalable quantum computer is to identify the noise sources which lead to errors in the process of quantum evolution. Different implementation…
Optimization at the boundary of the tensor network variety
Matthias Christandl, Fulvio Gesmundo, Daniel Stilck Franca +1
Tensor network states form a variational ansatz class widely used, both analytically and numerically, in the study of quantum many-body systems. It is known that if the underlying…
Faster quantum and classical SDP approximations for quadratic binary optimization
Fernando G. S L. Brandão, Richard Kueng, Daniel Stilck França
We give a quantum speedup for solving the canonical semidefinite programming relaxation for binary quadratic optimization. This class of relaxations for combinatorial optimization…
Group transference techniques for the estimation of the decoherence times and capacities of quantum Markov semigroups
Ivan Bardet, Marius Junge, Nicholas LaRacuente +2
Capacities of quantum channels and decoherence times both quantify the extent to which quantum information can withstand degradation by interactions with its environment. However,…
Dimensionality reduction of SDPs through sketching
Andreas Bluhm, Daniel Stilck Franca
We show how to sketch semidefinite programs (SDPs) using positive maps in order to reduce their dimension. More precisely, we use Johnson\hyp{}Lindenstrauss transforms to produce a…
Perfect Sampling for Quantum Gibbs States
Daniel Stilck França
We show how to obtain perfect samples from a quantum Gibbs state on a quantum computer. To do so, we adapt one of the `Coupling from the Past'-algorithms proposed by Propp and Wils…
Sandwiched Rényi Convergence for Quantum Evolutions
Alexander Müller-Hermes, Daniel Stilck Franca
We study the speed of convergence of a primitive quantum time evolution towards its fixed point in the distance of sandwiched Rényi divergences. For each of these distance measures…
Relative Entropy Convergence for Depolarizing Channels
Alexander Müller-Hermes, Daniel Stilck Franca, Michael M. Wolf
We study the convergence of states under continuous-time depolarizing channels with full rank fixed points in terms of the relative entropy. The optimal exponent of an upper bound…
Entropy Production of Doubly Stochastic Quantum Channels
Alexander Müller-Hermes, Daniel Stilck Franca, Michael M. Wolf
We study the entropy increase of quantum systems evolving under primitive, doubly stochastic Markovian noise and thus converging to the maximally mixed state. This entropy increase…