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07/19/2023
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices
Quantum computing presents a promising approach for machine learning wit...
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05/04/2023
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing
In many neuromorphic workflows, simulators play a vital role for importa...
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08/15/2022
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron
Neuromorphic computers perform computations by emulating the human brain...
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01/05/2022
A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification
Deep learning is one of the most successful and far-reaching strategies ...
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12/01/2021
Discriminating Quantum States with Quantum Machine Learning
Quantum machine learning (QML) algorithms have obtained great relevance ...
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04/28/2021
Neuromorphic Computing is Turing-Complete
Neuromorphic computing is a non-von Neumann computing paradigm that perf...
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09/02/2020
Quantum Discriminator for Binary Classification
Quantum computers operate in the high-dimensional tensor product spaces ...
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09/01/2020
Training Deep Neural Networks with Constrained Learning Parameters
Today's deep learning models are primarily trained on CPUs and GPUs. Alt...
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08/17/2020
Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem
In this work, we attempt to solve the integer-weight knapsack problem us...
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08/10/2020
Balanced k-Means Clustering on an Adiabatic Quantum Computer
Adiabatic quantum computers are a promising platform for approximately s...
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08/05/2020
QUBO Formulations for Training Machine Learning Models
Training machine learning models on classical computers is usually a tim...
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08/05/2020
Adiabatic Quantum Linear Regression
A major challenge in machine learning is the computational expense of tr...
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04/21/2020