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Week 5 – Updating Simulated Annealing for QCO
25 Jul 2025 - Miles MAL - Simulating Annealing, quantum circuit optimisation
What is my project about?
I am building a machine learning model that predicts errors, and using these to optimise quantum circuits.
Why use Quantum Computers, and what problems exist?
- Quantum computers promise revolutionary speedups due to quantum mechanical effects, however its reliability is limited by noisy hardware. My project aims to use AI to increase efficiency and error-awareness in Noisy Intermediate Scale Quantum (NISQ) devices, prior to Quantum Error Correction (QEC).
Overall Goal
- Develop an AI-enhanced quantum circuit optimiser.
- Predict the effects of quantum noise (qubit decoherence, quantum gate and measurement errors)
- Recommend optimisations to improve the efficiency of quantum circuits.
Tasks completed this week
| Task | Checklist |
|---|---|
| Generated a Simulated Annealing algorithm for QCO | ✔ |
| Updated my RL Policy | ✔ |
This week
Alot of work has been done to make my Simulated Annealing algorithm’s work; including messing around with gate and depth fidelity parameters and cooling temperatures, to ensure my algorithm does operate Quantum circuits. I do seem to be having an issue with consistenly getting the algorithm to optimise circuits AND keep them logically quivalent; they seem to be closer to equivalence now - however, still not reliably complete fidelity (please note - I have not yet added noise to my system, so this should not be here.) I have added equivalence checks on the states of each qubit, in addition to plotting graphs to demonstrate reduced gate and depth count after optimisation.
Next week’s plan
- Continue to check my gate identity logic; to ensure my Simulated Annealing algorithms run with 100% fidelity.
- Simulate and add noise to the circuit (test optimisations of this with simulated annealing)
- Resolve the issue I have with my RL policy which is causing a constant -ve reward and no modified circuit.
- Convert my circuit generator into a function which feeds circuits into RL environment