Single-electronics - how it works. How it's used. How it's simulated

Wasshuber, Christoph

doi:10.1109/isqed.2002.996795

Cited by 16 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed process control unit is verified by simulation using SIMON [11]. The complete circuit of Single Electron TLG based Process control circuit is given in Fig.…”

Section: Resultsmentioning

confidence: 99%

Application of Single Electron Threshold Logic based Device: - A case study

Singh¹

2014

IJAREEIE

View full text Add to dashboard Cite

ABSTRACT:The very high density of integration and ultra-low power consumption characteristics has given the Single electron devices promising capabilities to replace CMOS transistors in some applications. There are also alternative logic design styles, such as threshold logic, that may be more suitable and also more powerful for novel technologies such as single electron technology. In this paper, we investigate single electron threshold logic gate implementation of some logic circuits, in which the Boolean logic values are encoded as absence or presence of one electron. We present a control unit for a chemical process. Computer based realization of the control unit is performed using SIMON simulation tool. The performance of the simulated model is studied with some sample data and found satisfactory thereby establishing the feasibility of using single electron threshold logic based devices for high future high density low power VLSI/ULSI circuits.

show abstract

“…The proposed process control unit is verified by simulation using SIMON [11]. The complete circuit of Single Electron TLG based Process control circuit is given in Fig.…”

Section: Resultsmentioning

confidence: 99%

Application of Single Electron Threshold Logic based Device: - A case study

Singh¹

2014

IJAREEIE

View full text Add to dashboard Cite

show abstract

“…Since the dynamics of our NP-networks is governed by stochastic processes (electrons on particles can tunnel through junctions with a certain probability), there are basically two simulation methods to our disposal: Monte-Carlo Methods and the Master Equation Method [53,54]. Since the number of particles is large, this rules out the second approach, hence the Monte-Carlo Method is the only suitable candidate.…”

Section: Simulations Of Np-networkmentioning

confidence: 99%

“…We have validated our tool for designed systems with small numbers of particles that are experimentally known from literature, and that have also been simulated before [54]. We have also used our tool to examine other structures of NP-networks.…”

Section: Simulations Of Np-networkmentioning

confidence: 99%

Evolution in Nanomaterio: The NASCENCE Project

Broersma

2017

Inspired by Nature

View full text Add to dashboard Cite

This chapter describes some of the work that was carried out by members of the NASCENCE project, an FP7 project sponsored by the European Community. Apart from some historical notes and background material, the chapter explains how nanoscale material systems have been configured to perform computational tasks by finding appropriate configuration signals using artificial evolution. Most of this exposition is centred around the work that has been carried out at the MESA+ Institute for Nanotechnology at the University of Twente using disordered networks of nanoparticles. The interested reader will also find many pointers to references that contain more details on work that has been carried out by other members of the NASCENCE consortium on composite materials based on single-walled carbon nanotubes.

show abstract

“…The extremely low temperatures (1 K) required for proper operation of a solid state QC architecture render standard CMOS transistors useless. Fortunately, a good deal of research has been conducted in modeling and building single-electron transistors (SETs) [Kim et al 2001;Takahashi et al 2000;Wasshuber 2002], which actually have more favorable characteristics at lower temperatures, making SETs an ideal choice for the drive circuitry and control logic. Figure 14 shows the global control mechanism that generates the six distinct pulse sequences, one each for the S 1 -, S 2 -, S 3 -, S 4 -, A 1 -and A 2 -gates.…”

Section: Controlmentioning

confidence: 99%

Datapath and control for quantum wires

Isailovic

Whitney

Patel

et al. 2004

ACM Trans. Archit. Code Optim.

View full text Add to dashboard Cite

As quantum computing moves closer to reality the need for basic architectural studies becomes more pressing. Quantum wires, which transport quantum data, will be a fundamental component in all anticipated silicon quantum architectures. Since they cannot consist of a stream of electrons, as in the classical case, quantum wires must fundamentally be designed differently. In this paper, we present two quantum wire designs: a swap wire, based on swapping of adjacent qubits, and a teleportation wire, based on the quantum teleportation primitive. We characterize the latency and bandwidth of these two alternatives in a device-independent way. Furthermore, unlike classical wires, quantum wires need control signals in order to operate. We explore the complexity of the control mechanisms and the fundamental tension between the scale of quantum effects and the scale of the classical logic needed to control them. This "pitch-matching" problem imposes constraints on minimum wire lengths and wire intersections, leading us to use a SIMD approach for the control mechanisms. We ultimately show that qubit decoherence imposes a basic limit on the maximum communication distance of the swapping wire, while relatively large overhead imposes a basic limit on the minimum communication distance of the teleportation wire.

show abstract

Single-electronics - how it works. How it's used. How it's simulated

Cited by 16 publications

References 16 publications

Application of Single Electron Threshold Logic based Device: - A case study

Application of Single Electron Threshold Logic based Device: - A case study

Evolution in Nanomaterio: The NASCENCE Project

Datapath and control for quantum wires

Contact Info

Product

Resources

About