21 citations · 51 across the 14 of their papers we have counts for
15 papers
Quantum quenches of scar states in the Affleck-Kennedy-Lieb-Tasaki model via Clifford augmented tensor network simulation
Azar C. Nakhl, Ben Harper, Muhammad Usman +1
Clifford augmented methods have emerged as a powerful technique to simulate quantum circuits and many-body systems by exploiting the stabiliser structure found in said systems, whi…
Quantum-Inspired Computational Fluid Dynamics for Transient Turbulent Compressible Flows
Shang Xian Matthew Lee, Melissa Kozul, Muhammad Usman +3
Quantum-inspired algorithms are an emerging class of algorithms for computational fluid dynamics (CFD) with potentially favourable scaling for large problems compared to classical…
LUCI on IBM Hardware: Error Suppression with Almost Half Syndrome Density
Younghun Kim, Spiro Gicev, Martin Sevior +1
Long-lived logical qubits are essential for fault-tolerant quantum computation. However, the practical performance of traditional error correction protocols relies on performing sp…
Fourier analysis of quantum neural network with non-linear data embedding
Haiyue Kang, Martin Sevior, Muhammad Usman
Fourier analysis has become a crucial tool for understanding the expressivity of Variational Quantum Circuit (VQC) models, as well as an important indicator of barren plateaus (BP)…
Crosstalk In Contemporary Quantum Devices
Spiro Gicev, Ben Harper, Haiyue Kang +2
Crosstalk noise derives from phenomena in quantum devices which inhibit individual addressability or cause unintended interactions among qubits. It is widely considered one of the…
Non-Clifford Crosstalk Noise in Surface Codes Using Hybrid Stabilizer-Tensor Network Methods
Ben Harper, Azar C. Nakhl, Martin Sevior +1
Scalable realisation of quantum computing is reliant on the development of fault tolerant devices. Analysis of quantum error correction protocols typically considers incoherent noi…
Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning
Maureen Krumtünger, Martin Sevior, Muhammad Usman
Group-equivariant quantum models are designed to exploit symmetry and can improve trainability, but it remains unclear how symmetry constraints shape their adversarial robustness.…
Time-Dynamic Circuits for Fault-Tolerant Shift Automorphisms in Quantum LDPC Codes
Younghun Kim, Spiro Gicev, Martin Sevior +1
Quantum low-density parity-check (qLDPC) codes have emerged as a promising approach for realizing low-overhead logical quantum memories. Recent theoretical developments have establ…
GCAMPS: A Scalable Classical Simulator for Qudit Systems
Ben Harper, Azar C. Nakhl, Thomas Quella +2
Classical simulations of quantum systems are notoriously difficult computational problems, with conventional state vector and tensor network methods restricted to quantum systems t…
Time-adaptive single-shot crosstalk detector on superconducting quantum computer
Haiyue Kang, Benjamin Harper, Muhammad Usman +1
Quantum crosstalk which stems from unwanted interference of quantum operations with nearby qubits is a major source of noise or errors in a quantum processor. In the context of sha…
Magic State Injection on IBM Quantum Processors Above the Distillation Threshold
Younghun Kim, Martin Sevior, Muhammad Usman
The surface code family is a promising approach to implementing fault-tolerant quantum computations. Universal fault-tolerance requires error-corrected non-Clifford operations, in…
Stabilizer Tensor Networks with Magic State Injection
Azar C. Nakhl, Ben Harper, Maxwell West +4
This work augments the recently introduced Stabilizer Tensor Network (STN) protocol with magic state injection, reporting a new framework with significantly enhanced ability to sim…
Transversal CNOT gate with multi-cycle error correction
Younghun Kim, Martin Sevior, Muhammad Usman
A scalable and programmable quantum computer holds the potential to solve computationally intensive tasks that classical computers cannot accomplish within a reasonable time frame,…
Adversarial Robustness Guarantees for Quantum Classifiers
Neil Dowling, Maxwell T. West, Angus Southwell +4
Despite their ever more widespread deployment throughout society, machine learning algorithms remain critically vulnerable to being spoofed by subtle adversarial tampering with the…
Calibrating the role of entanglement in variational quantum circuits
Azar C. Nakhl, Thomas Quella, Muhammad Usman
Entanglement is a key property of quantum computing that separates it from its classical counterpart, however, its exact role in the performance of quantum algorithms, especially v…