86 citations · 155 across the 15 of their papers we have counts for
17 papers
Evaluating Positive Feedback Adiabatic Logic in 16nm FinFET with a Realistic Power-Clock
Franciszek Łukowski, Maciej Pyrzowski, Aida Todri-Sanial
Adiabatic logic reuses the energy stored on load capacitances through quasi-reversible switching, enabling a lower minimum energy consumption than conventional static CMOS. Yet its…
Evaluation of Power-Clock Waveforms for Positive Feedback Adiabatic Logic in 16 nm FinFET Technology
Maciej Szymon Pyrzowski, Franciszek Łukowski, Aida Todri-Sanial
Adiabatic logic can recover part of the energy stored on load capacitances through quasi-reversible switching, but its waveform-optimized operation in FinFET technology and at mult…
Learning rules for complex-valued patterns in networks of oscillators
Federico Sbravati, Aida Todri-Sanial
In this article, we extend learning rules from real binary to complex-valued spins. This formulation allows for a robust and natural representation of grayscale patterns, where spi…
ODEONN: A Digital ODE Solver Architecture for Oscillatory Neural Networks
Bram F. Haverkort, Aida Todri-Sanial
Oscillatory Neural Networks (ONNs) are an alternative computing paradigm for AI and combinatorial optimization problems. However, digital architectures are often designed for speci…
Graph Coloring Approach to Solving Sudoku with Oscillatory Neural Networks
Filip Sabo, Aida Todri-Sanial
Oscillatory Neural Networks (ONNs) present an attractive physics-based computing paradigm rooted in the dynamics of a network of typically fully coupled oscillators aiming to minim…
General circuit mapping algorithm for neutral atom quantum computers
Neven Gentil, Rianne S. Lous, Lous S. Rianne +1
Neutral atom quantum computers (NAQC) are emerging as a promising, scalable quantum computing platform because of their long qubit coherence, flexible qubit arrangement, and multiq…
Solving Sudoku using oscillatory neural networks
Bram F. Haverkort, Federico Sbravati, Stefan Porfir +1
We explore the capabilities of physical computing with Oscillatory Neural Networks (ONN) to solve combinatorial optimization problems. To solve Sudokus with ONNs, we define a novel…
Overcoming Quadratic Hardware Scaling for a Fully Connected Digital Oscillatory Neural Network
Bram Haverkort, Aida Todri-Sanial
Computing with coupled oscillators or oscillatory neural networks (ONNs) has recently attracted a lot of interest due to their potential for massive parallelism and energy-efficien…
Conductive metal oxide and hafnium oxide bilayer ReRAM: an ab initio study
Antoine Honet, Aida Todri-Sanial
We perform generalized gradient approximation (GGA) simulations of interfaces between two Conductive Metal-Oxides (CMO, namely TaO and TiO) and cubic hafnium oxide () in the…
Multi-qubit Dynamical Decoupling for Enhanced Crosstalk Suppression
Siyuan Niu, Aida Todri-Sanial, Nicholas T. Bronn
Dynamical decoupling (DD) is one of the simplest error suppression methods, aiming to enhance the coherence of qubits in open quantum systems. Moreover, DD has demonstrated effecti…
Multi-programming Cross Platform Benchmarking for Quantum Computing Hardware
Siyuan Niu, Aida Todri-Sanial
With the rapid development of quantum hardware technologies, benchmarking the performance of quantum computers has become attractive. In this paper, we propose a new aspect of benc…
Analyzing Strategies for Dynamical Decoupling Insertion on IBM Quantum Computer
Siyuan Niu, Aida Todri-Sanial
Near-term quantum devices are subject to errors and decoherence error is one of the non-negligible sources. Dynamical decoupling (DD) is a well-known technique to protect idle qubi…
Effects of Dynamical Decoupling and Pulse-level Optimizations on IBM Quantum Computers
Siyuan Niu, Aida Todri-Sanial
Currently available quantum computers are prone to errors. Circuit optimization and error mitigation methods are needed to design quantum circuits to achieve better fidelity when e…
How Parallel Circuit Execution Can Be Useful for NISQ Computing?
Siyuan Niu, Aida Todri-Sanial
Quantum computing is performed on Noisy Intermediate-Scale Quantum (NISQ) hardware in the short term. Only small circuits can be executed reliably on a quantum machine due to the u…
qprof: a gprof-inspired quantum profiler
Adrien Suau, Gabriel Staffelbach, Aida Todri-Sanial
We introduce qprof, a new and extensible quantum program profiler able to generate profiling reports of various quantum circuits. We describe the internal structure and working of…
A Hardware-Aware Heuristic for the Qubit Mapping Problem in the NISQ Era
Siyuan Niu, Adrien Suau, Gabriel Staffelbach +1
Due to several physical limitations in the realisation of quantum hardware, today's quantum computers are qualified as Noisy Intermediate-Scale Quantum (NISQ) hardware. NISQ hardwa…
Electrochemical Glucose Sensor using Single-Wall Carbon Nanotube Field Effect Transistor
Reetu Raj Pandey, Jie Liang, Dilek Cakiroglu +2
In this paper, we present a simple yet sensitive method for glucose sensing using carbon nanotube field-effect transistor (CNTFET) based biosensor. The CNTs were well-dispersed to…