13 papers · 1 filter
Batched pattern search for QAOA parameter optimization on cloud-accessed quantum hardware
Muhammad Faryad
On a cloud-accessed quantum processor the classical optimizer of a variational algorithm communicates with the device through submitted jobs, and each job carries a queueing and tu…
Noise Resilience of Quantum Support Vector Machine with Selected Feature Maps
Muhammad Ahsan Shakeel, Saad Muzammil, Danyal Tayyub +1
Gate-level noise degrades the classification accuracy of Quantum Support Vector Machines (QSVMs) on Noisy Intermediate-Scale Quantum (NISQ) hardware, and the degree of degradation…
Quantum Kernel k-Means for Credit-Card Fraud Detection:A Controlled Benchmark on Real Transaction Data
Muhammad Faryad
We benchmarked quantum kernel -means against classical clustering for credit-card fraud detection on real transaction data, at up to \MaxQubits{} qubits, under a protocol with s…
The Input Problem: A Permanent Bottleneck for Quantum Machine Learning
Muhammad Faryad
Quantum algorithms are conventionally presented with their input state supplied for free. When the input is classical data, this convention conceals a cost that is frequently large…
A Systematic Study of Noise Effects in Hybrid Quantum-Classical Machine Learning
Bhavna Bose, Muhammad Faryad
Near-term quantum machine learning (QML) models operate in environments wherein noise is unavoidable, arising from both imperfect classical data acquisition and the limitations of…
Hybrid Quantum--Classical k-Means Clustering via Quantum Feature Maps
Syed M. Abdullah, Alisha Baba, Muhammad Siddique +1
Clustering is one of the most fundamental tasks in machine learning, and the k-means clustering algorithm is perhaps one of the most widely used clustering algorithms. However, it…