ArticleScientific reports2016
Quantum memristors.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Proposal for Trapped-Ion Quantum Memristor.Entropy (Basel, Switzerland) · 2023Article
- Tunable Non-Markovianity for Bosonic Quantum Memristors.Entropy (Basel, Switzerland) · 2023Article
- Bound vortex light in an emulated topological defect in photonic lattices.Light, science & applications · 2022Article
- Quantum Memristors in Frequency-Entangled Optical Fields.Materials (Basel, Switzerland) · 2020Article
- Analog simulator of integro-differential equations with classical memristors.Scientific reports · 2019Article
- Quantum Artificial Life in an IBM Quantum Computer.Scientific reports · 2018Article
- Article
- Protected State Transfer via an Approximate Quantum Adder.Scientific reports · 2017Article
- Basic protocols in quantum reinforcement learning with superconducting circuits.Scientific reports · 2017Article
- Advanced-Retarded Differential Equations in Quantum Photonic Systems.Scientific reports · 2017Article
- Quantum Memristors with Superconducting Circuits.Scientific reports · 2017Article
- Quantum chemistry and charge transport in biomolecules with superconducting circuits.Scientific reports · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Technology based on memristors, resistors with memory whose resistance depends on the history of the crossing charges, has lately enhanced the classical paradigm of computation with neuromorphic architectures. However, in contrast to the known quantized models of passive circuit elements, such as inductors, capacitors or resistors, the design and realization of a quantum memristor is still missing. Here, we introduce the concept of a quantum memristor as a quantum dissipative device, whose decoherence mechanism is controlled by a continuous-measurement feedback scheme, which accounts for the memory. Indeed, we provide numerical simulations showing that memory effects actually persist in the quantum regime. Our quantization method, specifically designed for superconducting circuits, may be extended to other quantum platforms, allowing for memristor-type constructions in different quantum technologies. The proposed quantum memristor is then a building block for neuromorphic quantum computation and quantum simulations of non-Markovian systems.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.