Quantum Information and Quantum Computing
Despite a few decades since the first ideas of quantum computing by Richard Feynman and Paul Benioff it has only recently attracted the attention of wider community including large technology companies such as Google, IBM, Microsoft, Amazon, and others. This resulted in an important milestone in the field such as the first demonstrations of quantum supremacy. Superconducting, photonic, solid-state, and trapped neutral atom and charged ion platforms are considered among the most promising approaches. However, there has been no clear winner so far since each approach has come with its own severe deficiency. It is a grand scientific and engineering problem to manufacture a large-scale quantum computer that can reliably process information to solve practical problems relevant to the real needs of the society.
Research that reports new advances that meaningfully contribute to the state-of-the-art quantum computing and current body of knowledge on quantum information is encouraged. This may include research on scalable manufacturing and quantum control of qubit systems, hybrid classical and quantum computing approaches, algorithms for noisy intermediate scale quantum computers, demonstrations of quantum advantage, novel materials, technology milestones in quantum networks and infrastructures, quantum fault-tolerance and noise, miniaturization, quantum imaging and sensing, quantum statistical learning, quantum information processes in biological systems, and foundations of quantum mechanics.
Another topic encouraged is the training of the quantum workforce for the highly demanding quantum information and quantum computing technologies.
Dr. Durdu Guney
Dr. David Petrosyan
- quantum supremacy
- superconducting quantum computing
- photonic quantum computing
- solid-state quantum computing
- trapped-ion quantum computing
- Rydberg-atom quantum computing and simulations
- scalable manufacturing of qubit systems
- scalable quantum control
- hybrid classical and quantum computing
- noisy intermediate scale quantum computers
- quantum communications
- quantum machine learning
- quantum imaging and sensing
- quantum biology
- fault-tolerant quantum computing
- quantum education
|Journal Name||Impact Factor||CiteScore||Launched Year||First Decision (median)||APC|
|2.838||3.7||2011||17.4 Days||2300 CHF||Submit|
|2.690||3.7||2012||16.6 Days||2000 CHF||Submit|
|2.738||4.4||1999||18.7 Days||1800 CHF||Submit|
|2.592||2.9||2013||17.8 Days||1800 CHF||Submit|
|2.940||4.3||2009||13.8 Days||1800 CHF||Submit|
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