output
20142026
most citedLayerwise learning for quantum neural networks

341 citations

researchers with a paper here
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Showing 2023Show all

6 papers · 1 filter

cs.RO2023★ 20 cited

On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer

Elie Aljalbout, Felix Frank, Maximilian Karl +1

We study the choice of action space in robot manipulation learning and sim-to-real transfer. We define metrics that assess the performance, and examine the emerging properties in t…

astro-ph.SR2023★ 9 cited

Scalable stellar evolution forecasting: Deep learning emulation vs. hierarchical nearest neighbor interpolation

K. Maltsev, F. R. N. Schneider, F. K. Roepke +5

Many astrophysical applications require efficient yet reliable forecasts of stellar evolution tracks. One example is population synthesis, which generates forward predictions of mo…

quant-ph2023★ 48 cited

Initial state preparation for quantum chemistry on quantum computers

Stepan Fomichev, Kasra Hejazi, Modjtaba Shokrian Zini +8

Quantum algorithms for ground-state energy estimation of chemical systems require a high-quality initial state. However, initial state preparation is commonly either neglected enti…

quant-ph2023★ 7 cited

A quantum algorithm for solving 0-1 Knapsack problems

Sören Wilkening, Andreea-Iulia Lefterovici, Lennart Binkowski +3

Here we present two novel contributions for achieving quantum advantage in solving difficult optimisation problems, both in theory and foreseeable practice. (1) We introduce the "Q…

quant-ph2023★ 20 cited

Quantum simulation of battery materials using ionic pseudopotentials

Modjtaba Shokrian Zini, Alain Delgado, Roberto dos Reis +4

Ionic pseudopotentials are widely used in classical simulations of materials to model the effective potential due to the nucleus and the core electrons. Modeling fewer electrons ex…

quant-ph2023★ 28 cited

Quantum Computing Techniques for Multi-Knapsack Problems

Abhishek Awasthi, Francesco Bär, Joseph Doetsch +16

Optimization problems are ubiquitous in various industrial settings, and multi-knapsack optimization is one recurrent task faced daily by several industries. The advent of quantum…