The explosion of available data and the omnipresence of computers in every aspect of our daily lives has resulted in a torrent of innovations in the digital domain. As the number of application scenarios increases, so do the requirements that are placed on both software and hardware alike. Yet, conventional computing technologies are gradually reaching their limits in terms of performance, speed, energy efficiency, and miniaturization. This dilemma could be overcome by quantum and brain-inspired computing, which are two promising next-generation computing paradigms. Both are built on engineered, advanced nanomaterials and devices exploiting emergent novel properties enabled by nano-scale and quantum technology. These devices are the building blocks for future highly-energy-efficient and performant integrated computing systems.
The special issue aims to provide an overview of the advancements in nanomaterials synthesis, properties, and engineering for the realization of devices that can act as key elements for brain-inspired and quantum computing.
The special issue will publish articles based on experiments or computational modelling of novel physical properties of materials that can be used for computing. The scope ranges from synthesis, characterization and processing of materials, structures, and devices to the numerical methodology of materials simulations.
Any contributions belonging to, but not limited to, the following topics are welcome:
1. Brain inspired computing with devices based on nanoparticles, 2D materials, memristors, phase-change materials, electrochemical and ionic exchange structures, spintronic materials, ferroelectric and multiferroic materials, and other types of random-access memory devices.
2. Quantum computing with solid-state qubit technologies that are limited by material properties or quantum effects at the nanoscale. Quantum-dot qubits, colour centers in diamond and other wide-gap materials, and topological qubit devices are especially welcome.
Materials aspects that can be addressed include, but are not limited to, the following topics:
- Carrier dynamics, lattice effects, structural and electronic phase transitions, and superconductivity.
- Electronic structure, excited states, electronic and ionic transport, control of quantum effects at the nanoscale.
- Surfaces, interface redox and strain engineering, electrochemical effects.
Research articles will be assessed based on originality and scientific merit. The authors should motivate their study by first mentioning the state-of-the-art in their research area and then clearly state the objective and novelty of their work.
The explosion of available data and the omnipresence of computers in every aspect of our daily lives has resulted in a torrent of innovations in the digital domain. As the number of application scenarios increases, so do the requirements that are placed on both software and hardware alike. Yet, conventional computing technologies are gradually reaching their limits in terms of performance, speed, energy efficiency, and miniaturization. This dilemma could be overcome by quantum and brain-inspired computing, which are two promising next-generation computing paradigms. Both are built on engineered, advanced nanomaterials and devices exploiting emergent novel properties enabled by nano-scale and quantum technology. These devices are the building blocks for future highly-energy-efficient and performant integrated computing systems.
The special issue aims to provide an overview of the advancements in nanomaterials synthesis, properties, and engineering for the realization of devices that can act as key elements for brain-inspired and quantum computing.
The special issue will publish articles based on experiments or computational modelling of novel physical properties of materials that can be used for computing. The scope ranges from synthesis, characterization and processing of materials, structures, and devices to the numerical methodology of materials simulations.
Any contributions belonging to, but not limited to, the following topics are welcome:
1. Brain inspired computing with devices based on nanoparticles, 2D materials, memristors, phase-change materials, electrochemical and ionic exchange structures, spintronic materials, ferroelectric and multiferroic materials, and other types of random-access memory devices.
2. Quantum computing with solid-state qubit technologies that are limited by material properties or quantum effects at the nanoscale. Quantum-dot qubits, colour centers in diamond and other wide-gap materials, and topological qubit devices are especially welcome.
Materials aspects that can be addressed include, but are not limited to, the following topics:
- Carrier dynamics, lattice effects, structural and electronic phase transitions, and superconductivity.
- Electronic structure, excited states, electronic and ionic transport, control of quantum effects at the nanoscale.
- Surfaces, interface redox and strain engineering, electrochemical effects.
Research articles will be assessed based on originality and scientific merit. The authors should motivate their study by first mentioning the state-of-the-art in their research area and then clearly state the objective and novelty of their work.
