feat: add aarch64 neon simd support for distance calculations

[knudtty]

Closes #126

Added simd distance (cosine and l2) calculations for aarch64 neon intrinsics. Tested on Macbook M1 Max, AWS EC2 t4g.medium, and even a Raspberry Pi 4. Benchmarks showed anywhere from 3-10x performance improvements depending on the machine. Seeing that many cloud managed db's use ARM (AWS RDS is all Gravitron3 chips IIRC), Neon SIMD would go a long ways.

Added a test between this new function and the unoptimized version to ensure distance calculations are equivalent. All tests pass.

[cevian]

Thanks for the great PR a few asks:

1. can you please add the equivalent of https://github.com/timescale/pgvectorscale/blob/main/pgvectorscale/src/access_method/distance.rs#L12 for neon

2. optional: can you add something to https://github.com/timescale/pgvectorscale/blob/main/pgvectorscale/benches/distance.rs (or maybe a different bench)

3. please address the inline comments.

Thanks again

[knudtty]

1. can you please add the equivalent of https://github.com/timescale/pgvectorscale/blob/main/pgvectorscale/src/access_method/distance.rs#L12 for neon

Sure

2. optional: can you add something to https://github.com/timescale/pgvectorscale/blob/main/pgvectorscale/benches/distance.rs (or maybe a different bench)

The neon distance calcs are being run as part of benchmark_distance since their inclusion in distance_l2 and distance_cosine, were you thinking to also add the unoptimized benchmarks for comparison next to it like this?