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+== Introduction
+What I'll be making is a program that uses a Hardware discriptor 
+-like the one exported by qiskit- together with a target expressibility, 
+target entanglement, and a minimal Fidelity to produce a 
+diverse set of Parametrised Quantum Circuits. 
+The program will be using one of the Quality-Diversity Evolutionary Algorithms@qdea to achieve this,
+the quality aspect will use the Expressibility, Entanglement, and simulated Noise -or proxies for these-
+to determine the Quality, while some measure of distance between different expressible Hilbert Spaces
+will be developed to help the algorithm with the Diversity aspect.
+We opt for a modular but integrated approach where it's simple to modify, add, or remove proxies
+from the Evolutionary Algorithm, this way the system can be built upon for future research.
+In the next parts I'll list the inputs and outputs in a more structured way.
+
+= Inputs
+- Hardware description (like in Qiskit for example)
+  - Topology: Connection graph between qubits
+  - Valid gates: Valid hardware gates on each qubit/connection
+  - Fidelities of gates: Gate fidelity on a per-qubit/connection basis
+  - Decoherence times: Decoherence times of each qubit
+- Target Expressibility: Expressibility that should be searched towards, both lower and higher than the target will be penalised by the cost function
+- Target Entanglement: Entanglement that should be searched towards, also penalises both ways
+- Minimal Fidelity: Circuits with a lower output fidelity than this will get penalised
+
+= Outputs
+
+- The set of optimised PQCs that cover a diverse set of areas on the Hilbert space
+  - each circuit will balance diversity and performance (based on input targets)
+  - each circuit will have a one-to-one trivial mapping to the hardware due to hardware descriptor input
+- The final values of each used proxy per circuit
+  - Expressibility
+  - Entanglement
+  - Fidelity
+
+
+== References
+
+#bibliography("references.bib")