I've been working on a framework that uses Lie Algebra (commutators) to detect structural breaks in financial markets, and wanted to share it with the community. After extensive validation across 33 market-event pairs spanning 2000-2024, the two-signal system achieves 100% detection on pre-specified institutional stress episodes across 8 asset classes.

On false positives: The system triggers ~0.8 false positives per year per market (vs. 2.3/year for Lambda-F alone, 4.5/year for rolling volatility). Pre-specified events are macro/institutional stress episodes; exogenous "no-precursor" shocks are excluded by design (see Black Swan section).

The Theory

Instead of looking at pr

Hey r/QuantumComputing,

I've built a classical QEC validation tool that processes syndrome time series to predict error suppression

without needing the full quantum state simulation. I figured this community might find it interesting.

The basic idea: analyze syndrome patterns from your QEC experiments to predict Lambda (error suppression factor) and validate hardware performance. On Google Willow data (google_105Q_surface_code_d3_d5_d7), I'm getting R² = 0.9999 for predicted vs actual error rates, processing 50K shots in about 2 seconds.

How it works:

- Input: Stim .b8 files (detection events from your QEC experiments)

- Output: Lambda prediction, error rate

Hey r/QuantumComputing,

I've built a classical QEC validation tool that processes syndrome time series to predict error suppression

without needing full quantum state simulation. I figured this community might find it interesting.

The basic idea: analyze syndrome patterns from your QEC experiments to predict Lambda (error suppression factor) and validate hardware performance. It's a direct mathematical calculation (not statistical fitting or ML), with O(n log n) complexity instead of the traditional O(4^n) approach. Using Google Willow data (google_105Q_surface_code_d3_d5_d7), I'm getting R² = 0.9999 for predicted vs actual error rates, processing 50K shots in about 2 sec

Heya. I'm researching attitude estimation validation. Does this community write custom quaternion/rotation code? If so, when you have orientation bugs, how do you currently debug them? Any tools methods or advice would be appreaciated. Thanks!

I'm doing some research on the common 'phantom' problems in robotics—things like intermittent jitter, control oscillations, or weird latency that don't cause a hard crash but are a pain to solve. What's a problem you've faced recently that took way longer than it should have to figure out? What tools did you wish you had?

My accountant retired suddenly, and I'm looking for a new CPA in or around Chattanooga. It's a bit more complex than what I'd have paid H&R block to handle in the past.

Has anyone had any luck finding an organization that actually does a one-time close VA construction loan(ie, only pay closing costs once)? The closest I've found is PRMI, and they technically only close once, but still hit you with two sets of closing costs lumped into one.