Variational Quantum Algorithms for Quantum Chemistry
Modular PennyLane quantum chemistry suite with VQE, ADAPT-VQE, QSE, LR-VQE, VQD, QPE, VarQITE/VarQRTE, deterministic runs, and structured outputs.
Scientific computing and quantum software
Sid Richards
Quantum computing research engineer focused on quantum algorithms, numerical simulation, physics-driven modelling, and practical package-first PyPI libraries.
Selected work
Projects
Research-grade open-source projects spanning quantum chemistry, quantum machine learning, optimisation, photonics, benchmarking, and simulation.
Quantum Machine Learning
Reusable PennyLane QML library with VQC, regression, QCNN, quantum kernels, metric learning, classical baselines, and reproducible experiment pipelines.
Quantum Backend Bench
Backend-agnostic benchmarking toolkit comparing local quantum circuit simulators across Cirq, PennyLane, Braket, Qiskit Aer, CUDA-Q, pyQuil, and QuTiP.
Portfolio Optimisation via VQE and QAOA
Quantum optimisation toolkit for binary portfolio selection and fractional allocation, with QUBO/Ising models, VQE/QAOA solvers, lambda sweeps, and efficient frontier utilities.
Quantum Singular Value Transformation
Lightweight toolkit for spectral transformations via bounded polynomials, with QSVT/QSP workflows, Chebyshev approximations, filters, inverse-like transforms, and validation references.
Dynamics of Topological Photonics
Simulation suite for nonlinear gain/loss, edge modes, and stability in non-Hermitian topological lattices including NRSSH and Diamond models, based on MSci dissertation research.
Shor's Algorithm Simulation
Pure-Python, matrix-based classical simulation of Shor's factoring algorithm with explicit circuit simulation, distribution-based mode, modular exponentiation, IQFT, diagnostics, and probability visualisation.
Celestial Dynamics
Numerical simulation suite comparing Euler, Midpoint, Heun, RK4, and Verlet methods across projectile motion, two-body, and three-body gravitational systems.
Published packages
Packages
Installable packages published to PyPI, with live package metadata badges and direct install commands.
qsvt-pennylane
pip install qsvt-pennylane
PyPI
vqe-pennylane
pip install vqe-pennylane
PyPI
qml-pennylane
pip install qml-pennylane
PyPI
vqe-portfolio
pip install vqe-portfolio
PyPI
quantum-backend-bench
pip install quantum-backend-bench
PyPI
dynamics-of-topological-photonics
pip install dynamics-of-topological-photonics
PyPI
shors-algorithm-simulation
pip install shors-algorithm-simulation
PyPI
About
Research software with a physics backbone
Sid Richards is a quantum computing research engineer with a First Class MSci in Theoretical Physics and Mathematics from Lancaster University. His work spans quantum chemistry, quantum error mitigation, classical simulations of quantum algorithms, photonics, numerical methods, and applied optimisation, with an emphasis on practical package-first libraries.
He builds modular, reproducible scientific software with clear package interfaces, CLI/API workflows, and practical bridges between algorithm research and usable developer tools.
He is currently in Sydney, Australia on a Working Holiday Visa, subclass 417, working in home automation.
Former data analyst experience includes workflow automation, analytical pipeline development, and data-driven decision support.
Contact and support
Follow the work or support development
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