Learning across disciplines. Building depth before scale.

Paper/1 Sept 2026/v2

We review the variational quantum eigensolver (VQE) as a near-term route to estimating molecular ground-state energies, formalise the variational principle it rests on, and analyse how the choice of ansatz and the measurement cost of a Pauli-decomposed Hamiltonian govern its practicality. A hybrid classical/quantum optimisation loop is described, and the conditions under which barren plateaus erase the method's advantage are made explicit.

Research Note/7 Aug 2026

Working through how CPUs, GPUs, simulators, and QPUs should interact inside a research environment, including orchestration, data movement, workload placement, reproducibility, and where quantum subroutines actually belong in a larger classical computing pipeline.

Research Note/4 Aug 2026

Exploring how data structures, plasticity, memory, neural dynamics, and biologically inspired representations might translate into computational primitives before deciding how those ideas should map onto hardware.

Research Note/26 Jul 2026

Exploring how Lean, Coq, Isabelle/HOL, Z3, and TLA+ could complement tools such as Qiskit, PennyLane, Braket, and QuTiP — from mathematical specifications and proofs to circuit verification and the infrastructure coordinating classical and quantum execution.

Essay/13 Aug 2026

Thinking through what it would take to build a small independent research institute alongside my academic development: how it should be structured, how it could collaborate with established laboratories and universities, and how fundamental research might eventually lead to publications, intellectual property, or spinouts.

Journal/16 Sept 2026

Why I'm keeping a public, read-only journal alongside the papers and notes — a place to share writing and updates directly, without turning every page into a comment thread.