output
20132026
most citedEdge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

654 citations

Showing 2024 · quant-phShow all

30 papers · 2 filters

quant-ph2024★ 1 cited

Efficient estimation of error bounds for quantum multiparametric imaging with constraints

Alexander Mikhalychev, Saif Almazrouei, Svetlana Mikhalycheva +3

Advanced super-resolution imaging techniques require specific approaches for accurate and consistent estimation of the achievable spatial resolution. Fisher information supplied to…

quant-ph2024★ 3 cited

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization

Sebastian Nagies, Kevin T. Geier, Javed Akram +3

Quantum annealing aims at solving optimization problems of practical relevance using quantum-computing hardware. Problems of interest are typically formulated in terms of quadratic…

quant-ph2024★ 10 cited

A nonstabilizerness monotone from stabilizerness asymmetry

Poetri Sonya Tarabunga, Martina Frau, Tobias Haug +2

We introduce a nonstabilizerness monotone which we name basis-minimised stabilizerness asymmetry (BMSA). It is based on the notion of -asymmetry, a measure of how much a certain…

quant-ph2024★ 1 cited

Efficient Eigenstate Preparation in an Integrable Model with Hilbert Space Fragmentation

Roberto Ruiz, Alejandro Sopena, Balázs Pozsgay +1

We consider the preparation of all the eigenstates of spin chains using quantum circuits. It is known that generic eigenstates of free-fermionic spin chains can be prepared with ci…

quant-ph2024

Threetangle in the XY-model class with a non-integrable field background

Jörg Neveling, Andreas Osterloh

The square root of the threetangle is calculated for the transverse XY-model with an integrability-breaking in-plane field component. To be in a regime of quasi-solvability of the…

quant-ph2024★ 2 cited

Expressibility, entangling power and quantum average causal effect for causally indefinite circuits

Pedro C. Azado, Guilherme I. Correr, Alexandre Drinko +3

Parameterized quantum circuits are the core of new technologies such as variational quantum algorithms and quantum machine learning, which makes studying its properties a valuable…