output
20142026
most citedLayerwise learning for quantum neural networks

341 citations

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Showing 2023 · quant-phShow all

4 papers · 2 filters

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…