14 citations · 23 across the 20 of their papers we have counts for
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Adaptive decoding of quantum LDPC codes through decoder disagreement
Maida Wang, Peter V. Coveney
Accurate decoding of quantum low-density parity-check (qLDPC) codes often relies on expensive post-processing search, although decoding difficulty varies strongly between syndromes…
Parallel and Distributed Fermionic Simulation via Dynamic Encoding
Michael Williams de la Bastida, Peter V. Coveney
We demonstrate a simple and efficient method to parallelize and distribute Trotterized Hamiltonian simulation of fermionic systems across multiple QPUs. Using combinatorial coverin…
Quantum Statistical Memory Advantage Reveals Predictive Structure in Chaotic Invariant Measures
Maida Wang, Xiao Xue, Minh Chung +1
Long-horizon prediction of a chaotic system is governed by fidelity to its invariant measure, and which parts of that measure a learned predictor needs is a physical question not k…
Quantum-Accelerated Self-Consistent Field: A Hybrid Algorithm
Alexis Ralli, Tim Weaving, Thomas M. Bickley +2
We present the Grover adaptive search self-consistent field (GAS-SCF) algorithm. GAS-SCF leverages quantum arithmetic to construct an efficient oracle that marks target states (Foc…
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…
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…
Towards Compact Wavefunctions from Quantum-Selected Configuration Interaction
Tim Weaving, Angus Mingare, Alexis Ralli +1
A recent direction in quantum computing for molecular electronic structure sees the use of quantum devices as configuration sampling machines integrated within high-performance com…
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…
Simulating the Antiferromagnetic Heisenberg Model on a Spin-Frustrated Kagome Lattice with the Contextual Subspace Variational Quantum Eigensolver
Tim Weaving, Alexis Ralli, Vinul Wimalaweera +2
In this work we investigate the ground state properties of a candidate quantum spin liquid using a superconducting Noisy Intermediate-Scale Quantum (NISQ) device. Specifically, we…
Bridging Quantum Chemistry and MaxCut: Classical Performance Guarantees and Quantum Algorithms for the Hartree-Fock Method
Alexis Ralli, Tim Weaving, Peter V. Coveney +1
In quantum chemistry, self-consistent field (SCF) algorithms define a nonlinear optimization problem, with both continuous and discrete components. In this work, we derive Hartree-…
A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor
Maida Wang, Jinyang Jiang, Peter V. Coveney
Quantum machine learning has gained attention for its potential to address computational challenges. However, whether those algorithms can effectively solve practical problems and…
Accurately Simulating the Time Evolution of an Ising Model with Echo Verified Clifford Data Regression on a Superconducting Quantum Computer
Tim Weaving, Alexis Ralli, Peter J. Love +2
We present an error mitigation strategy composed of Echo Verification (EV) and Clifford Data Regression (CDR), the combination of which allows one to learn the effect of the quantu…
Contextual Subspace Variational Quantum Eigensolver Calculation of the Dissociation Curve of Molecular Nitrogen on a Superconducting Quantum Computer
Tim Weaving, Alexis Ralli, Peter J. Love +2
In this work we present an experimental demonstration of the Contextual Subspace Variational Quantum Eigensolver on superconducting quantum hardware. In particular, we compute the…