From the 1 of 21 linked papers with an AI index.
12 papers · 1 filter
The arrow of time, irreversibility, equilibrium and measurement in quantum mechanics
Christopher J. N. Coveney, Peter V. Coveney
Quantum mechanics is widely recognised as being incomplete. It is not consistent with the second law of thermodynamics and does not provide a scientifically credible physical accou…
Quantum-Accelerated Self-Consistent Field: A Hybrid Algorithm
Alexis Ralli, Tim Weaving, Thomas M. Bickley +2
The paper proposes a hybrid quantum‑classical algorithm, GAS‑SCF, that uses Grover‑based adaptive search and amplitude amplification to accelerate self‑consistent field calculation…
Practical Quantum Advantage before Fault Tolerance via Quantum-Informed Machine Learning
Maida Wang, Xiao Xue, Minh Chung +1
Early quantum devices can deliver a practical advantage before fault tolerance. The role we identify is a statistical module within a classical scientific workflow: a compressed me…
Practical Log-Depth Quantum State Preparation and Circuit Verification via Tree Tensor Network Compilation
Angus Mingare, Peter V. Coveney
Matrix product states provide efficient classical descriptions of quantum systems that may be useful as reference states for quantum algorithms such as quantum phase estimation and…
Optimised Fermion-Qubit Encodings for Quantum Simulation with Reduced Transpiled Circuit Depth
Michael Williams de la Bastida, Thomas M. Bickley, Peter V. Coveney
Simulation of fermionic Hamiltonians with gate-based quantum computers requires the selection of an encoding from fermionic operators to quantum gates, the most widely used being t…
Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage
Maida Wang, Xiao Xue, Mingyang Gao +1
We introduce a quantum-informed machine learning (QIML) framework for modelling the long-term behaviour of high-dimensional chaotic systems. QIML combines a one-time, offline-train…