15 papers
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…
DSpinGNN: A Physics-Informed Equivariant Graph Neural Network for Dynamic Magnetic Exchange Prediction in Strain-Deformed Monolayer CrI
Isam A. Balghari, M. Faryad, M. Sabieh Anwar
Resolving the instantaneous, position-dependent isotropic magnetic exchange coupling across a dynamically deforming crystal lattice requires a computational approach that…
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…
Hardware-Aware Quantum Support Vector Machines
Adil Mubashir Chaudhry, Ali Raza Haider, Hanzla Khan +1
Deploying quantum machine learning algorithms on near-term quantum hardware requires circuits that respect device-specific gate sets, connectivity constraints, and noise characteri…
Analysis of State Teleportation using Noisy Quantum Gates
Imama Tul Birrah Khan, Muhammad Faryad
Noise is a major challenge in quantum computing, affecting the reliability of quantum protocols. In this work, we analytically study the impact of various noise processes, such as…
Distribution-Guided and Constrained Quantum Machine Unlearning
Nausherwan Malik, Zubair Khalid, Muhammad Faryad
Machine unlearning aims to remove the influence of specific training data from a learned model without full retraining. While recent work has begun to explore unlearning in quantum…
Geometric Parameterization of Kraus Operators with Applications to Quasi Inverse Channels for Multi Qubit Systems
Zain Ateeq, Muhammad Faryad
This work presents a differentiable geometric parameterization of quantum channels in Kraus representation, which can be efficiently probed to find an unknown quantum channel. We e…
Noise Thresholds for Quantum Advantage in the Bernstein-Vazirani and Deutsch-Jozsa Algorithms
Muhammad Faizan, Muhammad Faryad
We analytically investigate the robustness of the Bernstein-Vazirani and Deutsch-Jozsa algorithms against single-qubit Pauli noise, of which bit-flip, phase-flip, and depolarizing…
Enhancement of non-Markovianity due to environment-induced indirect interaction
Asif Zaman, Muhammad Faryad, Adam Zaman Chaudhry
Non-Markovian effects are often significant when the system-environment coupling is not weak. Indeed, we find that the non-Markovianity is negligible for a single two-level system…
Physics-inspired neural networks as quasi inverse of quantum channels
Sameen Aziz, Muhammad Faryad
Quantum channels are not invertible in general. A quasi-inverse allows for a partial recovery of the input state, but its analytical results are found only in a restricted space of…
Quasi Inverse of Qubit Channels for Mixed States
Muhammad Faizan, Muhammad Faryad
We found the quasi inverse of qubit channels as a unitary map, , by minimizing the average trace distance between the input state to the channel and the output of th…