Neuromorphic, Digital and Quantum Computation with Memory Circuit Elements

Abstract

Memory effects are ubiquitous in nature and the class of memory circuit elements - which includes memristors, memcapacitors and meminductors - shows great potential to understand and simulate the associated fundamental physical processes. Here, we show that such elements can also be used in electronic schemes mimicking biologically-inspired computer architectures, performing digital logic and arithmetic operations, and can expand the capabilities of certain quantum computation schemes. In particular, we will discuss few examples where the concept of memory elements is relevant to the realization of associative memory in neuronal circuits, spike-timing-dependent plasticity of synapses, digital and field-programmable quantum computing.

References in corpus (6)

• Memory effects in complex materials and nanoscale systems
• Emulation of floating memcapacitors and meminductors using current conveyors
• Bistable non-volatile elastic membrane memcapacitor exhibiting chaotic behavior
• Resonant excitations of single and two-qubit systems coupled to a tank circuit
• Tunable backaction of a dc SQUID on an integrated micromechanical resonator
• Superconducting qubits

Cited by in corpus (36)

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• On the physical properties of memristive, memcapacitive, and meminductive systems
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• Dynamic Computing Random Access Memory
• Metal-insulator transition and electrically-driven memristive characteristics of SmNiO3 thin films
• Memory models of adaptive behaviour
• Generalized Floquet theory: application to dynamical systems with memory and Bloch's theorem for nonlocal potentials
• Memcapacitive neural networks
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• Solitonic Josephson-based meminductive systems
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• Bioinspired Associative Memory System Based on Enzymatic Cascades
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• First order devices, hybrid memristors, and the frontiers of nonlinear circuit theory
• Analog-to-Digital and Digital-to-Analog Conversion with Memristive Devices
• An Enhanced Lumped Element Electrical Model of a Double Barrier Memristive Device
• Memcomputing with membrane memcapacitive systems
• Memristive properties of single-molecule magnets
• Analog simulator of integro-differential equations with classical memristors
• Quantum Memristors in Frequency-Entangled Optical Fields
• Quantized Three-Ion-Channel Neuron Model for Neural Action Potentials
• Quantized Single-Ion-Channel Hodgkin-Huxley Model for Quantum Neurons
• Atomic scale nanoelectronics for quantum neuromorphic devices: comparing different materials
• Can bio-inspired information processing steps be realized as synthetic biochemical processes?
• Tunable Non-Markovianity for Bosonic Quantum Memristors
• Device Variability Analysis for Memristive Material Implication
• Memristor nanodevice for unconventional computing:review and applications
• Switching Synchronization in One-Dimensional Memristive Networks
• TiO${}_2$-based Memristors and ReRAM: Materials, Mechanisms and Models (a Review)
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