Latest in cs.et

total 1271took 0.13s
Computing on actin bundles networkMar 25 2019Actin filaments are conductive to ionic currents, mechanical and voltage solitons. These travelling localisations can be utilised in making the actin network executing specific computing circuits. The propagation of localisations on a single actin filament ... More
Solving the Steiner Tree Problem in Graphs using Physarum-inspired AlgorithmsMar 21 2019Some biological experiments show that the tubular structures of Physarum polycephalum are often analogous to those of Steiner trees. Therefore, the emerging Physarum-inspired Algorithms (PAs) have the potential of computing Steiner trees. In this paper, ... More
Addressing Temporal Variations in Qubit Quality Metrics for Parameterized Quantum CircuitsMar 20 2019The public access to noisy intermediate-scale quantum (NISQ) computers facilitated by IBM, Rigetti, D-Wave, etc., has propelled the development of quantum applications that may offer quantum supremacy in the future large-scale quantum computers. Parameterized ... More
Fast learning synapses with molecular spin valves via selective magnetic potentiationMar 20 2019Mar 22 2019We studied LSMO/Alq3/AlOx/Co molecular spin valves in view of their use as synapses in neuromorphic computing. In neuromorphic computing, the learning ability is embodied in specific changes of the synaptic weight. In this perspective, the relevant parameter ... More
Fast learning synapses with molecular spin valves via selective magnetic potentiationMar 20 2019We studied LSMO/Alq3/AlOx/Co molecular spin valves in view of their use as synapses in neuromorphic computing. In neuromorphic computing, the learning ability is embodied in specific changes of the synaptic weight. In this perspective, the relevant parameter ... More
Design and Evaluation of Self-Assembled Actin-Based Nano-CommunicationMar 19 2019The tremendous progress in nanotechnology over the last century, makes it possible to engineer tiny nanodevices, which they need a nano-communication network to interact. Two solutions are proposed in literature to create a nano-communication system, ... More
Aircraft Loading Optimization: MemComputing the 5th Airbus ProblemMar 19 2019On the January 22th 2019, Airbus launched a quantum computing challenge to solve a set of problems relevant for the aircraft life cycle (https://www.airbus.com/newsroom/press-releases/en/2019/01/airbus-launches-quantum-computing-challenge-to-transform-the-aircraft-lifecycle.html). ... More
Two-Way Molecular CommunicationsMar 19 2019For nano-scale communications, there must be cooperation and simultaneous communication between nano devices. To this end, in this paper we investigate two-way (a.k.a. bi-directional) molecular communications between nano devices. If different types of ... More
Two-Way Molecular CommunicationsMar 19 2019Mar 22 2019For nano-scale communications, there must be cooperation and simultaneous communication between nano devices. To this end, in this paper we investigate two-way (a.k.a. bi-directional) molecular communications between nano devices. If different types of ... More
A novel quantum grid search algorithm and its applicationMar 18 2019In this paper we present a novel quantum algorithm, namely the quantum grid search algorithm, to solve a special search problem. Suppose $ k $ non-empty buckets are given, such that each bucket contains some marked and some unmarked items. In one trial ... More
OIM: Oscillator-based Ising Machines for Solving Combinatorial Optimisation ProblemsMar 17 2019We present a new way to make Ising machines, i.e., using networks of coupled self-sustaining nonlinear oscillators. Our scheme is theoretically rooted in a novel result that establishes that the phase dynamics of coupled oscillator systems, under the ... More
VeriSFQ - A Semi-formal Verification Framework and Benchmark for Single Flux Quantum TechnologyMar 17 2019In this paper, we propose a semi-formal verification framework for single-flux quantum (SFQ) circuits called VeriSFQ, using the Universal Verification Methodology (UVM) standard. The considered SFQ technology is superconducting digital electronic devices ... More
Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-AssemblyMar 14 2019Tile-based self-assembly systems are capable of universal computation and algorithmically-directed growth. Systems capable of such behavior typically make use of "glue cooperation" in which the glues on at least $2$ sides of a tile must match and bind ... More
Control Electronics For Semiconductor Spin QubitsMar 12 2019Future universal quantum computers solving problems of practical relevance are expected to require at least $10^6$ qubits, which is a massive scale-up from the present numbers of less than 50 qubits operated together. Out of the different types of qubits, ... More
A Quantum Router for the Entangled WebMar 11 2019Qubit transmission protocols are presently point-to-point, and thus restrictive in their functionality. A quantum router is necessary for the quantum Internet to become a reality. We present a quantum router design based on teleportation, as well as mechanisms ... More
Native Chemical Automata and the Thermodynamic Interpretation of Their Experimental Accept/Reject ResponsesMar 09 2019The theory of computation is based on abstract computing automata which can be classified into a three-class hierarchy: Finite Automata (FA), Push-down Automata (PDA) and the Turing Machines (TM). Each class corresponds to grammar/language classes. The ... More
Polar Coding with Chemical Reaction NetworksMar 09 2019In this paper, we propose a new polar coding scheme with molecular programming, which is capable of highly parallel implementation at a nano-scale without a need of electrical power sources. We designed chemical reaction networks (CRN) to employ either ... More
ShiftsReduce: Minimizing Shifts in Racetrack Memory 4.0Mar 08 2019Racetrack memories (RMs) have significantly evolved since their conception in 2008, making them a serious contender in the field of emerging memory technologies. Despite key technological advancements, the access latency and energy consumption of an RM-based ... More
BacSoft: A Tool to Archive Data on BacteriaMar 05 2019Recently, DNA data storage systems have attracted many researchers worldwide. Motivated by the success stories of such systems, in this work we propose a software called BacSoft to clone the data in a bacterial plasmid by using the concept of genetic ... More
Streaming Batch Eigenupdates for Hardware Neuromorphic NetworksMar 05 2019Neuromorphic networks based on nanodevices, such as metal oxide memristors, phase change memories, and flash memory cells, have generated considerable interest for their increased energy efficiency and density in comparison to graphics processing units ... More
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUsMar 04 2019The Winograd or Cook-Toom class of algorithms help to reduce the overall compute complexity of many modern deep convolutional neural networks (CNNs). Although there has been a lot of research done on model and algorithmic optimization of CNN, little attention ... More
On Resistive Memories: One Step Row Readout Technique and Sensing CircuitryMar 04 2019Transistor-based memories are rapidly approaching their maximum density per unit area. Resistive crossbar arrays enable denser memory due to the small size of switching devices. However, due to the resistive nature of these memories, they suffer from ... More
A caloritronics-based Mott neuristorMar 04 2019Machine learning imitates the basic features of biological neural networks to efficiently perform tasks such as pattern recognition. This has been mostly achieved at a software level, and a strong effort is currently being made to mimic neurons and synapses ... More
Clockless Spin-based Look-Up Tables with Wide Read MarginMar 03 2019Mar 13 2019In this paper, we develop a 6-input fracturable non-volatile Clockless LUT (C-LUT) using spin Hall effect (SHE)-based Magnetic Tunnel Junctions (MTJs) and provide a detailed comparison between the SHE-MTJ-based C-LUT and Spin Transfer Torque (STT)-MTJ-based ... More
Clockless Spin-based Look-Up Tables with Wide Read MarginMar 03 2019In this paper, we develop a 6-input fracturable non-volatile Clockless LUT (C-LUT) using spin Hall effect (SHE)-based Magnetic Tunnel Junctions (MTJs) and provide a detailed comparison between the SHE-MTJ-based C-LUT and Spin Transfer Torque (STT)-MTJ-based ... More
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse SignalsMar 03 2019Recently, the promising aspects of compressive sensing have inspired new circuit-level approaches for their efficient realization within the literature. However, most of these recent advances involving novel sampling techniques have been proposed without ... More
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse SignalsMar 03 2019Mar 13 2019Recently, the promising aspects of compressive sensing have inspired new circuit-level approaches for their efficient realization within the literature. However, most of these recent advances involving novel sampling techniques have been proposed without ... More
Application-level Studies of Cellular Neural Network-based Hardware AcceleratorsFeb 28 2019As cost and performance benefits associated with Moore's Law scaling slow, researchers are studying alternative architectures (e.g., based on analog and/or spiking circuits) and/or computational models (e.g., convolutional and recurrent neural networks) ... More
Diffusive Molecular Communications with Reactive Molecules: Channel Modeling and Signal DesignFeb 27 2019This paper focuses on molecular communication (MC) systems using two types of signaling molecules which may participate in a reversible bimolecular reaction in the channel. The motivation for studying these MC systems is that they can realize the concept ... More
Composable computation in discrete chemical reaction networksFeb 26 2019We study the composability of discrete chemical reaction networks (CRNs) that stably compute (i.e., with probability 0 of error) integer-valued functions $f:\mathbb{N}^d \to \mathbb{N}$. We consider output-oblivious CRNs in which the output species is ... More
Ground-state energy estimation of the water molecule on a trapped ion quantum computerFeb 26 2019Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers. Examples include calculating molecular and nuclear structure, simulating strongly-interacting ... More
Ground-state energy estimation of the water molecule on a trapped ion quantum computerFeb 26 2019Mar 07 2019Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers. Examples include calculating molecular and nuclear structure, simulating strongly-interacting ... More
Spiking Neural Network based Region Proposal Networks for Neuromorphic Vision SensorsFeb 26 2019This paper presents a three layer spiking neural network based region proposal network operating on data generated by neuromorphic vision sensors. The proposed architecture consists of refractory, convolution and clustering layers designed with bio-realistic ... More
Ultra-low Energy charge trap flash based synapse enabled by parasitic leakage mitigationFeb 25 2019Feb 26 2019Brain-inspired computation promises complex cognitive tasks at biological energy efficiencies. The brain contains $10^4$ synapses per neuron. Hence, ultra-low energy, high-density synapses are needed for spiking neural networks (SNN). In this paper, we ... More
Really Small Shoe Boxes - On Realistic Quantum Resource EstimationFeb 21 2019Reliable resource estimation and benchmarking of quantum algorithms is a critical component of the development cycle of viable quantum applications for quantum computers of all sizes. Determining critical resource bottlenecks in algorithms, especially ... More
SMART: Secure Magnetoelectric AntifeRromagnet-Based Tamper-Proof Non-Volatile MemoryFeb 20 2019Data theft and tampering are serious concerns as attackers have aggressively begun to exploit weaknesses in current memory systems to advance their nefarious schemes. The storage industry is moving toward emerging non-volatile memories (NVM), including ... More
SPINBIS: Spintronics based Bayesian Inference System with Stochastic ComputingFeb 19 2019Bayesian inference is an effective approach for solving statistical learning problems, especially with uncertainty and incompleteness. However, Bayesian inference is a computing-intensive task whose efficiency is physically limited by the bottlenecks ... More
A Reed Muller-based approach for optimization of general binary quantum multiplexersFeb 17 2019Previous work has provided methods for decomposing unitary matrices to series of quantum multiplexers, but the multiplexers created in this way are highly non-minimal. This paper presents a new approach for optimizing quantum multiplexers with arbitrary ... More
Robustness and Games Against Nature in Molecular ProgrammingFeb 16 2019Matter, especially DNA, is now programmed to carry out useful processes at the nanoscale. As these programs and processes become more complex and their envisioned safety-critical applications approach deployment, it is essential to develop methods for ... More
An Energy-efficient Time-domain Analog VLSI Neural Network Processor Based on a Pulse-width Modulation ApproachFeb 16 2019A time-domain analog-weighted-sum calculation model based on a pulse-width modulation (PWM) approach is proposed. The proposed calculation model can be applied to any types of network structure including multi-layer feedforward networks. We also propose ... More
An ultra-low-power sigma-delta neuron circuitFeb 16 2019Feb 20 2019Neural processing systems typically represent data using leaky integrate and fire (LIF) neuron models that generate spikes or pulse trains at a rate proportional to their input amplitudes. This mechanism requires high firing rates when encoding time-varying ... More
Synthesizing Number Generators for Stochastic Computing using Mixed Integer ProgrammingFeb 15 2019Feb 26 2019Stochastic computing (SC) is a high density, low-power computation technique which encodes values as unary bitstreams instead of binary-encoded (BE) values. Practical SC implementations require deterministic or pseudo-random number sequences which are ... More
Synthesizing Number Generators for Stochastic Computing using Mixed Integer ProgrammingFeb 15 2019Stochastic computing (SC) is a high density, low-power computation technique which encodes values as unary bitstreams instead of binary-encoded (BE) values. Practical SC implementations require deterministic or pseudo-random number sequences which are ... More
Applying Multi-qubit Correction to Frustrated Cluster Loops on an Adiabatic Quantum ComputerFeb 15 2019The class of problems represented by frustrated cluster loops, FCL, is a robust set of problems that spans a wide range of computational difficulty and that are easy to determine what their solutions are. Here, we use frustrated cluster loops to test ... More
Coupled nonlinear delay systems as deep convolutional neural networksFeb 14 2019Mar 01 2019Neural networks are currently transforming the field of computer algorithms. With increasingly demanding applications it becomes clear that their execution on current computing substrates is severely limited. Addressing this bottleneck, reservoir computing ... More
Coupled nonlinear delay systems as deep convolutional neural networksFeb 14 2019Feb 18 2019Neural networks are currently transforming the field of computer algorithms. With increasingly demanding applications it becomes clear that their execution on current computing substrates is severely limited. Addressing this bottleneck, reservoir computing ... More
Some Interesting Features of Memristor CNNFeb 14 2019In this paper, we introduce some interesting features of a memristor CNN (Cellular Neural Network). We first show that there is the similarity between the dynamics of memristors and neurons. That is, some kind of flux-controlled memristors can not respond ... More
Assessing Solution Quality of 3SAT on a Quantum Annealing PlatformFeb 13 2019When solving propositional logic satisfiability (specifically 3SAT) using quantum annealing, we analyze the effect the difficulty of different instances of the problem has on the quality of the answer returned by the quantum annealer. A high-quality response ... More
A Case for Superconducting AcceleratorsFeb 12 2019As the scaling of conventional CMOS-based technologies slows down, there is growing interest in alternative technologies that can improve performance or energy-efficiency. Superconducting circuits based on Josephson Junction (JJ) is an emerging technology ... More
A Case for Superconducting AcceleratorsFeb 12 2019Feb 14 2019As the scaling of conventional CMOS-based technologies slows down, there is growing interest in alternative technologies that can improve performance or energy-efficiency. Superconducting circuits based on Josephson Junction (JJ) is an emerging technology ... More
On Conflict Free DNA CodesFeb 12 2019Mar 01 2019DNA storage has emerged as an important area of research. The reliability of DNA storage system depends on designing the DNA strings (called DNA codes) that are sufficiently dissimilar. In this work, we introduce DNA codes that satisfy a special constraint. ... More
On Conflict Free DNA CodesFeb 12 2019DNA storage has emerged as an important area of research. The reliability of DNA storage system depends on designing the DNA strings (called DNA codes) that are sufficiently dissimilar. In this work, we introduce DNA codes that satisfy a special constraint. ... More
Graver Bases via Quantum Annealing with Application to Non-Linear Integer ProgramsFeb 12 2019We propose a novel hybrid quantum-classical approach to calculate Graver bases, which have the potential to solve a variety of hard linear and non-linear integer programs, as they form a test set (optimality certificate) with very appealing properties. ... More
Reliable quantum circuits have defectsFeb 11 2019State of the art quantum computing architectures are founded on the decision to use scalable but faulty quantum hardware in conjunction with an efficient error correcting code capable of tolerating high error rates. The promised effect of this decision ... More
Low Barrier Magnet Design for Efficient Binary Stochastic Neurons: Perpendicular vs In-planeFeb 10 2019Binary stochastic neurons (BSN's) form an integral part of many machine learning algorithms, motivating the development of hardware accelerators for this complex function. It has been recognized that hardware BSN's can be implemented using low barrier ... More
Integrated magnonic half-adderFeb 07 2019Spin waves and their quanta magnons open up a promising branch of high-speed and low-power information processing. Several important milestones were achieved recently in the realization of separate magnonic data processing units including logic gates, ... More
In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural NetworksFeb 07 2019RRAM-based in-Memory Computing is an exciting road for implementing highly energy efficient neural networks. This vision is however challenged by RRAM variability, as the efficient implementation of in-memory computing does not allow error correction. ... More
SurfBraid: A concept tool for preparing and resource estimating quantum circuits protected by the surface codeFeb 06 2019The first generations of quantum computers will execute fault-tolerant quantum circuits, and it is very likely that such circuits will use surface quantum error correcting codes. To the best of our knowledge, no complete design automation tool for such ... More
Function Maximization with Dynamic Quantum SearchFeb 01 2019Finding the maximum value of a function in a dynamic model plays an important role in many application settings, including discrete optimization in the presence of hard constraints. We present an iterative quantum algorithm for finding the maximum value ... More
Signal reconstruction in diffusion-based molecular communicationJan 31 2019Feb 01 2019Molecular Communication (MC) is an important nanoscale communication paradigm, which is employed for the interconnection of the nanomachines (NMs) to form nanonetworks. A transmitter NM (TN) sends the information symbols by emitting molecules into the ... More
A QUBO Model for Gaussian Process Variance ReductionJan 30 2019Gaussian Processes are used in many applications to model spatial phenomena. Within this context, a key issue is to decide the set of locations where to take measurements so as to obtain a better approximation of the underlying function. Current state ... More
Using Floating Gate Memory to Train Ideal Accuracy Neural NetworksJan 29 2019Floating gate SONOS (Silicon-Oxygen-Nitrogen-Oxygen-Silicon) transistors can be used to train neural networks to ideal accuracies that match those of floating point digital weights on the MNIST dataset when using multiple devices to represent a weight ... More
Using Floating Gate Memory to Train Ideal Accuracy Neural NetworksJan 29 2019Feb 27 2019Floating gate SONOS (Silicon-Oxygen-Nitrogen-Oxygen-Silicon) transistors can be used to train neural networks to ideal accuracies that match those of floating point digital weights on the MNIST dataset when using multiple devices to represent a weight ... More
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning InferenceJan 29 2019Jan 30 2019Memristor crossbars are circuits capable of performing analog matrix-vector multiplications, overcoming the fundamental energy efficiency limitations of digital logic. They have been shown to be effective in special-purpose accelerators for a limited ... More
ReQWIRE: Reasoning about Reversible Quantum CircuitsJan 29 2019Common quantum algorithms make heavy use of ancillae: scratch qubits that are initialized at some state and later returned to that state and discarded. Existing quantum circuit languages let programmers assert that a qubit has been returned to the |0> ... More
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator ArchitectureJan 28 2019Neural Network (NN) accelerators with emerging ReRAM (resistive random access memory) technologies have been investigated as one of the promising solutions to address the \textit{memory wall} challenge, due to the unique capability of \textit{processing-in-memory} ... More
Physical Foundations of Landauer's PrincipleJan 26 2019We review the physical foundations of Landauer's Principle, which relates the loss of information from a computational process to an increase in thermodynamic entropy. Despite the long history of the Principle, its fundamental rationale and proper interpretation ... More
Hybrid 2D/3D photonic integration for non-planar circuit topologiesJan 24 2019Complex photonic integrated circuits (PIC) may have strongly non-planar topologies that require waveguide crossings (WGX) when realized in single-layer integration platforms. The number of WGX increases rapidly with the complexity of the circuit, in particular ... More
Physical reservoir computing built by spintronic devices for temporal information processingJan 23 2019Spintronic nanodevices have ultrafast nonlinear dynamic and recurrence behaviors on a nanosecond scale that promises to enable spintronic reservoir computing (RC) system. Here two physical RC systems based on a single magnetic skyrmion memristor (MSM) ... More
Embedding quadratization gadgets on Chimera and Pegasus graphsJan 23 2019We group all known quadratizations of cubic and quartic terms in binary optimization problems into six and seven unique graphs respectively. We then perform a minor embedding of these graphs onto the well-known Chimera graph, and the brand new Pegasus ... More
Pegasus: The second connectivity graph for large-scale quantum annealing hardwareJan 22 2019Pegasus is a graph which offers substantially increased connectivity between the qubits of quantum annealing hardware compared to the graph Chimera. It is the first fundamental change in the connectivity graph of quantum annealers built by D-Wave since ... More
Approximation Techniques for Stochastic Analysis of Biological SystemsJan 22 2019There has been an increasing demand for formal methods in the design process of safety-critical synthetic genetic circuits. Probabilistic model checking techniques have demonstrated significant potential in analyzing the intrinsic probabilistic behaviors ... More
Transmitter and Receiver Architectures for Molecular Communications: A Survey on Physical Design with Modulation, Coding and Detection TechniquesJan 16 2019Inspired by Nature, molecular communications (MC), i.e., use of molecules to encode, transmit and receive information, stands as the most promising communication paradigm to realize nanonetworks. Even though there has been extensive theoretical research ... More
Spectrum Sensing in Molecular Communications with Ligand ReceptorsJan 16 2019Molecular Communications (MC) is a bio-inspired communication technique that uses molecules as a means of information transfer among nanoscale devices. As discrete molecules, i.e., ligands, are the carriers of information in MC, the distinct ligand types ... More
The pH sensitivity of solvated tectomer electronicsJan 16 2019Colloidal liquid robotics with embodied intelligence solutions mimicking biologic systems, in response to the future increasingly distributed sensing and the resulting data to be managed, has been proposed as the next cybernetic paradigm. Solutions for ... More
Training neural nets to learn reactive potential energy surfaces using interactive quantum chemistry in virtual realityJan 16 2019Jan 22 2019Whilst the primary bottleneck to a number of computational workflows was not so long ago limited by processing power, the rise of machine learning technologies has resulted in a paradigm shift which places increasing value on issues related to data curation ... More
Fully Memristive Spiking-Neuron Learning Framework and its Applications on Pattern Recognition and Edge DetectionJan 16 2019Jan 24 2019Fully memristive spiking-neuron learning framework, which uses drift and diffusion memristor models as axon and dendrite respectively, becomes a hot topic recently with the development of memristor devices. Normally, some other devices like resistor or ... More
On complexity of branching droplets in electrical fieldJan 15 2019Decanol droplets in a thin layer of sodium decanoate with sodium chloride exhibit bifurcation branching growth due to interplay between osmotic pressure, diffusion and surface tension. We aimed to evaluate if morphology of the branching droplets changes ... More
Thermal switch of oscillation frequency in Belousov-Zhabotinsky liquid marblesJan 13 2019External control of oscillation dynamics in the Belousov-Zhabotinsky reaction is important for many applications including encoding computing schemes. When considering the BZ reaction there are limited studies dealing with thermal cycling, particularly ... More
Low-Power Neuromorphic Hardware for Signal Processing ApplicationsJan 11 2019Machine learning has emerged as the dominant tool for implementing complex cognitive tasks that require supervised, unsupervised, and reinforcement learning. While the resulting machines have demonstrated in some cases even super-human performance, their ... More
SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief NetworksJan 08 2019In this paper, a spintronic neuromorphic reconfigurable Array (SNRA) is developed to fuse together power-efficient probabilistic and in-field programmable deterministic computing during both training and evaluation phases of restricted Boltzmann machines ... More
Using ZDDs in the mapping of quantum circuitsJan 08 2019In quantum compilation, one step translates a technology-independent quantum circuit into a technology-dependent quantum circuit for a targeted device. Besides mapping quantum gates into the supported gate set, it is necessary to map pseudo qubits in ... More
A Survey of Biological Building Blocks for Synthetic Molecular Communication SystemsJan 08 2019The design and implementation of synthetic molecular communication systems at nano- and microscale are very challenging. This is particularly true for synthetic MCSs employing biological components as transmitters and receivers or as interfaces with natural ... More
Dilution with Digital Microfluidic Biochips: How Unbalanced Splits Corrupt Target-ConcentrationJan 02 2019Sample preparation is an indispensable component of almost all biochemical protocols, and it involves, among others, making dilutions and mixtures of fluids in certain ratios. Recent microfluidic technologies offer suitable platforms for automating dilutions ... More
A Hardware Friendly Unsupervised Memristive Neural Network with Weight Sharing MechanismJan 01 2019Memristive neural networks (MNNs), which use memristors as neurons or synapses, have become a hot research topic recently. However, most memristors are not compatible with mainstream integrated circuit technology and their stabilities in large-scale are ... More
Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful ErasureDec 28 2018Landauer's Principle states that the energy cost of information processing must exceed the product of the temperature and the change in Shannon entropy of the information-bearing degrees of freedom. However, this lower bound is achievable only for quasistatic, ... More
Ultrahigh Speed Artificial Neuron Compatible with Standard Foundry Processes and SFQ CellsDec 26 2018Neuromorphic computing methods and artificial neurons can enhance the possibilities of solving complex problems more efficiently. We propose a neuron circuit formed by a double-junction SQUID interfered with a resistor (threshold loop), a resistor-inductor ... More
An Optical Frontend for a Convolutional Neural NetworkDec 23 2018Jan 14 2019The parallelism of optics and the miniaturization of optical components using nanophotonic structures, such as metasurfaces present a compelling alternative to electronic implementations of convolutional neural networks. The lack of a low-power optical ... More
Superconducting Neuromorphic Computing Using Quantum Phase-Slip JunctionsDec 13 2018Superconducting circuits based on quantum phase-slip junctions (QPSJs) can conduct quantized charge pulses, which naturally resemble action potentials generated by biological neurons. A corresponding synaptic circuit, which works as a weighted connection ... More
Channel Modeling for Diffusive Molecular Communication - A Tutorial ReviewDec 13 2018Molecular communication (MC) is a new communication engineering paradigm where molecules are employed as information carriers. MC systems are expected to enable new revolutionary applications such as sensing of target substances in biotechnology, smart ... More
Towards Experimental P-systems using multivesicular liposomesDec 13 2018P-systems are abstract computational models inspired by the phospholipid bilayer membranes generated by biological cells. Illustrated here is a mechanism by which recursive liposome structures (multivesicular liposomes) may be experimentally produced ... More
Real-time Closed Loop Neural Decoding on a Neuromorphic ChipDec 10 2018This paper presents for the first time a real-time closed loop neuromorphic decoder chip-driven intra-cortical brain machine interface (iBMI) in a non-human primate (NHP) based experimental setup. Decoded results show trial success rates and mean times ... More
Memristors for the Curious OutsidersDec 08 2018We present both an overview and a perspective of recent experimental advances and proposed new approaches to performing computation using memristors. A memristor is a 2-terminal passive component with a dynamic resistance depending on an internal parameter. ... More
Composable Probabilistic Inference Networks Using MRAM-based Stochastic NeuronsNov 28 2018Magnetoresistive random access memory (MRAM) technologies with thermally unstable nanomagnets are leveraged to develop an intrinsic stochastic neuron as a building block for restricted Boltzmann machines (RBMs) to form deep belief networks (DBNs). The ... More
Computing with Chemical Reaction Networks: A TutorialNov 26 2018Chemical reaction networks (CRNs) model the behavior of chemical reactions in well-mixed solutions and they can be designed to perform computations. In this tutorial we give an overview of various computational models for CRNs. Moreover, we discuss a ... More
Artificial Retina Using A Hybrid Neural Network With Spatial Transform CapabilityNov 26 2018This paper covers the design and programming of a hybrid (digital/analog) neural network to function as an artificial retina with the ability to perform a spatial discrete cosine transform. We describe the structure of the circuit, which uses an analog ... More
The dry history of liquid computersNov 25 2018A liquid can be used to represent signals, actuate mechanical computing devices and to modify signals via chemical reactions. We give a brief overview of liquid based computing devices developed over hundreds of years. These include hydraulic calculators, ... More
On-chip learning for domain wall synapse based Fully Connected Neural NetworkNov 25 2018Spintronic devices are considered as promising candidates in implementing neuromorphic systems or hardware neural networks, which are expected to perform better than other existing computing systems for certain data classification and regression tasks. ... More
Hyperdimensional Computing NanosystemNov 23 2018One viable solution for continuous reduction in energy-per-operation is to rethink functionality to cope with uncertainty by adopting computational approaches that are inherently robust to uncertainty. It requires a novel look at data representations, ... More
Benchmarking Inverse Rashba-Edelstein Magnetoelectric Devices for Neuromorphic ComputingNov 21 2018We propose a new design for a cellular neural network with spintronic neurons and CMOS-based synapses. Harnessing the magnetoelectric and inverse Rashba-Edelstein effects allows natural emulation of the behavior of an ideal cellular network. This combination ... More